Final for online pdf.cdr - FAST - NUCES Peshawar

CONTENTS

FAST-NUCES

The Foundation

Chiniot-Faisalabad Campus 9

The University

Deans of Faculties 7

Research Centres 23

Karachi Campus 53

Board of Governors 7

Board of Governors of FAST 4

Research Centres 54

Faculty 13

Faculty 61

Lahore Campus 69

Research Centres 10

Research Centres 70

Campuses & Faculty

Faculty 40

Rector's Message 6

Board of Trustees 7

Faculty 75

Peshawar Campus 87

Officers of the University 7

Islamabad Campus 21

Research Centres 88

Programs offered & Campuses 94

BS (Software Engineering) 105

MS (Computer Networks & Security) 109

Programs in Computing

BS (Artificial Intelligence) 96

BS (Data Science) 103

MS (Computer Science) 110

Faculty 91

MS (Artificial Intelligence) 108

BS (Cyber Security & Digital Forensics) 101

BS (Computer Science) 98Financial Assistance/Scholarships 145

Admission & Academic Schedules 143

Admission Information 141

NU Online Admission Test 142

Admission Information

Code of Conduct 151

Academic Rules & Regulations 147

Rules & Regulations

Directorate of Quality Assurance 139

Transport & Hostel Facilities 146

Fee Information 144

BS (Accounting & Finance) (4 years) 126

Programs in Management Sciences

MBA (2 years) 128

MS (Applied Linguistics) 132

MS (Management Sciences) (2 years) 130

Programs in Engineering

MS (Software Engineering) 112

BS Electrical Engineering 118

PhD (Doctor of Philosophy) 136

Office of Research, Innovation &

Commercialization (ORIC) 137

MS (Accounting & Finance) (2 years) 129

MS (Mathematics) 133

MS Civil Engineering 120

Programs in Sciences & Humanities

MS (Data Science) 111

MS (Software Project Management) 113

BS Civil Engineering 116

MS Electrical Engineering 122

BBA (4 years) 124

FAST-NUCES

Karachi campus

THE FOUNDATION

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The Foundation

A Board of Governors, elected in accordance with its Constitution, manages the affairs of the Foundation. The members of the Board are eminent personalities in their respective fields and are associated with the Foundation in an honorary capacity.

The sponsoring body of the University – the Foundation for Advancement of Science and Technology (FAST) was established in 1980. It is registered with the Government of Pakistan as a charitable institution. In 1985, it selected higher education as a vehicle to pursue its objective of producing scientists and technologists of the highest calibre. FAST pioneered the development of IT industry in Pakistan by offering the country's first undergraduate program in Computer Science. Today, this University, sponsored by FAST, stands recognized as the leader and trend-setter in this field in Pakistan and abroad.

Rana Ghulam Shabbir, S.I., T.Q.A

BOARD OF GOVERNORS OF FAST

President Mr Wasim Sajjad, N.I.

Members

Dr Amir Muhammed Mr Arshad Nasar Justice (R) Mian Muhammad Ajmal Dr Naveed A. MalikMr Nawazish Ali Seth Mr Nisar A. Memon Mrs Parveen Qadir AghaMr Qaiser Ahmed Shaikh Mr Rashid A. Khan Justice (R) S. Ali Aslam Jafri Dr Samar Mubarakmand Dr UAG Isani

Secretary General

FAST-NUCES04

THE UNIVERSITY

Islamabad campus

FAST-NUCES 05

The University

Rector's Message

We are continuously updating and improving the quality of our programs. To achieve this, we are always striving to attract talented scholars to our faculty and improving the library and laboratory facilities. This helps inculcate a culture of research and scholarship. The real job of a university is to generate new knowledge, and we are always encouraging establishment of research centres where faculty and students are involved in research, relevant to the national needs.

While emphasizing the highest level of professional competence and personality development in our under-graduate students, it is my conviction that graduate programs should be the focal point for any university. Research leads to discovery of new knowledge which is the main purpose of universities all over. Progress of humanity is fuelled by each new discovery and development. Nations which invest in research today can expect rich dividends tomorrow.

Rector Muhammad Ayub Alvi, PhD

FAST-NUCES06

The University

Board of Trustees

CHAIRMANMr Wasim Sajjad, Chancellor

MEMBERSMr Arshad NasarMr Nawazish Ali SethMrs Parveen Qadir AghaMr Qaiser Ahmed ShaikhMr Justice (R) S. Ali Aslam JafriDr UAG IsaniRectorChairman, HEC

Patron of the University

President of Pakistan

Board of Governors

CHAIRMANDr Ayub Alvi, Rector

MEMBERSDr Amir MuhammedMr Ahmad FarooqJustice (R) Mian Muhammad AjmalMr Rashid A. KhanDr Waseem Ikram Registrar, SecretaryChairman, HEC

Founded as a Federally Chartered University in July 2000, the National University of Computer and Emerging Sciences is a premiere University of Pakistan, renowned for quality and impact of its students in the development of local software and other industries. The university has five modern campuses at Karachi, Lahore, Islamabad, Peshawar and Chiniot-Faisalabad. These campuses provide world class educational

environment and recreational facilities to about 11,000 students, around one quarter are female.Research wings of the university are well recognized, nationally and internationally. They are embarked upon cutting edge research having direct impact on the social, economic and technological needs of Pakistan. Our vision is to become a globally recognized research university of Pakistan within the next decade.

ChancellorRectorRegistrarTreasurer

Deans of FacultiesOfficers of the University

Mr Wasim SajjadDr Ayub AlviEngr. Raza Ur RaheemMs Mayral Zafar

ComputingEngineering Management SciencesSciences & Humanities

Dr M. Atif TahirDr Waseem IkramDr Sadia NadeemDr Akhlaq Bhatti

FAST-NUCES 07

Lahore campus

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Faculty and Campuses

Situated at the junction of Pakistan's industrial hub—Faisalabad and the historically rich city of Chiniot in suburbs of River Chenab, the Chiniot - Faisalabad campus is the 5th campus of the university. The campus symbolises the desirable connect between nature and industry and between tradition and modernity. Its picturesque surroundings in the outskirts of Pakistan's Manchester, the home to textile industry, represent human advancement from agrarian to industrial and technological society. The campus is located on 22-acres of land on Faisalabad Sargodha Road (about 9 km from M4 Motorway Faisalabad interchange towards Chiniot).

The Campus has been established to carry forward the academic traditions of excellence in professional and personal aspects of the students. The aim is to follow the footsteps of the alumnae of the 4 sister campuses in Islamabad, Lahore, Karachi, and Peshawar. Graduates of all sister campuses of this university are well-received by the industry and hold prominent positions in many national and multinational corporations. A large number of university alumni are serving in prestigious institutions and organizations across the world like Google, Facebook, Microsoft, YouTube, Oracle, NCR, LMKR, IBM, and many more. The physical proximity of the Campus with some of the leading

industrial enterprises will go a long way in furthering the cause of professional education in the country.in Computer Science, Electrical Engineering and Business Administration. To confer academic excellence on its graduates, the campus has scholarly, seasoned, dedicated, and professionally stimulated faculty. The campus has state of the art computing, engineering and other support facilities. Spacious and well-equipped computer and engineering labs impart practical orientation to the students in their respective areas of study. Audio-visually supported and well-furnished class rooms offer a favourable, conducive, and constructive learning environment to the students.

The University aims at making this campus a centre of excellence in application of information and communication technology in agriculture and textile industries.

In order to contribute to the physical fitness of students and assist them in unwinding, the campus extends sports facilities in both indoor and outdoor games like cricket, football, badminton, table tennis, volleyball, basketball, futsal, and chess. Besides sports, healthy competitions in the fields of information technology, business and arts are frequently organized by the campus.

DirectorDr Aftab Maroof

PhD (CS), Univ of Wales, UK (1996)Msc (CS), Univ of Wales, UK (1992)

Professor & Director

Msc (Statistics), PU, Lahore (1979)

Chiniot-Faisalabad

The Chiniot-Faisalabadcampus offersfollowing degree programs:

BS(ComputerScience)

BS(ElectricalEngineering)

BS(SoftwareEngineering)

MBA

MS(ComputerScience)

MS(ElectricalEngineering)

PhD(ComputerScience)

BBA

FAST-NUCES 09

· Prediction of pollution and its effects on health using remote sensing images and machine learning approaches;

· Detecting and exploring spatio-temporal profiles of lifestyles and activity patterns;

· Prediction of disease and crime spread;

· Career progression trajectory prediction;

· Temporal and spatio-temporal sentimental analysis for tourist attraction recommendation;

· Soliciting, triangulating and analyzing crowd-sourced volunteered data that link physical and virtual identities.

8 MS theses have successfully been completed with 4 distinctions and 3 best paper awards. Most of the research activity under this platform seeks convergence of Software Engineering and Operations research & Ai dimensions. In context of SE, a peculiar focus is on Evidence-based software engineering (EBSE), Automated Software Engineering (ASE), Requirements Engineering (RE), Maintenance & debugging, Service-oriented Software Engineering (SOSE) and Search-based Software Engineering (SBSE). In context of Operations Research & AI, FAST-SEOR has an application-oriented focus. More specifically, this group seeks applications of granular computing, soft computing, optimization algorithms, Classification techniques and DSS to solve complex software engineering problems. Within this dimension, another peculiar focus is to design novel and effective intelligent methodologies e.g. developing Fuzzy extensions of deterministic decision support algorithms, devising hybrid/integrated decision models and developing extended meta-heuristics optimization techniques.

Spatial Analytics Research (SAR) Group is led by Dr. Shahzad Sarfraz. SAR group is a multidisciplinary research group established at the department of Computer Science at National University of Computer and Emerging Sciences (NUCES-CFD). Research group explores socioeconomic, demographic, Big Data and relating them to more conventional and well-grounded data infrastructures. Group primary motivation is to visualize, understand, and predict the location and dynamics of human behaviour along with natural phenomenon. The Group focuses on research and education with regards to Geographical and Spatial Analysis as well as locational planning. SAR Group provides access to hardware, software and data to conduct research related activities. Besides providing facilities the group is also providing research project consultations. Moreover, the group is also focusing in developing platforms for use with open source and proprietary GIS systems. SAR's goals are to advance the science and technology of GIScience and earth observing that can further lead to the transdisciplinary application of spatial data science solutions for addressing novel and impactful research questions. Group hosts an active group that will serve as a platform to foster in the domain of Remote Sensing and GIS. SAR is comprised of innovators and trailblazers in the fields of GIScience and spatial analysis. Currently, the student members of this group are working in the following areas.

1. Spatial Analytics Research (SAR) Group

Partnerships and collaborationsWhilst much of group research is HEC funded, we also undertake research in partnership with a number of public and private sector institutions. Currently, this group is also running NRPU funding worth 4.87 million.

Dr. Khubaib Amjad Alam founded Software Engineering and Operations research (FAST-SEOR) group after joining NUCES in 2018. This research group serves as a platform to foster multifaceted R&D activity in Software Engineering, Operations research and Information sciences domains. FAST-SEOR has recently emerged as one of the most dynamic and productive research groups of FAST-NUCES. Since its inception, SEOR has produced 22 research publication in reputed venues, like, IET Software, Multimedia tools and applications, Mathematics and IEEE FUZZ to name a few. Till now,

2. Software Engineering and Operations Research (FAST-SEOR) Group

Delta-R group has been initiated under the supervision of Dr. Usman Habib. Delta-R group at the Department of Computer Science, FAST NUCES CFD Campus is dedicated to perform research in the areas of Data Analytics, Machine Learning, Computer Vision, Medical Image Processing, Information security, Natural Language, and Distributed Computing. Our goal is to create the intersection between various

3. Delta-R Group

Research Centres

FAST-NUCES10

disciplines. Expert faculty having extensive experience in both academia and research are leading the research team according to their area of expertise. The research group is working in the following fields:

computing for identification of the parallelism in the computationally intensive problems. This identification leads to the design and development of the efficient parallel algorithms. The efficiency is usually considered in terms of time, memory, and the scalability dimensions.

as automatic vehicle license plate detection, face recognition, tracking and human activity detection. We are also developing IoT based solutions for energy management and industrial process monitoring. In addition, we are working on the development of advanced intelligent active, passive and hybrid fault tolerant control algorithms for critical industrial process machines such as IC engines and compressors for faults in the sensors and actuators. IC engines are the widely used equipment in process applications as prime movers. Fault tolerant systems prevent the shutdown of the engine caused by faults, thereby, avoiding production loss.

· In term of Machine Learning and computer vision our goal is to encompass research in both theoretical and applied aspects of computational vision, with focus on motion, and stereo. Natural Language Processing is the technology used to aid computers to understand the human's natural language.

· Natural Language Processing, shortened as NLP, is a branch of artificial intelligence that deals with the interaction between computers and humans using the natural language. Interactive Voice Response (IVR) applications used in call centers to respond to certain users' requests. Personal assistant applications such as OK Google, Siri, Cortana, and Alexa.

· The information security over the unsecured internet which is one of the most important challenging research areas. Three main techniques for information security are watermarking, cryptography, and steganography. Steganography research is applicable to multiple areas including confidential communication and secret data storing, protection of data alteration, access control system for digital content distribution and media database systems.

· Parallel and Distributed

· Related to Medical Image Processing, we strive the development of new methods for image acquisition, processing, and analysis. Automated diseases detection and prevention systems are in the main focus of the scope.

I3 Lab is working on different external and internal funded projects. We are working on Computer vision based projects for automation of tasks such

I3 Lab focuses on applied research in Embedded Systems, Internet of Things (IoT), AI, Machine Learning and Industry 4.0 for solving real-world problems. Industry 4.0 refers to the concept of factories in which intelligent robots and smart connected machines are augmented with wireless connectivity and sensors. The goal of I3 Lab is to conceive, design and develop machine learning based embedded systems that can recognize and understand their environment to make informed decisions and provide actionable insights. The demand of developing intelligent automation systems using advanced engineering and innovative technologies is increasing. Advancement in the field of embedded systems, artificial intelligence and robotics are playing a conducive role to make practical and realizable systems. The team of I3 Lab is developing industrial automation solutions using advanced engineering principles and with the help of innovative approaches like artificial intelligence, machine learning and IoT. For this purpose we closely work with our collaborators from industry and academia. We have developed state-of-the-art labs and experimentation setup in different domains of electrical engineering.

4. IoT, Intelligent Systems & Industry 4.0 (I3) Lab

Funded R&D Projects

Rs 4.1 Million by HEC for duration of 3 years.

· Design and Implementation of an Autonomous Multi-Unmanned Air Vehicle (UAV) System Using a Hardware-In-The-Loop (HIL) Real-Time Platform. The project has total approved fund of

· Automatic Weapon Detection in Real-time Videos for Identification of Potential Terrorists and Robbers. The project has total approved fund of Rs 2.498 Million for duration of 2 years

Dr. Muhammad Gufran Khan, Associate Professor & HoD EE is head of the I3 research Lab.

Research Centres

FAST-NUCES 11

The key research and academic goals of the lab include:

The Centre for Clean and Renewable Energy (CARE) at FAST (CFD Campus) is a comprehensive research centre focused on clean and renewable energy systems for residential, commercial and industrial applications. The lab comprises of three (03) researchers, engineers, graduates and support staff. We work closely with industry organizations in Pakistan and are actively involved in a number of projects of national significance with organizations such as United States Agency for International Development (USAID), Photovoltaic Reliability Laboratory (PRL), Ira A. Fulton Schools of Engineering, Arizona State University (ASU), U.S. Pakistan Center for Advanced Studies in Energy (USPCAS-E), State Key Laboratory of Advanced Electromagnetic (AEET), School of Electrical Engineering, Huazhong University of Science and Technology (HUST) and Higher Education Commission (HEC). The main research area of the lab include design, development and testing of microgrid solutions containing renewable energy sources.

5. Clean and Renewable Energy (CARE) Lab

· Encompassing energy policy, planning, and governance, energy history, socio-energy systems, social innovation in energy and energy access.

· Encompassing Renewable Energy, Clean Energy, Smart Grid and Energy Efficiency through design and consultancy services to the relevant industry of Pakistan.

· Establishing renewable energy resources based local energy solutions including cooling, heating and electricity.

International CollaborationsWe are actively collaborating with the researchers from renowned research organizations working on Hybrid Energy Solutions such as Caterpillar Inc., Arizona State University (ASU), Huazhong University of Science & Technology (HUST), and State Grid China.

Funded R & D Projects· Design and Development of

Intelligent Hybrid Controller for Extending Microgrid is a currently running project at the lab, which is an offshoot of international project Hybrid Energy Testbed for Remote Communities (integration of PV, Microhydro and Biomass generator) (2017-2018). The project was accomplished in joint collaboration of U.S. Pakistan Center for Advanced Studies in Energy (USPCAS-E) with Arizona State University (ASU), Oregon State University (OSU) and Directorate of Science and Technology (DOST), KPK. Project amount $ 140,000 was funded by United States Agency for International Development (USAID) and Rs 3.0 Million was funded by Directorate of Science and Technology (DOST), KPK.

Dr. Muhammad Shoaib Khalid, Associate Professor EE is head of the CARE research Lab.

Research Centres

FAST-NUCES12

Assistant ProfessorMr Adeel Ashraf

MS (CS), NUCES, Islamabad (2008)BS (CS), IIU, Islamabad (2006)

MS (CS), NUCES, Lahore (2015)

Ms Zain IqbalAssistant Professor

BSc (CS), UET, Lahore (2012)

Assistant ProfessorMS (EE), NUST, Rawalpindi (2015)

Ms Asra Ashraf

BE (TE), NUML, Islamabad (2013)

BS (CS), FUUAST, Islamabad (2012)MS (CS), NUCES, Islamabad (2016)

Mr Tayyeb JavedAssistant Professor

MSc (CS), Univ of Peshawar (2010)

LecturerMs Nasreen Akhtar

MS (CS), Univ of Agriculture, Peshawar (2016)

Mr Shoaib Saleem Lecturer MS (CS), NUCES, Islamabad (2016)BS (CS), NUCES, Islamabad (2012)

MS (CS), NUCES, Chiniot-Faisalabad (2017)

Ms Faryal Saud

BS (CS), NUCES, Islamabad (2013)

Lecturer

MS (CS), Univ of Agriculture, Faisalabad (2018)Lecturer

BS (CS), Riphah Int. Univ, Islamabad (2015)

Mr Asif Ameer

LecturerMS (CE) GIKI, Topi (2018)MCS (Algorithms), AWKUM, Mardan (2015)BSc (Networking), AWKUM, Mardan (2013)

Mr Muhammad Haris

Faculty-Chiniot-Faisalabad

Associate Professor & Head of DepartmentHEC approved PhD Supervisor

MS (CS), AIT, Thailand (2009)MSc (CS), Univ of Agri., Faisalabad (2006)

Dr Shahzad Sarfraz

BCS, Univ of the Punjab, Lahore (2004)

PhD (CS), AIT, Thailand (2012)

Dr Aftab Maroof

MSc (CS), Univ of Wales, UK (1992)

Professor & DirectorPhD (CS), Univ of Wales, UK (1996)

MSc (Statistics), PU, Lahore (1979)

PhD (Eng. Sci.), Technische Univ, Austria (2016)

Assistant Professor

BS (CS), CIIT, Abbottabad (2006)

Dr Usman Habib

HEC approved PhD Supervisor

MS (TE), Norwegian Univ Of Sci & Tech. (2010)

MS (CS), Univ of Bonn, Germany (2012)MS (CS), Univ of Agri., Faisalabad (2004)

Dr Hashim Yasin

PhD (CS), Univ of Bonn, Germany (2016)Assistant Professor

Assistant ProfessorPhD (CE), Hongik Univ, S Korea (2016)

BSc (CS), Univ of the Punjab, Lahore (2007)

MS (CS), IIU, Islamabad (2012)MSc (CS), BZU, Multan (2010)

Dr Asif Rehman

PhD (CSE) Dongguk Univ, Seoul (2017)MSc (CS) Univ, of Bradford, UK (2008)

Assistant ProfessorDr Bilal Khan

BSc (CS) Univ of Peshawar (2005)

PhD (SSC), Univ Politecnica de Madrid (2019)Assistant Professor

BS (CS), VU, Islamabad (2007)

Dr Irfan Ul Haq

MS (IT), NUST, Islamabad (2010)

PhD (CE), Kadir Has Univ, Turkey (2019)

Dr Danish ShehzadAssistant ProfessorHEC approved PhD Supervisor

MS (CS), Hazara Univ, Mansehra (2014)BS (TE), COMSATS, Abbottabad (2010)

Mr Rizwan Ul HaqAssistant Professor

BS (CS), NUCES, Lahore (2002)MS (CS), LUMS, Lahore (2005)

Department of Computer Science

FAST-NUCES 13

BS (CS), GCU, Faisalabad (2017)MPhil (CS), PUCIT, Lahore (2019)

Mr Muhammad HusnainLecturer

MS (CS), NUCES, Chiniot-Faisalabad (2020)

Mr Awais AzamInstructor

BS (CS), NUCES, Chiniot-Faisalabad (2016)

Mr Mughees IsmailInstructorBS (CS), NUCES, Islamabad (2016)

InstructorMS (CS), NUCES, Chiniot-Faisalabad (2019)

Mr Usman Ghous


Ms Sumaira MustafaInstructorBS (CS), NUCES, Islamabad (2017)

InstructorBS (CS), NUCES, Islamabad (2018)

Ms Aliza Saeed

Ms Saba NaseemInstructorBS (CS), Univ of Central Punjab, (2018)

LecturerMr Muhammad Suffian

BS (CS), Sukkur IBA Univ, Sukkur (2015)MS (CS), MAJU, Karachi (2018)

Mr Ebad MajeedLecturerMS (CI) Univ of Kent, UK (2018)BS (SE), Riphah Int Univ, Islamabad (2016)

Ms Saba GhaniLecturerMS (CS) NUCES, CFD (2018)BS (CS), LCWU, Lahore (2016)

MS (CS), NUCES, Chiniot-Faisalabad (2019)BS (CS), NUCES, Lahore (2013)

LecturerMr Saqib Hayat

Mr Mazhar HussainLecturer

BS (CS), NUCES, Peshawar (2015)MS (CS), NUCES, Chiniot-Faisalabad (2019)

Lecturer

BS (CS), Univ of Sargodha (2015)

Mr Muhammad Ali

MS (CS), PIEAS, Islamabad (2019)

LecturerMS (CS), NUCES, Chiniot-Faisalabad (2019)

Mr Muhammad Usman


Faculty-Chiniot-Faisalabad Department of Computer Science

FAST-NUCES14

MS (CS), NTU, Faisalabad (2016)BS (CS), NTU, Faisalabad (2014)

LecturerMr Tahir Farooq

LecturerMr Numan Shafi

BS (SE), Univ of the Punjab (2017)MPhil (CS), Univ of the Punjab (2019)

Lecturer

BS (SE), GCU, Faisalabad (2017)

Ms Tehreem Aslam

MS (CSE), NUST, Islamabad (2019)


Dr Khubaib Amjad

PhD (CSE), Univ of Malaysia (2018)Assistant Professor and Coordinator

BCS, VU, Lahore (2010)MS (CS), COMSATS, Wah (2013)

BS (CS), NUCES, Lahore (2004)MS (CS), LUMS, Lahore (2007)

Assistant ProfessorPhD (CS), LUMS, Lahore (2019)

Dr Affan Rauf

Assistant ProfessorMS (SE), UET Taxila (2015)BSc (SE), UET, Taxila (2013)

Ms Rida Ghafoor

Department of Software Engineering

FAST-NUCES 15

BS (EE), NUCES, Peshawar (2013)

LecturerMr Muhammad Adnan

MS (EE), COMSATS, Islamabad (2016)

Mr Muhammad AbdullahLecturer

BSc (EE), UET, Faisalabad (2013)MSc (EE), UET, Lahore (2017)

MS (ME), UET, Lahore (2018)Lecturer

BS (ME), UET, Taxila (2016)

Mr Ameer Hamza

BS (EE), UET, Lahore (2017)Lab EngineerMr Muhammad Arslan

BS (EE), NUCES, Lahore (2017)

Mr Umer FarooqLab Engineer

Lab EngineerMr Kashif Amjad

BS (EE), UET, Lahore (2018)

Mr Mujahid HussainLab EngineerBS (EE), UET, Lahore (2018)

Lab EngineerBS (EE), NUCES, Chiniot Faisalabad (2018)

Mr Rohan Ahmed

Lab EngineerMr Soban Ahmed

BS (EE), NUCES, Chiniot Faisalabad (2018)

Dr Gufran KhanAssociate Professor & Head of DepartmentHEC approved PhD SupervisorPhD (EE), Blekinge Inst. of Tech., Sweden (2011)MSc (EE), Blekinge Inst. of Tech., Sweden (2005)BSc (EE), UET, Lahore (2003)

MS (EE), Univ of Texas, USA (1991)

Professor Dr Ali Mohsin

BSc (EE), UET, Lahore (1986)

HEC approved PhD SupervisorPhD (EE), UET, Lahore (2008)

BE (EE), NED UET, Karachi (2001)

Dr Shoaib KhalidAssociate ProfessorHEC approved PhD SupervisorPhD (EE), Huazhong Univ of S &T, China (2015)MS (EE), Hanyang Univ, Korea, (2010)MSc (Engg. MG), UET, Taxila (2005)

Dr Adil ZulfiqarAssistant ProfessorPhD (EE), City Univ, Hong Kong (2018)

BS (EE), Government College Univ, Lahore (2011)MS (EE), GIKI, Topi (2014)

Assistant ProfessorMS (EE), Hanyang Univ, South Korea (2011)

Mr Waqar Baig

BS (EE), BZU, Multan (2007)

Mr Irfan IshaqAssistant Professor

BS (EE), NUST, Islamabad (2009)MS (EE), Linnaeus Univ, Sweden (2012)

Mr Amir Zahoor

MSc (EE), Blekinge Inst. of Tech., Sweden (2013)BSc (TE), GCU, Faisalabad (2009)

Assistant Professor

MS (EE), KFUPM, Saudi Arabia (2015)BS (EE), NUCES, Karachi (2011)

LecturerMr Sajid Iqbal

Faculty-Chiniot-Faisalabad Department of Electrical Engineering

FAST-NUCES16

Dr Arsalan Ahmed

PhD (EE), UET, Lahore (2020)

MBA, VU, Islamabad (2014)

Assistant Professor


MSc (Cont. Systems), UET, Lahore (2015)

Mr Faizan AhmadLab EngineerBS (EE), NUCES, Chiniot Faisalabad (2019)


Lab EngineerMr Umair Ikram

BS (EE), NUCES, Chiniot Faisalabad (2018)

Department of Electrical Engineering

FAST-NUCES 17

An indigenous wind turbine made by students

MSc (Finance), Umea Univ, Sweden (2012)MSc (MG), Umea Univ, Sweden (2015)Lecturer

MBA (Finance), Univ of Peshawar (2008)

Mr Ahmed Hassan

Mr Zeeshan Raza

MBA (Finance), GCU, Faisalabad (2009)

LecturerMBA, NUCES Chiniot Faisalabad (2017)

BBA, NUCES, Lahore (2012)

Mr Mureed AhmedLecturerMBA, NUCES, Lahore (2017)

LecturerMr Javed Iqbal

M.Com, Univ of the Punjab, (2012)B. Com Hons, Univ of the Punjab (2010)

Mr Muhammad NasifInstructorMS (MS), Air Univ, Islamabad (2016)M.Com (Finance), Islamia Univ, Bahwalpur (2010)

Assistant Professor & InchargeMS (Marketing), UET, Lahore (2012)MBA (Marketing), UCP, Lahore (2008)

Mr Zeeshan Haider

MBA, Riphah Int Univ, Islamabad (2013)

Assistant ProfessorPhD (MG), Univ of Malaya, Kuala Lumpur (2017)

Dr Munazza Saeed

Dr Saif MaqboolAssistant ProfessorPhD (MAS), Univ of Udine, Italy (2017)

BBA, The Superior College, Lahore (2007)MSc (Bus. Adm.), Univ of Rome (2013)

Assistant ProfessorMr Gulfam Haider

MSc (Economics), GCU, Faisalabad (2006)MPhil (Econometrics), IIU, Islamabad (2012)

Mr Umar FarooqAssistant ProfessorMBA, Univ of the Punjab, Lahore (2011)BBA, Univ of the Punjab, Lahore (2009)

Faculty-Chiniot-Faisalabad FAST School of Management

FAST-NUCES18

LecturerMS (Math), GCU, Faisalabad (2017)

Ms Bushra Niaz

MSc (Math), GCU, Faisalabad (2013)


Mr Nouman IftikharAssistant Professor & InchargeMBA, Abu Dhabi Univ, UAE (2010)MA (English), BZU, Multan (2001)

MPhil (Pak. Std), QAU, Islamabad (2017)BA (Hons) (History), GCU, Lahore (2015)

Mr Muhammad LaraibLecturer

Dr Mushtaq Ahmad

MS (Math), NUCES, Lahore (2011)

Assistant ProfessorPhD (Math), NUCES, Lahore (2019)

MSc (Math), Univ of the Punjab, Lahore (2008)

BS (Math), GCU, Faisalabad (2015)MS (Math), COMSATS, Islamabad (2017)

Mr Waqas JavedLecturerAssistant Professor

BS (Math), Univ of the Punjab, Lahore (2007)

Mr Arfan Shahzad

MS (Math), NUCES, Lahore (2009)

Lecturer

BA, Islamia Univ, Bahawalpur (2007)

MPhil (English), Islamia Univ, Bahawalpur (2018)

Mr Muhammad Ammar

MA (English), Islamia Univ, Bahawalpur (2012)

Mr Amjad Hussain

MSc (Math), QAU, Islamabad (2007)

Assistant ProfessorMPhil (Math), QAU, Islamabad (2009)

MA (Eng Lang & Lit), NUML, Faisalabad (2013)

Ms Sadia AshfaqLecturerMPhil (English), FC College, Lahore (2018)

Ms Munaza Akhter

MS (English), IIU, Islamabad (2012)MA (Eng. Lang & Lit), IIU, Islamabad (2009)

Assistant Professor

MSc (Math), GCU, Faisalabad (2015)

LecturerMr Hayat Ali

MS (Math), COMSATS, Islamabad (2018)MS (Math), NUST, Islamabad (2016)Lecturer

BS (Math), NUST, Islamabad (2014)

Ms Ghilmana Sarmad

BS (Hons) (English), Univ. of Sargodha (2016)

Ms Aqsa TahirLecturerMS (TESOL), LCWU, Lahore (2018)

Mr Haris KhurramLecturerMPhil (Statistics), BZU, Multan (2016)MSc (Statistics), BZU, Multan (2014)

BS (Physics), COMSATS, Lahore (2016)

Mr Waheed AhmadLecturerMS (Astrophysics), Innsbruck Univ, Austria (2018)

Ms Aisha BanoLecturerMPhil (Psychol.), Hazara Univ, Mansehra (2017)MSc (Psychol.), Univ of the Punjab, Lahore (2005)

Mr Junaid ShahidLecturerMPhil (Eng), Riphah Int Univ, Islamabad (2019)BS (Applied Ling.), GCU, Faisalabad (2015)

MPhil (English), GCU, Faisalabad (2017)Lecturer

BA Hons. (English), GCU, Faisalabad (2012)

Ms Farah Iqbal

Department of Sciences & Humanities

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MA (English), GCU, Faisalabad (2006)InstructorMr Akbar Ali

Faculty-Chiniot-Faisalabad Department of Sciences & Humanities

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The Islamabad campus is located along the Kashmir Highway. It presents a striking view of the picturesque capital city known for its beauty and tranquillity. The campus being located in an exquisite locale bequeaths a sight of the city that is captivating and delightful. A majestic banyan tree stands with grandiose at the entrance. It captures the fancy of the visitor, before s(he) can admire and appreciate the academic décor of the campus. The campus expands over 15-acres of land and is located right in the academic hub of the city. The covered area of the campus is steadily expanding and its study programs are continually evolving.

The campus has highly qualified, fully committed and professionally stimulated faculty which brings academic excellence to the university. The faculty possesses excellence in teaching competence, along with being fully synchronized and geared up, to instruct and embrace the up-to-date progress and developments in science and technology. The faculty excels in their domain; being accomplished researchers, contributors and developers in their fields of endeavour. The scope of research carried out at the campus spans Intelligent Networks, Software Testing, Software Engineering, Machine Intelligence, Image Processing, Neural Networks Embedded Systems, RF Systems and Control Systems

Undergraduate programs are offered in Computer Science, Electrical Engineering, Business Administration and Accounting & Finance. In

In order to contribute to the physical fitness of students and assist them in unwinding, the campus extends sports facilities in both indoor and outdoor games like cricket, football, badminton, table tennis, volleyball and chess. Besides sports, healthy competitions in programming are also arranged and are a source of both mental stimulation as well as fun for students. NASCON, a national level competition for the students organized by the campus is highly appreciated by the industry and the educational institutions all over the country.

The campus provides state of the art facilities in academic as well as extra-curricular activities. Spacious and well-equipped computer and engineering labs impart practical orientation to the students in their respective areas of study. Audio-visually supported and well-furnished class rooms offer a favourable and constructive learning environment to the students.

addition, the campus offers MS and PhD programs in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Computer Networks & Security, Electrical Engineering and Management Sciences. Graduates of this campus are well-received by the industry and hold prominent positions in many national and multinational corporations. A large number of university alumni are serving in prestigious institutions and organizations across the world like Microsoft, Google, Amazon, Oracle, NCR, LMKR, IBM, Telenor and Huawei.

DirectorDr Waseem IkramProfessor & Director

MSc (EE), UMIST, UK (1987)PhD (EE), UMIST, UK (1990)

Bsc (EE), UET, Peshawar (1984)

Islamabad Campus

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Islamabad campus offers the following degree programs:

BBA

BS (Accounting & Finance)

BS (Computer Science)

BS (Artificial Intelligence)

BS (Cyber Security and Digital Forensics)

BS (Data Science)

BS (Software Engineering)

BS (Electrical Engineering)

MBA

MS (Artificial Intelligence)

MS (Computer Science)

MS (Data Science)

MS (Computer Networks & Security)

MS (Electrical Engineering)

MS (Management Sciences)

MS (Software Engineering)

PhD (Computer Science)

PhD (Electrical Engineering)

PhD (Management Sciences)

PhD (Software Engineering)

quest lab

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Research Centres

Islamabad Campus

The lab offers support to industry to novel R&D projects, capacity building,

Quest lab is one of the leading research and development setups in Pakistan in the area of software systems and engineering. The lab comprises of ~40 full time researchers, engineers, graduate and PhD students and support staff. The lab works closely with industrial organizations in Pakistan and is actively involved in a number of projects of national significance with organizations such as Pakistan Aeronautical Complex, Kamra, Aviation design institute, Pakistan Airforce, NESCOM, Pakistan Seed Registration Authority, and other large-scale industry partners from both government and private sector.

The lab targets design and development of solutions targeting real industrial problems.

Areas of Expertise

· Command and Control Systems· Software Systems for Avionics,

Radars, and Unmanned Vehicles (UGV, UAV)

· Applications of Data Science, Artificial Intelligence, and Machine Learning in Industrial Automation & Robotics

· DevOps and Automated Software Engineering Software Systems Testing and Quality Assurance

Partners & Collaborations

· National Engineering and Scientific Commission (NESCOM)

· Simula Research Lab, Norway· Beihang University of Aeronautics

and Astronautics· Open University, UK

· Pakistan Aeronautical Complex, Kamra

· Software Testing Foundation & Pakistan Software Testing Board

· Medical Transcription and Billing Company (MTBC)

· Special Task Group, Pakistan Air Force

and hands on consultancies. Over the years Quest lab has raised over 150 Million PKR in various government and industrial/private sector funds.

Quest Lab is working on a number of projects of national significance

quest lab

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The project targets the development of autopilot for unmanned vehicles that is compliant to Future Airborne Capability Environment Technical Standard. FACE™ is a reference standard for avionics software that provides increased modularity and portability.

FACE™ compliant Autopilot

The project focuses on research and development of a Command and Control System for Air Traffic Monitoring and Control Radar systems.

Quest lab has received research funding of over Rs. 150 Million in last few years

Funding Amount: PKR 5 Million

Funding Agency: Aviation Design Institute (AvDI)

Funding Agency: Aviation Research Indigenization and Development (AvRID)Funding Amount: PKR 2 Million

Automated Generation and Conformance Testing of Mobile Applications Lab offers several MS and PhD Scholarships every yearThe project received the funding from Ignite national technology fund to conduct research on automated strategies for generation of mobile application variants using software product lines. The project works in close collaboration with local software companies and international research partners.

Lab offers several MS and PhD Scholarships every year

Funding Agency: Ignite – National Technology FundFunding Amount: PKR 26 Million

An Integrated Toolset for Automated Model-based Testing for Industry Scale SystemsThe project aims to develop novel techniques for automated model based testing of software applications. The project is in collaboration with Simula Labs, Norway

Funding Agency: Ignite – National Technology FundFunding Amount: PKR 15 Million PKR

Assessment of ARINC A653 Real Time Operating Systems for AvionicsThe project targets the benchmarking and assessment of compliance of various Real-time operating systems with the ARINC 653 standard and their suitability for porting of operational flight program (OFP) software.

Projects

Radar Command and Control System

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Research Centres

The project involves research and development of an electronic autonomous ground vehicle. The vehicle will allow autonomous navigation using way-points, obstacle avoidance using image and Lidar sensors.

Play ToTest

The project targets automated generation and execution of test cases for platform games based on models. The execution engine uses guided reinforcement learning to identify the various obstacles and play the game as a realistic human player. The project has several applications to replace human in the testing loop.

Chess Master Robot

The project focuses on demonstration of precise movement and control of robotic arm based on processing live video feeds using advance machine learning and artificial intelligence techniques. The project has several application in industrial automation. The robotic arm in the demonstration is used to play chess with a human competitor in a realistic environment.The project focuses on research of

strategies for real-time automated detection, classification and tracking of objects using live video feeds. The project has several application areas, including traffic management, crowd control, search and rescue systems.

Automated Exploratory Testing

The project targets the automation of exploratory testing using machine learning. Exploratory testing is one of the widely used testing strategies in the industry. The research involves training the machine learning model based on data set obtain from testers in industry.

Autonomous Ground Vehicle

Automated Detection and Tracking of

Ground and Aerial Objects

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Research Publications (2019 - 2020)

· M. Z. Iqbal, H. Sartaj, M. U. Khan, F. Ul Haq, and I. Qaisar, “A model-based testing approach for cockpit display systems of avionics,” in 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems (MODELS), pp. 67–77, 2019 (CORE Ranked A Conference)

Computers, vol. 112, pp. 135 – 184, 2019 (Impact Factor: 1.51)

· H. Sartaj, M. Z. Iqbal, M. U. Khan, “CDST: A Toolkit for Testing Cockpit Display Systems of Avionics”, in IEEE International Conference on Software Testing, (ICST) 2020, (CORE Ranked A Conference)

conducting high impact applied research and published in high quality international venues

· M. U. Khan, H. Sartaj, M. Z. Iqbal, and N. Arshad, “Aspectocl: using aspects to ease maintenance of evolving constraint specification,” Empirical Software Engineering, vol. 24, p. 2674?2724, 2019 (Impact Factor: 4.57)

· A. A. Jilani, M. Z. Iqbal, M. U. Khan, and M. Usman, “Advances in applications of object constraint language for software engineering,” Advances in

· M. U. Khan, S. Sherin, M. Z. Iqbal, and R. Zahid, “Landscaping systematic mapping studies in software engineering: A tertiary study,” Journal of Systems and Software, vol. 149, pp. 396 – 436, 2019 (Impact Factor: 2.56)

· With the goal of 'Innovation through Research”, Quest Lab is

· M. Usman, M. Z. Iqbal, and M. U. Khan, “An automated model-based approach for unit-level performance test generation of mobile applications,” Journal of Software: Evolution and Process, vol. 32, no. 1, 2020 (Impact Factor: 1.305)

· J. Imtiaz, S. Sherin, M. Z. Iqbal, and M. U. Khan, “A systematic literature review of test breakage prevention and repair techniques,” Information and Software Technology, vol. 113, pp. 1–19, 2019 (Impact Factor: 2.92)

With the goal of 'Innovation through Research”, Quest Lab is conducting high impact applied research and published in high quality international venues

questlab.pk

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Research Centres

UAV Dependability Lab targeting the dependable development of Unmanned Aerial Systems (UAS) is part of the National Center for Robotics and Automation (NCRA) and was established in 2019. The lab is recipient of a funding of ~PKR 100 Million from the Higher Education Commission under NCRA project.

Area of Expertise

· Architecture and Design of Avionics for UAS

· Development of UAS systems

· Autopilots for unmanned vehicles

· Applications of Data Science, Machine Learning, Image, Text and Video Processing Strategies for Unmanned vehicles

· Cyber Physical Systems

· Automated strategies of Software-in-the-loop testing of UAS systems

· Automated testing strategies for Hardware-in-the-loop testing of UAS Systems


· Open University, UK

· Other labs at National Center for Robotics and Automation

· Aviation Design Institute, Pakistan Aeronautical Complex, Kama

· Nanjing University of Aeronautics and Astronautics

The lab works closely with our industrial and academic partners and playing an important role in indigenous development of dependable avionics systems. The lab has a speciality of working in the area of autonomous systems and utilizes the state-of-the art strategies, including data science, machine learning, digital twins, for development of reliable and dependable unmanned vehicles.

UAV Dependability Lab

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Research Centres

1. STANAG 4586 Ground Control Station: The project focuses on development of standardized common ground control system for civil and military autonomous aerial vehicles, capable of simultaneous control of heterogeneous autonomous aircraft. The project is being conducted in close collaboration with Aviation Design Institute and is funded by Pakistan Aeronautical Complex, Kamra.

2 Rig for Hardware-in-the-loop testing of avionics of Unmanned Aerial Systems. The HiL is used to test the various avionics systems integrated with their hardware. The strategy for automated testing at HiL targets the identification of important scenarios for HiL testing based on Digital twin of the UAV

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Research Centres

3 The Software-in-the-loop testing Rig of Cockpit Display Systems allows automated test generation, test execution, test comparison and automated generation of expected results for Cockpit Display Systems of Aircrafts and Ground Control Stations of Unmanned Aerial Vehicless

4. Dr. Zohaib Iqbal, Project Director of the UAV Dependability lab explaining the work on UAV HiL Testing to Prof. Zhi Jin of Peking University during her visit to the lab (December 2019)

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Center for Computational Biology & Health Informatics (C2BHI) brings together bioinformaticians, computational biologist and computer scientists who focus on biomedical discoveries through computational modelling. The Center currently hosts the Computational Biology Research Lab (CBRL) at the Islamabad Campus. CBRL uses computer science algorithms to solve biology related problems. CBRL works in the areas of algorithm development, genomics, characterization of protein-protein interactions, characterization of protein-drug interactions, pharmacovigilance, protein function prediction and disease identification using various imaging techniques. The lab comprises of ~25 full time researchers, engineers, MS & PhD

Center for Computational Biology & Health Informatics (C2BHI)

CBRL is working on a number of projects related to human health and well being

· Algorithm development

· Applications of Computer Vision in disease identification

· Applications of Data Science and Artificial Intelligence in biology and medicine

· Genomics, Proteomics & Bioinformatics

· Protein-protein and protein-drug interactions

students and support staff. The lab works closely with hospitals in Pakistan and is actively involved in a number of projects of national significance. The lab has raised over 32 Million PKR in research grants.

Areas of Expertise

· Tissue Image Analytics Lab, University of Warwick

· Molecular and Systems Computational Bioengineering Lab, University of Illinois at Chicago

· Structural and Functional Bioinformatics Group, KAUST

· Biophysics Group, University of Stuttgart

· Department of Biology, Lahore University Management Sciences

· Rehman Medical Institute, Peshawar


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Research Centres

The project targets the development of a Virtual Reality (VR) based platform where users can see the interactions between a drug and a protein in 3D. This helps in designing new drugs faster than traditional automated docking based systems.

Projects

VR Based Drug Design

The Precision Medicine Lab is a first of its kind cross-disciplinary effort in Pakistan that allows data analysts and deep learning experts to work very closely with biologists, geneticists and clinicians. The Lab aims to produce novel software tools that will help in side-effects prediction of drugs, drug repurposing that may lead to drug discovery for challenging and traditionally neglected diseases (like Dengue, Tuberculosis, Hepatitis, etc.) and literature mining to help oncologists.

CBRL has received research funding of over Rs. 32 Million in last two years

Precision Medicine Lab

CBRL has received research funding of over Rs. 32 Million in last two years

Funding Amount: PKR 32 Million

Funding Agency: Higher Education Commission of Pakistan, Ministry of Planning and Reforms

Early detection of cancer is important to improve the patient survival rate. This project targets developing state-of-the-art deep learning models to classify breast cancer in four classes, Normal, Benign, InSitu Carcinoma and Invasive Carcinoma.

Breast Cancer Diagnosis from

Histopathology Images using Deep

Learning The project aims to develop novel deep learning techniques to predict the function of enzymes up to 4th level of the Enzyme Classification number. This is a t raditional Computer Science Hierarchical Classification Problem. This can ensure discovery of cheaper enzymes being used in the poultry, textile and food industry.

Predicting Enzyme Function from

Sequence using Deep Learning

This project involves designing algorithms to find conserved regions between protein-protein interaction networks of a pair of species. Such algorithms help in progressing the understanding of biological systems and in drug design.

Global Protein-Protein Interaction

Network Alignment

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1. Thomas Bausewein, Hammad Naveed, Jie Liang, Stephan Nussberger, The structure of the TOM core complex in the mitochondrial outer membrane. Biological Chemistry, 2020, In press. (Impact Factor: 3.014)

2. Hammad Naveed*, Corinna Reglin, Thomas Schubert, Xin Gao, Stefan T. Arold, Michael L. Maitland. Identifying novel targets by using drug-binding site signature: a case study of kinase inhibitors. Genomics, Proteomics & Bioinformatics, In press. *Corresponding Author. (Impact Factor: 6.597)

3. CBRL is conducting high impact research and publishing in high quality international venues

3. Wei Tian, Hammad Naveed, Meishan Lin and Jie Liang. GeTFEP: A general transfer free energy profile of transmembrane proteins. Protein Science, 2020, 29 (2): 469-79. (Impact Factor: 2.42)

5. Wei Tian, Meishan Lin, Ke Tang, Jie Liang and Hammad Naveed. Towards high resolution structure prediction of β-barrel membrane proteins. Proceedings of the National Academy Sciences USA, 2018, 115 (7): 1511-1516 (Impact Factor: 9.58)

4. H. Farooq and H. Naveed, "GPADRlex: Grouped Phrasal Adverse Drug Reaction lexicon," 2019 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), Dalian, China, 2019, pp. 1-6.

CBRL is conducting high impact research and publishing in high quality international venues

3. AI in biological Big Data. Keynote

1. Learning to Diagnose Cancer at the Digital Health Conference 2020 at King Abdullah University of Science & Technology, Saudia Arabia on 20-22th January 2020.

2. Big Data in Biology and Medicine. Seminar at Rehman Medical Institute (CECOS University), Peshawar. 17th October 2019.

Invited Talks (2018 - 2020)

Lab Home Page:

Researchers at Center for Computational Biology & Health Informatics (C2BHI)

Research Publications (2018 - 2020)

speaker at the Pakistan.AI Islamabad Chapter launch event. 14th June 2019.

4. The era of computation in biology. International Symposium on Advances in Computer & Information Sciences (ISACIS' 18), Pakistan Institute of Engineering & Applied Sciences, 17th October 2018.

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cbrlab.org

Research Centres

Radio Frequency Circuits, Sensors, and Systems Lab (RFCS2) is established to create a culture of innovation and then put the innovation into industrial practice as a final step. The primary focus of the LAB is to provide the students and engineers with the tools and environment which promotes the creation of new knowledge and innovation. The lab has several high impact IEEE journal papers and US patents to its credit. RFCS2 lab is equipped with all basic tools like RF sources, Spectrum and Vector Network Analyzer (VNA) and PCB milling machine. The researcher in RFCS2 are well trained to carryout world class research and innovation to meet the industry needs. The RFCS2 lab has developed local and international academic and industrial collaboration, in order to provide feasible, real-time and cost-effective industrial solutions.

Radio Frequency Circuits, Sensors, and Systems Lab (RFCS2)

· INNEXIV, Pakistan · Pakistan Aeronautical Complex,

Kamra· NRTC. Haripure· National Engineering and

Scientific Commission (NESCOM)

Areas of Expertise:

· Ultra-Low Power Bio Medical Sensors

· Self-Powered Energy Harvesting

· RF Circuit and System Design

· GHz Energy Tunnelling and its Applications

· RFCS2 is working on several projects to promote the culture of Innovation to final product design.

· IoT Devices and Sensors

· Microwave Sensors and Systems

RFCS2 is working on several projects to promote the culture of Innovation to final product design.

Local Partners & Collaborations:

· United Arab Emirates University, UAE

· Taibah University, Medina, Saudi Arabia

· University of Waterloo, Canada

· Grand Electronics, China

International Partners &

Collaborations:

All Electronic Fuel Impurity Sensor is based on the recently reported phenomena of energy tunneling. Therefore, the basic idea behind contamination detection is unique and new. The proposed sensor is low power, rugged, simple and highly sensitive; it can detect a minor change in the dielectric constant of the fuel. The operational power requirements of the sensor are extremely low. Self-calibrated is needed to tackle the effect of temperature variations.

Recent Projects:

High-Frequency Dielectric Sensor is based on a new class of Microwave Energy Tunneling-Based Dielectric sensor for solid and liquid sample. These types of sensors can detect minor variation in the dielectric constant, and they are highly scalable, accurate and low cost and have the application in bio-sensing and medical industry.

Plant Water & Moisture Sensor works on the phenomenon of phase dispersion. This is accurate and stable in noisy environments, work for real leaf and foliage samples. The technique is very simple yet very effective, it detects the permittivity of water inside the sample. The proposed sensors are self-powered and more sensitive and stable compared to the sensors available in the market sensors. These sensors have a huge market in agriculture related autonomous irrigation systems

Power Amplifier The group is involved in the PAs design for the industrial application meeting the tough temperature and environmental requirement. Recently, we designed the 100W 1.2 to 1.6GHz Class-E PA for industrial applications. We have also done Class-AB PAs for L & S band for linear applications including the pre-driver, power supply and OV, OC, and OT protections circuits.

RFCS2 has highly competent and experienced team of researcher and engineers

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Research Centres

· Abdul Wajid, Graduate Student

· Haider Ali, Graduate Student

· Prof. Dr. Rashad Ramzan, Director · RFCS2 has highly competent and

experienced team of researcher and engineers.

· Mr. Muhammad Omar, Sr. Design Engineer

· Abdul Jabbar, RF Design Engineer· Engr. Sidera , Ph.D Student

· Hamza Attique, Graduate Student

Team Members:

3. With the goal of 'Innovation through Research”, RFCS2 is conducting high impact applied research and published in high quality international venues

2. R. Ramzan, et al., “Microstrip Fano Resonator Switch” Patent No 10186744; Granted 22 Jan, 2019, US Patent Office.

3. R. Ramzan, et al.,, “Temperature Monitoring of Subject Bodies using Wireless Energy Transfer” ” Patent No: 10222270, Granted

1. R. Ramzan, et al., “Microstrip Circuits Exhibiting Electromagnetically Induced Transparency and Fano Resonance” Patent No: 10186743; Granted 22 Jan, 2019, US Patent Office.

Granted USA Patents:

With the goal of 'Innovation through Research”, RFCS2 is conducting high impact applied research and published in high quality international venues

1. R. Ramzan, M.Omar, O.Siddiqui. M. Amin, N. Bastaki and T. Ksiksi, “Electromagnetically Induced Absorption in the Near-Field of Microwave Radiative Elements with Application to Foliage Moisture Sensing” doi: 10.1109/ACCESS.2018.2884224 , IEEE Access (JCR IF 3.557)

2. R. Ramzan, Muhammad Omar, and Omar Siddiqui. “A Review of

Selected Journal Publications:

Lab Home Page:

6. R. Ramzan, et al, “Plant Water Sensor” Patent No 10605746; 31 March, 2020, US Patent Office.

March 05, 2019, US Patent Office. 4. R. Ramzan, et al.,, “Fuel Quality

Sensor” Patent No: 10281423, Granted May 07, 2019, US Patent Office

5. R. Ramzan, et al.,, “Dielectric Constant Detection Method and Device Using Anomalous Phase Dispersion” Patent No: 10309909, Granted June 04, 2019, US Patent Office

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http://isb.nu.edu.pk/rfcs2

3. Omar Siddiqui, R. Ramzan, “Lorentz Reflect-Phase Detector for Dielectric and Moisture Sensing" IEEE Sensors Journal, DOI: 10.1109/JSEN.2018.2869401. Vol.18, Issue 22, Page. 9236-9242, 15 Nov, 2018. (JCR IF 2.617)

the Energy-Tunneling Based Sensors." IEEE Microwave Magazine, 1527-3342/19c2019IEEE, Nov, 2019. (JCR IF 3.02)

4. M. Amin, R. Ramzan, O. Siddiqui, “Slow Wave Applications of Electromagnetically Induced Transparency in Microstrip Resonator”, Nature Scientific Reports, doi:10.1038/s41598-018-24177-6, Report No: 6129, 05 February 2018, (JCR IF 5.28)

5. S. Arshad, R. Ramzan “50–830MHz Noise and Distortion Canceling CMOS Low Noise Amplifier", ELSVIER Integration, The VLSI J o u r n a l , D O I : 10.1016/j.vlsi.2017.07.006, Vol.60, pp. 63-73, 01 January 2018. (JCR IF 0.97)

Islamabad Campus

Researchers at the Artificial Intelligence and Machine Learning Lab are constantly working on developing intelligent solutions that can understand language and emotion, mining actionable information from social media, develop nature-inspired algorithms for data classification and clustering, detect activities from enormous amounts of data being generated by IoT devices, sustainable computation and generation of game scenarios for intelligent automation of game production. However, this is just the start; as artificial intelligence innovation propels the AI revolution sustainable development and machine learning will have a profound impact on all aspects of our lives including governance, medicine, education and transportation and this will affect everyone everywhere.

At AIM Lab, we aspire to produce AI solutions that aim to solve contemporary problems in Pakistan and abroad, in collaboration with the industry. We continue to produce quality research and trained individuals who have developed the expertise and have the potential to form the core of the AI revolution in Pakistan in years to come.

Artificial Intelligence and Machine Learning (AIM) Lab

2. Dr Waseem Shahzad, Prof.3. Dr Hammad Majeed, Associate

Prof.4. Dr Hasan Mujtaba, Associate Prof.

Following faculty members are part of this lab;1. Dr Mirza Omer Beg, Associate Prof.

& Head of the research group

Members

Secure Networks and Distributed Systems (SENDS) LabThe objective of SEcure Networks and Distributed Systems (SENDS) research group is to explore and provide innovative and secure solutions in the rich field of distributed computing. Our team focuses on investigation, design and development of scalable, secure and efficient systems, environments, and algorithms for the delivery of services to the end user in a distributed environment. Our research group is working in various related domains such as Information Security and Privacy, Cloud and Internet of Things, Blockchain and Cryptocurrencies, Network Security, Computer Forensics, Performance Modeling, High-Performance Parallel Computing, SDN, Ubiquitous and Pervasive Computing, Formal Methods and Trust management in Distributed Systems.

International Collaborations

Following faculty members are part of this lab;1. Dr Muhammad Asim, Associate

Prof. & Head of the research lab2. Dr Kashif Munir, Associate Prof.

4. Dr Adnan Tariq, Assistant Prof.5. Mr Jawad Hassan, Assistant Prof.6. Ms Uzma Bibi, Lecturer7. Mr Ahmed Nawaz Khan, Lecturer

3. Dr Ehtesham Zahoor, Assistant Prof.

Members

The SENDS lab is actively collaborating with international researchers.

Lab URL: https://sites.google.com/view/sendslab/

Lab Home Page: http://isb.nu.edu.pk/aim/

7. Mr Saad Salman, Lecturer8. Mr Hassan Raza, Lecturer

5. Dr Omer Ishaq, Assistant Prof.6. Mr Umair Arshad, Lecturer

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FDS Lab specializes in the areas of Data Science, Big Data, Social Networks Analysis, Artificial Intelligence, Machine Learning, Deep Learning, Image Processing, Data Warehousing, Data Mining, Data Visualization, and Visual Analytics. It provides opportunities to work on state of the art and cutting edge research in aforementioned domains. We perform rigorous efforts on identifying and solving algorithmic challenges for various applications/ datasets like social networks, images and videos, large scaled databases, health informatics, and so on.

Fast Data Science (FDS) Lab

International CollaborationsThe lab is in research collaboration with various international and national research organizations.

· “Smart Navigation with Intelligence for Visually Impaired People”, March, 2019 – September, 2020. Source of Funding: Islamic University of Madina, Saudi Arabia.

· “Discovery of Research Collaborators and Potential Reviewers through Visual Graph Summarization”, May, 2019 – January, 2020. Source of Funding: Islamic University of Madina, Saudi Arabia.

Current Projects

4. Dr Omer Ishaq, Assistant Prof.3. Dr Ejaz Ahmed, Associate Prof.

Following faculty members are part of this lab;

1. Dr Kifayat Ullah Khan Alizai, Associate Prof. & Head of the research lab

2. Dr Asif Naeem, Prof.

7. Dr Faisal Cheema, Assistant Prof

5. Dr Labiba Fahad, Assistant Prof.6. Dr Shujaat Hussain, Assistant

Prof.

Members

Home Page: http://isb.nu.edu.pk/fdslab/index.html

ReVeaL is a research group that focuses on applied research in Visual Recognition, Computer Vision and Machine Learning for solving real-world large-scale complex problems. In ReVeaL, the goal is to conceive, design and develop recognition systems that can recognize and understand the content of an image (or video) and then make informed decisions or recommendations. Building such systems not only demands solutions for complex recognition and inference problems but also requires answers to challenging computational questions. The research areas include computer vision, visual recognition, deep learning, and applied image processing.

ReVeaL (Recognition, Vision and Learning) Lab

1. Dr Sibt ul Hussain, Assistant Prof. and Head of the research lab

2. Dr Omer Ishaq, Assistant Prof. 3. Mr Shoaib Mehboob, Lecturer


Members

Home Page: http://isb.nu.edu.pk/fdslab/index.html

The Software Engineering and Automation Lab (SEAL) focuses on development and engineering of software intensive automated systems. Automation engineering involves software systems and the duo is attracting audience across the globe. The need of developing secure and fault-tolerant automation systems using basic and advanced software engineering principles is the need of the hour. The SEAL researchers aim to develop resilient automation systems using software engineering principles and to solve software engineering problems using multiple out of the box options like

Software Engineering and Automation (SEAL) Lab

· To develop and validate new strategies for development of software intensive automation systems.

· To collaborate with national and international research fraternity and industry practitioners to publish high quality research.

· To solve the software engineering problems using modern out of the box methods.

The core objectives of SEAL are:

SEAL is involved in internationally funded projects in collaboration with Human Interaction lab, University of Malaya, Malaysia, GILT - Games, Interaction and Learning Technologies Lab, Portugal, Centre for Telematics and Information Technology (CTIT), Netherlands and other partner organisations through European Commission.

International Collaborations

2. Real-time Implementation of Adaptive Motion Drive Algorithm for 6DOF Motion Simulator, Government of Pakistan.

3. Use of VR Technology for Development of Cost Effective Vehicle Training Simulators, Government of Pakistan.

1. Active Learning in Engineering Education, European Commission

Current Projects

Islamabad Campus

artificial intelligence and machine learning. For this purpose we closely work with national and international collaborators from industry and academia. We have keen interest in devising modern methods for teaching and learning. For this purpose, we have established a Problem-Based Learning Lab in Islamabad campus of NUCES in collaboration with European Commission. This is state-of-the-art and one of its kind classroom of the future for learning and experimentation in computer science and engineering domains.

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2. Ms Sidra Khalid, Assistant Prof.


1. Dr Irum Inayat, Associate Prof. and Head of the research lab

3. Mr Shehreyar Rashid, Lecturer

Members

The research areas include mobile augmented & virtual reality applications, user-centric design & usability Engineering, and Mobile learning applications.

Intelligent and interactive eXperience design (IeX) Lab

1. Dr Amna Basharat, Assistant Prof. & Head of the research lab

4. Ms Saba Rasheed Malik, Assistant Prof.

2. Dr Asma Ahmad, Assistant Prof.


3. Ms Noor ul Ain, Assistant Prof.

Members

The purview of Parallel Computing and Networks research group (PCN) includes various related aspects such as parallel & distributed computing, IP, wireless, and ad-hoc networks. Additionally, the research group has extended its scope to temporal information retrieval, social network analysis, and online privacy issues.

Parallel Computing and Networks (PCN) Lab

International CollaborationsPCN has an active collaboration with Distributed and Parallel Systems (DPS) research group at University of Klagenfurt, Austria since 2018. This collaboration is financed by the OeAD-GmbH/ICM on behalf of the Federal Ministry of Science, Research and Economics – BMWFW, Austria. The aim of the collaboration is to provide international exposure to PCN

· Smart Scheduling for HPC Platforms

· Temporal Information Retrieval and Visualization

· Privacy preservation in online systems

· Performance Modelling of SDN-based 5G Edge Networks using Block Chain

Current Projects

3. Dr Muhammad Aleem, Associate Prof.

2. Dr Kashif Munir, Associate Prof.

1. Dr Arshad Islam, Associate Prof. & Head of the research lab

4. Dr Subhan Ullah, Assistant Prof.5. Mr Ameen Chilwan, Lecturer


Members

Lab Home Page: www.pcn.net.pk

The research areas include enterprise information systems, understanding the behaviour of complex systems, modelling and simulation, information systems' security, Human-Computer Interaction and inclusive design.

Information Systems Research Lab

1. Dr Naveed Ahmad, Associate Prof. & Head of the research lab


Members

The Leadership and Management SIG has carried out various projects on leadership, cross-cultural HRM and performance management over the past few years. International projects and partnerships include work with the Cross-Cultural Management Network (CCMN) under which the main past project covered trust and leadership across cultures, while the current project is based on leadership behaviours, trust and job embeddedness across cultures covering data from 25 countries. Another landmark project of the SIG includes collection of data on the GLOBE 2020 project for comparison of cultural dimension in Pakistan with 100 plus countries in collaboration with Simon Frasier University, Canada; the Director MARC also conducted the GLOBE study in Pakistan in the past. The lead researcher has also been involved in various projects on performance management to improve industry practices, and has a special interest in using data to improve HR practices.The Project Management and the Organizational Behaviour SIGs expand the scope of MARC. The team's expertise includes behavioural decision making in project management, justice, creativity, organizational politics, workplace

The Management Advancement Research Centre (MARC) was established at FAST_NUCES Islamabad to conduct leading edge research in management sciences with the aim to enhance knowledge and find solutions for industry challenges. Various Special Interest Groups (SIGs) work under MARC, all committed to taking up projects which contribute to the body of knowledge, yet at the same time provide a bridge between academia and practice.

Management Advancement Research Centre - MARC

Research Centres

4. Autonomous Site Security System, Government of Pakistan.

research students at NUCES, Islamabad and providing them with research guidance from renowned international researchers in the domain of parallel and distributed computing. Additionally, the PCN Lab is in active collaboration with researchers from the Norwegian University of Science and Technology (NTNU), Trondheim. The collaboration is in the domain of SDN-based 5G Edge Networks.

FAST-NUCES 37

and the Co-Principal Investigator,

Electrical Engineering Department hosts the Embedded Systems & Pervasive Computing (EPIC) Lab that as the name suggests, encompasses research and development activities in the broad areas of Embedded Systems, Internet of Things (IOT), Cloud Computing and integration of software and hardware systems. It is headed by Dr. Ataul Aziz Ikram, Professor, Department of Electrical Engineering & Director ORIC. Currently, a Higher Education Commission (HEC) funded National Research Program for Universities (NRPU) project is being executed by Dr. Ataul Aziz Ikram, Principal Investigator. The title of the project is “Implementation of a multi-device multi technology cloud, performance evaluation and customization for commercial applications”. The project is in collaboration with the University of Gujrat, Hafiz Hayat Campus,

Dr. Zia- Ul Qayyum, who is also the Vice Chancellor there.

EPIC (Embedded Systems & Pervasive Computing) Lab

The CSS research group in the department of Electrical Engineering explore a common framework of solving problems of interdisciplinary nature. Instead of reinventing the wheel in each domain, solutions developed in one domain can be easily adapted with little adjustment to other related domains. Mathematical Systems Theory provides such a unifying framework. The particular areas targeted so far include Model Order Reduction, UAV Models in Taxi Phase, Dynamic Control of Time-Delay Systems, Models of Biological Systems, Disease Models for Drug Design, Networks of Power

Cybernetics and Systems Science (CSS)

Vision: Aspiring to impact management theory and practice through creative and ethical research.

Mission: To conduct high quality research, following highest standards of ethics, to provide useful solutions for management, businesses and society, keeping a balance between points of convergence and divergence in an increasingly global business world.

Vision and Mission of MARC

Excellence: Embracing high standards and continuously creating better ways of doing things.

Creativity: Using imaginative and original ideas to create something new.

Impact: Improving understanding of complex business issues, to impact human and institutional functioning.

Research Values of MARC

Integrity: The quality of being honest and having strong moral principles.

Humility: The quality of not thinking that you are better than other people.

Self-belief: Confidence in your own abilities and judgment to examine your strengths and weaknesses.

Personal Values of FAST School of Management.

The MARC team is led by the Director MARC, Dr. Sadia Nadeem and Deputy Directors Dr. Muhammad Abbas and Dr. Shuja ul Islam. The core team also includes Dr. Abdul Wahab and Ms. Ayesha Bano. Other faculty members, researchers and students join the MARC team on a project by project basis.

The MARC Team

The Management Advancement and Planning Study (MAPS), Project Code NRPU 3457, Principal Investigator: Dr. Sadia Nadeem.Management in Pakistani Culture (MiPC), Project Code TRGP-III/954, Principal Investigator: Dr. Sadia Nadeem.

Past Projects

IESE JELER Study: Collaboration with IESE Business School, Barcelona, Spain, to understand how the trust that subordinates have in their leaders impact employee commitment to the job and the organization, and how this relationship varies between different countries.

GLOBE 2020: Collaboration with Simon Frasier University, Canada, in an international project to understand Pakistani culture and leadership behaviours.

Current Non - Funded International Projects

Pakistanis in Chinese Organisations (Funding Agency-HEC): This research aims to test the impact of Chinese top management team expatriates adjustment on identity changes of Pakistani host country nationals. (NRPU-10188)Impact of Business Education on Students' Values (Funding Agency-HEC): Using data collected over 4 years, the study aims to provide preliminary evidence on how business curriculum, text, content, terminologies and language are harming the business graduates' moral values and norms.

Current funded projects at MARC

stressors and psychological stressors. The SIG researchers have various publications in the above mentioned areas and are interested in working with industry to improve organizational practices.

Islamabad Campus

GLOBE Study: A collaboration with Thunderbird Business School, University of Arizona, USA.

FAST-NUCES38

The Integrated Circuit Design Lab is established to contribute to the echo-system integrated circuit design in Pakistan. The main objective of the IC design lab is to decimate the knowledge and methodologies of real silicon tapeout along with circuit design to its graduate students. ICD Lab is equipped with all the necessary CAD tools and IC Design Kits needed for an IC- tapeout. The main research area is Analog, RF and Mix Signal ICs. The ICD lab is currently hosting a dedicated MS in IC Design program with more than 30 graduate students. The first student tapeout is planned to be in Spring, 2021. The lab has several high impact IEEE journal papers, US patents and real world working ICs to its credit.

Huawei Authorized Information and Network Academy (HAINA) is a not-for-profit partnership program that authorizes universities and colleges to deliver Huawei Certification courses to their students. Huawei and Islamabad campus signed HAINA agreement recently and two batches have already completed their Training Program. The University believes that practical knowledge will create opportunities and will support effective and sustainable growth. Through the HAINA program, Huawei and NUCES contributes support to the local ICT education, shares knowledge, creates more opportunities, and builds a better ICT talent eco-system.

HAINA (Huawei Authorized Information and Network Academy)

Our main focus areas include digital signal processing, deep learning, antenna/senor design and fabrication, and digital communication receivers. Currently, there are 7 MS and three PhD theses in progress. Furthermore, we have been

Collaborative Projects withNESCOM, SUPARCO and PAC

Research Centres

Dr. Shahzad Saleem

· Design, fabrication, and control of VTOL tilt-rotor aerial vehicle. Research field: Electrical/Control Systems/Aero Engineering

· Design and implementation of a global positioning system (GPS) unit for Pakistan National Student Satellite - 1 (PNSS-1). Research field: Digital Signal Processing / Satellite Communications

· Principle Investigator:

· This initiative is about a sustainable and progressive student satellite development under the umbrella of SUPARCO, Pakistan. In this regard, work on the design and development of a multichannel single frequency GPS receiver has been completed, which will be incorporated in the altitude control subsystem (ACS) of PNSS-1.

· Principle Investigator: Dr. Shahzad Saleem· Co-PI: Dr. Mukhtar Ali, NESCOM· This project primarily focuses on

the modelling of Hover mode, Cruise mode, and Transition mode of a VTOL tilt-rotor unmanned aerial vehicle (UAV). It will also include the design and analysis of a robust controller for the UAV.

Dr. Ataul Aziz Ikram

Members of the group:Dr. Mukhtar Ullah,

Systems, and Engineering Education. Our collaborators include the University of Rostock, National University of Singapore, University of Jeddah, NESCOM, UET Peshawar and CUST.

involved in three projects in collaboration with NESCOM, AvDI (PAC, Kamra), and Department of Electronics and Computer Engineering, FH Joanneum, Graz, Austria The Department of Electrical Engineering has worked on collaborative projects with the National Engineering and Scientific Commission (NESCOM), Pakistan, and Space and Upper Atmosphere Research Commission (SUPARCO), Pakistan

FAST-NUCES 39

MS (CS), PIEAS, Islamabad (2015)

BSc (Math), Univ of Peshawar, Peshawar (2009)

Ms Amina AsifLecturer

MSc (CS), QAU, Islamabad (2012)

LecturerMr Hassan Raza

MS (CS), NUCES, Islamabad (2018)BCS (CS), CIIT, Vehari (2016)

MS (CS), NUCES, Islamabad (2005)

Associate ProfessorDr Hasan Mujtaba

HEC approved PhD SupervisorPhD (CS), NUCES, Islamabad (2010)

Dr Hammad Majeed

PhD (CS), Univ of Limerick, Ireland (2007)BE (SE), NUST, Islamabad (1999)

Associate Professor

Dr Waseem ShahzadProfessor HEC approved PhD Supervisor

MS (CS), NUCES, Islamabad (2008)PhD (CS), NUCES, Islamabad (2010)

BS (CS), Univ of Texas, USA (2001)

Dr Omer Beg

HEC approved PhD SupervisorAssociate Professor & Coordinator

PhD (CS), Univ of Waterloo, Canada (2013)MS (CS), Univ of Waterloo, Canada (2007)

Dr Omer IshaqAssistant ProfessorPhD (CIP), Uppsala Univ, Sweden (2016)MS (CS), Simon Fraser Univ, Canada (2008)BS (CSE), GIKI, Topi (2002)

Assistant Professor

MSc (Math), Univ of Balochistan, Quetta (2005)

Dr Noreen Jamil

PhD (CS), Univ of Auckland, New Zealand (2014)

BSc (Math), Univ of Balochistan, Quetta (2003)

PhD, Univ of Auckland, New Zealand (2012)

MSc (CS), BZU Univ, Multan (2001)

Dr Asif NaeemProfessor

MS (CS), BUITEMS, Quetta (2006)


MS (DW-DM), Univ of Greenwich, UK (2007)

Dr Kifayat Ullah Associate Professor

PhD (CE), Kyung Hee Univ, S. Korea (2016)

BS (IT), Gomal Univ, D. I. Khan (2005)


Mr Umair ArshadLecturer

BS (CS), CIIT, Vehari (2017)

Faculty-Islamabad Department of Artificial Intelligence & Data Science

FAST-NUCES40

Ms Mehreen AlamAssistant Professor

BS (CS), NUCES, Islamabad (2003)MS (CS), LUMS, Lahore (2005)

Assistant ProfessorDr Labiba Fahad

PhD (CS), City Univ of London, UK (2016)MS (CS), GIKI, Topi (2007)BS (CS), UAA, Rawalpindi (2004)

Dr Asma AhmadAssistant ProfessorPhD (CSE), Univ of Connecticut, USA (2016)

BS (CS), IIU, Islamabad (2006)MS (CS), NUCES, Islamabad (2008)

Dr Faisal Cheema

BS (Hons) (CS), IIU, Islamabad (2003)

Assistant ProfessorPhD (CS), Leipzig Univ, Germany (2017)MS (CS), NUCES, Islamabad (2004)

PhD (Bioinform.), Sabanci Univ, Turkey (2017)

BS (Bioinform.), IIU, Islamabad (2009)

Adjunct Assistant ProfessorDr Zoya Khalid

MS (Bioinform.), IIU, Islamabad (2012)

Dr Atif JilaniAssistant ProfessorPhD (CS), NUCES, Islamabad (2018)MSc (SE), MAJU, Islamabad (2008)BSc (CS), MAJU, Islamabad (2006)

Faculty-Islamabad

Associate Professor & Head of Department


Dr Kashif Munir

HEC approved PhD SupervisorPhD (CS), Univ of Innsbruck, Austria (2009)MS (CS), NUCES, Islamabad (2003)

Dr Affan Ahmed

PhD (CS), Univ of Southern California (2009)

BE (EE), NUST, Islamabad (2001)

Adjunct Associate Professor

MS (EE), Univ of Southern California (2004)

PhD (CS), Univ of Konstanz, Germany (2011)HEC approved PhD Supervisor

BS (CS), Foundation Univ, Islamabad (2002)

Associate Professor

MS (CS), GIKI, Topi (2004)

Dr Arshad Islam

PhD (CS), Univ of Cambridge, UK, (2011)


Associate ProfessorDr Naveed Ahmad


Dr Abdul Waheed Associate ProfessorPhD (CS), Univ Tech. Malaysia, Malaysia (2015)MSc (DCN), London Metro. Univ, UK (2008)

Dr Ehtesham ZahoorAssistant ProfessorHEC approved PhD SupervisorPhD (CS), Nancy2 Univ, France (2011)Masters (CS), Nancy1 Univ, France (2008)MS (CS), NUCES, Islamabad (2004)

PhD (CS), Univ of Stuttgart (2013)

Dr Adnan TariqAssistant Professor

BS (CSE) GIKI, Topi (2001)MSc (CS), RWTH Aachen Univ (2007)

Assistant ProfessorPhD (CS), Univ of Georgia, USA (2016)MSc (CS), Brunel Univ, UK (2007)

Dr Amna Basharat

BSc (SE), NUST, Rawalpindi (2005)

BS (CS), MAJU, Islamabad (2005)

Dr Shujaat Hussain

PhD (CS), Kyung Hee Univ (2019)MS (CS), MAJU, Islamabad (2009)

Assistant Professor

Associate ProfessorPhD (CS), Univ of Bedfordshire, UK (2011)

Dr Ejaz Ahmed

MSc (SE), Coventry Univ, UK (1995)MPhil (Math), QAU, Islamabad (1993)


Associate ProfessorHEC approved PhD Supervisor

Dr Hammad Naveed

PhD (Bioinform.), Univ of Illinois, USA (2012)


FAST-NUCES 41

BCS, SAL Univ, Khairpur, (1999)

Associate Professor

PhD (CS), Univ of Innsbruck, Austria (2012)MSc (CS), QAU, Islamabad (2002)


Dr Muhammad Aleem

Mr Ameen Chilwan

BSc (TE), Univ of Dar es Salam, Tanzania (2007)MSc (Tel), NTNU, Norway (2011)Lecturer

Ms Amna Irum

MS (CS), Myongji Univ, S. Korea (2009)BS (CS), NUST, Islamabad (2006)

Assistant Professor

Assistant Professor

BS (CS), IIU, Islamabad (2007)MS (CS), NUCES, Islamabad (2009)

Ms Noor Ul Ain

MS (CS), NUCES, Islamabad (2013)Assistant Professor


Ms Saba RasheedLecturerMr Shoaib Mehboob

MS (CS), NUCES, Islamabad (2019)BS (CS), NUCES, Islamabad (2016)

Faculty-Islamabad

BS (CS) GIKI, Topi (2012)

LecturerMr Shehreyar Rashid

MS (IT), NUST, Islamabad (2018)

Ms Shahnila Rahim

BS (CS), IIU, Islamabad (2017)MS (CS), NUCES, Islamabad (2019)Instructor

Ms Ayesha Kamran

MCS, FJWU, Rawalpindi (2019)Instructor

BS (CS), Univ of Karachi (2011)

Mr Majid HussainInstructor

Ms Madiha UmarInstructorBS (CS), AAU, Rawalpindi, (2015)

Ms Hafsa RasheedInstructorBS (CS), NUCES, Islamabad (2016)


Mr Mehran Khan

BSc (CS), CASE, Islamabad (2016)Instructor

BS (T&N), CIIT, Islamabad, (2015)

Mr Ahmed Nawaz

MS (CS), NUCES, Islamabad (2019)Lecturer

BCS, IM Sciences, Peshawar, (2015)

Mr Saad Salman

MS (CS), NUCES, Islamabad (2019)Lecturer

Assistant Professor

BS (CS), NUCES, Islamabad (2007)MS (CS), LUMS, Lahore (2014)

Mr Hassan Mustafa

Assistant ProfessorMr Ali Nasir

MBA, Salford Univ, UK (2009)BS (SE), UET, Taxila (2005)

LecturerMr Shams Farooq

BS (CS), Univ of Peshawar (2004)MS (ESE), Univ of Huddersfield, UK (2006)

BS (CS), PUCIT, Lahore, (2007)MS (CS), NUCES, Lahore (2012)LecturerMs Sidra Khalid

FAST-NUCES42

InstructorBS (CSE), Foundation Univ, Rawalpindi (2019)

Ms Tayyaba Arshad

BS (SE), Foundation Univ, Rawalpindi (2018)InstructorMr Turab Ali

InstructorBS (CS), FJWU, Rawalpindi (2018)

Ms Yasmeen Afzal

Mr Zia Ur RehmanInstructorBS (SE), CIIT, Wah (2018)

Mr Ali RazaInstructorBS (CS), NUCES, Islamabad (2019)

BSc (SE), UET, Taxila (2019)

Ms Fatima FarooqInstructor


Ms Parisa Salma

InstructorMs Shehr Bano

BS (CS), IIU, Islamabad (2018)

Faculty-Islamabad

Ms Humera SabirInstructorBS (CS), CASE, Islamabad (2017)

InstructorBS (CS), CASE, Islamabad (2017)

Ms Kainat Iqbal

Mr Muhammad Usman

BS (CS), NUCES, Islamabad (2017)Instructor

InstructorBS (CS), Air Univ, Islamabad (2017)

Mr Usman Kaisser


Mr Naeem Rehmat

Ms Saba KanwalInstructorBSc (SE), Mirpur Univ, Mirpur (2018)


FAST-NUCES 43

InstructorBS (CS), IIU, Islamabad (2018)

Ms Huma Altaf

Mr Jawad HassanAssistant ProfessorMS (CS), NUCES, Islamabad (2009)BS (CS), AJKU (2007)

Dr Muhammad Asim

HEC approved PhD SupervisorPhD (CS), Liverpool John Moore Univ, UK (2010)MS (CS), Liverpool Univ, UK (2006)

Associate Professor & Coordinator

BS (CS), Univ of Peshawar, Peshawar (2004)

Faculty-Islamabad

FAST-NUCES44

MS (CS), Univ of Applied Sci, Germany, (2014)

Assistant Professor

BS (CS), Univ of Malakand, KPK (2008)MSCS, IIU, Islamabad (2013)

PhD (CS),

Dr Subhan Ullah

Univ. of Klagenfurt, Austria; Univ. of Genoa, Italy (2019)

Department of Computer Networks & Cyber Security

LecturerMS (SE), RIU, Islamabad (2015)BS (SE), FJWU, Rawalpindi (2013)

Ms Uzma Bibi

PhD (CS), Univ of Malaya, Malaysia (2015)

Associate Professor & CoordinatorHEC approved PhD Supervisor

Dr Irum Inayat

MS (CS), CIIT, Islamabad (2010)BS (CS), PIEAS, Islamabad (2007)


MS (CS), MAJU, Islamabad (2006)

Dr Zohaib IqbalAssociate Professor & Director ORICHEC approved PhD SupervisorPhD (SE), Univ Of Oslo, Norway (2012)


Dr Uzair KhanAssistant ProfessorHEC approved PhD SupervisorPhD (CS), INRIA-I3s-CNRS-UNSA, France (2011)MS (CS), UNSA, France (2007)MS (CS), MAJU, Islamabad (2005)BS (CS), MAJU, Islamabad (2003)

Faculty-Islamabad

Mr Bilal KhalidLecturerMS (SE), COMSATS, Islamabad (2019)BS (SE), CIIT, Islamabad (2017)

Ms Shafaq Riaz

MS (SE), NUCES, Islamabad (2019)BS (CSE), Foundation Univ, Islamabad (2017)

Lecturer

Ms Anmol BilalInstructorBS (CS), NUCES, Chiniot-Faisalabad (2017)

FAST-NUCES 45

Assistant Professor PhD (EE), UET, Taxila (2014)

Dr Durdana Habib

MS (CE), NUST, Rawalpindi (1998)BS (EE), UET, Lahore (1983)

PhD (CS), Univ of Rostock, Germany (2009)MS (Controls), UMIST, UK (2002)BSc (EE), NWFP UET, Peshawar (1999)

Dr Mukhtar UllahProfessor & Head of DepartmentHEC approved PhD Supervisor

Department of Electrical Engineering Faculty-Islamabad

Dr Arshad Hassan

PhD (FPA), Jeju National Univ, S. Korea (2017)MS (TE), NUCES, Islamabad (2011)

Assistant Professor

BS (EE), CIIT, Islamabad (2007)

Professor, Dean & Director

MSc (EE), UMIST, UK (1987)BSc (EE), UET, Peshawar (1984)

Dr Waseem Ikram

PhD (EE), UMIST, UK (1990)

PhD (EE), Univ of Padova, Italy (2017)Assistant Professor

MS (EE), NUCES, Islamabad (2012)

Dr Waqas Bin Abbas

BS (TE), NUCES, Islamabad (2008)MS (EE), CUNY, USA (2003)BS (EE), METU, Turkey (1997)

Dr Ataul Aziz Professor PhD (EE), CUNY, USA (2007)

Assistant Professor


Mr Azhar Rauf

MS (EE) Univ of Texas, USA (1991)

Dr Rashad Ramzan

MS (EE), RIT, Stockholm (2003)PhD (EE), Linkopings Univ, Sweden (2009)Professor


Assistant Professor


Mr Aamer Munir

MS (EE), UET, Taxila (2005)PhD (EE), Univ of New Mexico, USA (2003)

Dr Babar MinhasAssociate ProfessorHEC approved PhD Supervisor

B c (EE), UET, Lahore (1989)SMS (EE), Univ of New Mexico, USA (1995)

Mr Shahid Qureshi

MS (CE), CASE, Islamabad (2006)Assistant Professor

BE (CE), NUST (2001)

Dr Shahzad SaleemAssistant ProfessorPhD (EE), Graz Univ of Tech, Austria (2010)MS (CE), CASE, UET, Taxila (2005)MSc (Electronics), QAU, Islamabad (1999)

Mr Aamer Hafeez


Assistant ProfessorMS (TE), NWFP UET, Peshawar (2007)PhD (EE), Univ of Stuttgart, Germany (2012)

MS (EE), Blekinge Inst. of Tech, Sweden (2005)

BS (EE), GIKI, Topi, (1998)

Dr Farhan KhalidAssistant Professor

MS (Telecom Mgmt.), INT, France (2000)

BS (CE), CIIT, Abbottabad (2007)

Assistant ProfessorMS (TE), NUCES, Islamabad (2009)

Mr Ibrar Khan

PhD (EM), Beijing Univ of P&T, China (2012)

Dr Muhammad SaeedAssistant Professor

MS (TE), UET, Peshawar (2007)BSc (EE), UET, Peshawar (1997)

Mr Shehzad AhmedAssistant Professor

BSc (CE), UET Taxila (2006)MSc (CE), UET Taxila (2010)

Assistant Professor HEC approved PhD SupervisorPhD (PE), NTNU, Norway (2013)

Dr Muhammad Jafar

MS (EE), UET, Taxila, (2008)BS (EE), UET, Peshawar (1998)

FAST-NUCES46

Ms Sana Saleh

BS (EE), NUST, Islamabad (2014)MS (EE), NUCES, Islamabad (2019)Lab Engineer

Ms Sana HassanAssistant ProfessorMS (EE), NUCES, Islamabad (2012)BS (TE), NUCES, Islamabad (2007)

Mr Adnan AbidLab EngineerBS (EE), NUCES, Peshawar (2015)MS (EE), NUCES, Islamabad (2017)

BS (EE), NUCES, Islamabad (2013)

Ms Maryam WasimLecturer

Lab EngineerBS (EE), NUCES, Islamabad (2016)

Mr Abdul WajjidLecturerMs Moomal Bukhari

MS (EE), NUCES, Islamabad (2017)BS (EE), NUCES, Islamabad (2013)

Faculty-Islamabad

Ms Ifrah MaqsoodLab EngineerBS (EE), NUCES, Islamabad (2016)

LecturerMS (EE), NUCES, Islamabad (2018)BSc (EE), UET, Lahore (2012)

Mr Naveed Iqbal

Lab EngineerMs Iqra Akram

BS (EE), UET, Lahore (2016)Lecturer


Ms Maria Nasir

MS (EE), NUCES, Islamabad (2019)

BS (EE), Bahria Univ, Islamabad (2018)

Mr Hamza AtiqLab Engineer

Mr Fakhar Abbas

MS (EE), NUCES, Islamabad (2016)BS (TE), NUCES, Islamabad (2010)

Lab Engineer

Lab EngineerMs Rabia Fazal

BSc (EE), UET, Taxila (2018)Lab EngineerMr Khalid Usman

MS (EE), NUCES, Islamabad (2018)BSc (EE), APCOMS, UET, Taxila (2013)


FAST-NUCES 47

HEC approved PhD SupervisorAssistant Professor & Head of Department

MS (Entrepreneurship), GCU, Lahore (2011)PhD (Ent.), Univ Utara, Malaysia (2016)

MBA, Univ of S. Asia, Lahore (2008)

Dr Abdul Wahab

FAST School of Management Faculty-Islamabad

Dr Ayub SiddiquiProfessorPhD (Finance), Bahria Univ, Islamabad (2013)MPhil (Economics) QAU, Islamabad (1992)MSc (Economics) IIU, Islamabad (1989)

PhD (Management), City Univ, UK (2003)

Dr Sadia Nadeem


MBA (HRM), City Univ, UK (1996)BSc (EE), UET Lahore (1993)

Associate Professor & Dean

Mr Usman Zafar

MS (IBM), Univ of Bradford, UK (2009)MBA, UCP, Lahore (1999)

Assistant Professor

MS (Finance), MAJU, Islamabad (2011)

Ms Falak KhanAssistant Professor

BBA, MAJU, Islamabad (2010)

Mr Aftab Bhatti

MS (Mgmt.), SZABIST, Islamabad (2012)Assistant Professor

MBA (MIS), BZU Multan (1996)

Mr Hammad Majeed

MBA, NUST, Islamabad (2002)MS (Logistics), Univ of Windsor, Canada (2012)

BSc (Textile Engg.), UET, Lahore (1997)

Assistant Professor

MS (Management), IIU, Islamabad (2009)

Dr Muhammad Abbas

PhD (Management), IIU, Islamabad (2014)

BBA (Hon.), KIU, Gilgit (2007)

Associate ProfessorHEC approved PhD Supervisor

Dr Bilal SaeedAssistant ProfessorPhD (Finance), CUST, Islamabad (2020)

BBA, PMAS AAU, Rawalpindi (2010)MS (Finance), PMAS AAU, Rawalpindi (2012)

BCS (Hon.), IIU, Islamabad (2005)

PhD (Proj. Mgmt.), Jiao tong Univ, China (2013)MBA, CIIT, Islamabad (2008)

Dr Shuja ul IslamAssistant Professor

Mr Muhammad Hassaan

MS (HRM), CUST, Islamabad (2013)MBA (HR), MAJU, Islamabad (2011)

Assistant Professor

MA (History), PU (2010)

Assistant ProfessorHEC approved PhD SupervisorPhD, Bahria Univ, Islamabad (2017)

MBA (Fin), NUCES, Islamabad (2009)

Dr Adnan Shoaib

MPhil (Fin), NUST, Islamabad (2011)

BBA, NUST, Islamabad (2008)MBA, NUCES, Lahore (2009)MS, NUCES, Islamabad (2018)

Ms Sarah KhanAssistant Professor

Dr Muhammad Akhtar

PhD (Finance), Air Univ, Islamabad (2017)Assistant Professor

FCMA, ICMAP, Islamabad (2012)MS (Finance), RIU, Islamabad (2011)

Mr Hashir ibne Irshad

MBA, IBA, Karachi (1993)

Assistant ProfessorCFA, Virginia, USA (2008)

BSc (Economics), IIU, Islamabad (2002)MSc (Economics), IIU, Islamabad (2003)Assistant ProfessorMr Attiq Hassan Ms Amna Arsalan

Assistant Professor

MBA, IBA, Karachi (1999) BBA, IBA, Karachi (1998)

Affiliate Member, ACCA (2011)

MSc (IER and HRM), LSE, UK (2008)

Ms Ayesha BanoAssistant Professor

BSc (Eco & Mgt.), Univ of London (2007)

FAST-NUCES48

InstructorMS (Finance), IM Sciences, Peshawar (2016)BBA, IM Sciences, Peshawar (2014)

Mr Imad RahimAssistant Professor

MSc (Statistics), PU, Lahore (1983)MBA, AIOU, Islamabad (2007)

Mr Adil Amin

BS (CS.), PMA, Abbottabad (2008)

InstructorMS (Finance), IIU, Islamabad (2018)

Mr Saifullah Khan

MBA, QAU, Islamabad (2012)

Mr Danial Hasan

MSc (MG.), Univ of Malaysia, Malaysia, (2011)BS (IT), Hamdard Univ, Karachi (2003)

Lecturer

MS (Fin), IIU, Islamabad (2018)InstructorMr Sajjad Hanif

MBA, Iqra Univ, Karachi (2013)

Mr Mehmood Ur RehmanLecturer

ACMA, ICMA, Pakistan (2010)MBA, Univ of Wales, London (2013)

MBA, AIOU, Islamabad (2008)B.Com, Univ of Punjab (2001)

Faculty-Islamabad

Instructor

BS (Business Admin.), QAU, Islamabad (2014)

Mr Rehan Aftab

MBA, PMAS AAU, Rawalpindi (2018)B.Com, Univ of Agriculture, Faisalabad (2006)

Adjunct FacultyACMA, ICMA, Pakistan (2011)

Mr Nouman Shakeel

InstructorMs Ayesha Yaqoob

BBA, NUCES, Islamabad (2019)

Mr Mansoor Mushtaq

MPhil. (Economics) PU, Lahore (2013)MA (Economics), PU, Lahore (2011)

Lecturer

MBA, QAU, Islamabad (2015)Lecturer

B.Com, Punjab Univ (2011)

Ms Sidra Abbas

FAST School of Management

FAST-NUCES 49

Assistant Professor

MSc (Pak. Studies), QAU, Islamabad (2005)

Ms Memoona Rasool

MPhil (American Studies) QAU, Islamabad (2009)PhD (Math), COMSATS Univ, Islamabad (2018)MPhil (Math), QAU, Islamabad (2007)MSc (Math), QAU, Islamabad (2005)

Dr Muhammad AliAssistant Professor & Incharge

Department of Sciences & Humanities Faculty-Islamabad

MPhil (Islamic Studies), IIU, Islamabad (2006)Assistant ProfessorMr Tayyeb Nadeem


Dr Khadija FarooqAssistant professor

MPhil (Math), QAU, Islamabad (2006)PhD (Math) Univ of Warwick, UK (2014)

BS (Math), IIU, Islamabad (2011)MS (Math), Air Univ, Islamabad (2013)

Ms Hamda KhanAssistant Professor

Dr Mehwish Hassan

MPhil (Physics), QAU, Islamabad (2007)

Assistant ProfessorPhD (Mat. Engg.), Univ of Brescia, Italy (2015)

MSc (Physics), QAU, Islamabad (2005)

MA (TEFL), AIOU, Islamabad (2008)MA (English), NUML, Islamabad (2002)

Mr Shahzad Mahmood

MS (English), IIUI, Islamabad (2019)Assistant Professor

MPhil (Math), QAU, Islamabad (2008)

Dr Farah Jabeen


Assistant ProfessorPhD (Math), HITEC, Taxila (2016)

MA (English), NUML, Islamabad (2010)

Ms Sadia Nauman

MPhil (English), GCU, Faisalabad (2014)Lecturer

M c (Math), QAU, Islamabad (2006)SMPhil (Math), QAU, Islamabad (2008)PhD (Math), QAU, Islamabad (2016)HEC approved PhD Supervisor

Dr Irfan ShahAssistant Professor

BS (English), FJWU, Rawalpindi (2009)

Ms Sanaa IlyasLecturerMPhil (English), FJWU, Rawalpindi (2015)

Assistant ProfessorPhD (Math), COMSATS Univ, Islamabad (2019)

MSc (Math), QAU, Islamabad (2009)MPhil (Math), QAU, Islamabad (2012)

Dr Sehrish Hassan

Lecturer

BS (English), IIUI (2017)MPhil, Air University, Islamabad (2019)

Ms Zunera MalikMs Aisha Ijaz

MSc (Physics), QAU, Islamabad (2004)MPhil (Physics), QAU, Islamabad (2006)Assistant Professor

Ms Farah NazLecturerMSc (Psychology), PU, Lahore (2006)

Mr Usman Ashraf

MSc (Math), QAU, Islamabad (2006)MPhil (Math), QAU, Islamabad (2008)Assistant Professor

Ms Sumera AbbasLecturerMA (English), NUML, Islamabad (2006)

Mr Khalil Ullah

MSc (Stats), PMAS AAU, Rawalpindi (2004)MPhil (Stats), QAU, Islamabad (2009)Assistant Professor

FAST-NUCES50

Ms Arjumand BilalLecturerMA (ELT), NUML, Islamabad (2009)

Department of Sciences & Humanities Faculty-Islamabad

FAST-NUCES 51

Karachi campus

FAST-NUCES52


The Karachi Campus provides state-of-the-art facilities at two campuses, dynamic and exceptional faculty, a secure and healthy environment, and a wide variety of extracurricular activities including student clubs, committees, and societies to encourage the intellectual and social development of students. The campus also has the facility of Incubation Centre and Innovation Centre to encourage and adopt the cutting technology to upgrade their research and development status.

The Main Campus is located on a six-acre site in Shah Latif Town on the National Highway, ten kilometres east of Karachi airport. The Main Campus is located on a six-acre site in Shah Latif Town on the National Highway, ten kilometres east of Karachi airport. The Campus has spacious, fully air conditioned classrooms, laboratories, auditorium, seminar rooms and a modern library. All Engineering Labs for Power Systems, Electronics, Electrical, Control Engineering, Signal Processing, Telecommunications, Networking, and Multimedia are state-of-the-art and fully equipped Computer labs on Campus feature the latest technology computers and workstations that use Linux and Windows-based environments. The Campus is fully networked and provides wireless hotspots. The Campus has a vibrant Research and Development culture. Faculty members are part of research groups. Weekly research seminars, local IEEE, ACM and IET chapters' meetings and seminars are regularly held. A separate student activities block includes a cafeteria, state of art auditorium, and sports facilities for

The City Campus on main Shahrah-e-Faisal (near Nursery) houses School for Graduate Studies. The City campus has air conditioned, contemporary classrooms; up-to-date computer labs; library and a Seminar Hall ideal for seminars, lectures and functions. The City Campus library is fully linked with the library of Main Campus. All the facilities and services at Main Campus are equivalently accessible for the students of City Campus.

A dedicated Placement office at Karachi Campus facilitates students in job placements and internships through its industry relations. The office arranges various recruitment related events both on campus and at companies' premises. It also provides career and skill development counselling to students, students' skills in CV making, approaching job market, soft skills, goal setting etc. The Campus also has a state of the art Language Lab to teach students English and other foreign languages and prepare them via video cameras, and round table discussions, for both National and International employability.

indoor games. The campus also includes playgrounds for Cricket, Hockey, Football, Basketball, Badminton, Volleyball and Tennis courts. Main Campus also has a Mosque. The Main Campus has made arrangements for efficient and comfortable transport services for students and staff to commute easily from varied locations throughout the city.

DirectorProfessor & DirectorDr Jawwad A. Shamsi

BE (Electrical), NED UET, Karachi (1998)MS (CS), University of Michigan- Dearborn (2002)PhD (CS), Wayne State University, MI, USA (2009)

The Karachi campus offers following degree programs at its two campuses:

BBA








MS (Data Science)


MS (Software Project Management)



In addition to the University sponsored financial assistance and scholarships, Karachi Campus also receives scholarships for position holders from the Boards of Sindh and Baluchistan, Sindh Endowment Board Scholarship (40% urban and 60% rural quota, every year up to 40 scholarships), Baluchistan Endowment Board Scholarship, Memon Welfare Association's scholarship, HEC-JICA scholarship and other scholarships and aids for meritorious students.

Karachi Campus

FAST-NUCES 53

Solutions has been accepted by IEEE IT Professional Journal (Impact Factor: 1.661). (2019)

· Abdelmuttlib Ibrahim Abdalla Ahmed, Abdullah Gani, Siti Hafizah Ab Hamid, Abdelzahir Abdelmaboud, Hassan Jamil Syed, Riyaz Ahamed Ariyaluran Habeeb Mohamed, Ihsan Ali, Service Management for IoT: Requirements, Taxonomy, Recent Advances and Open Research Challenges.

· Shahzeb Khan, and Jawwad A. Shamsi. “Health Quest: A Generalized Clinical Decision Support System with Multi-Label Classification.” Journal of King Saud University-Computer and Information Sciences (2018). (Cite Score: 2.05)

· Lareb Usman and Jawwad A. Shamsi. A Comparison of Learning Techniques for Android Malware Detection Using Apache Spark has been accepted for publication in Journal of Engineering Science and Technology. (ISI indexed)

· Jawwad Shamsi and Mohammad Ali Khojaye. “Understanding Privacy Violations in Big Data Systems”. IEEE IT Professional (Impact Factor: 1.661)

· Tooba Siddique and Jawwad A. Shamsi. Generating Abstractive Summary Using Sequence to Sequence Attention Model FIT (2018)

Motivated by recent advancements and popularity of Cloud Computing and High-Performance Computing systems, SysLab also focuses on research and development of these two different but related domains. Cloud Computing can yield enhanced performance and usability for different mobile and Internet-based applications. Similarly, High Performance Computing can catalyse solution for many computational problems and yield increased performance for various applications. Further, technological advancements related to Smart city and Internet of Things, emergence of smart grid, and integration of mobile and cloud, has open new opportunities for research. SysLab team is concentrated on architecture and design of these systems and development of various applications which can benefit from emerging research technologies.

SysLab focuses on research and development of Cloud Systems, Internet-based distributed systems, and mobile applications. Research at SysLab is inspired by many considerations related to Security, Scalability, Quality of Service, Performance Enhancement, and Usability of these systems.

Systems Research Laboratory (SysLab)

Current Research Topics:Smart City and Smart grid, GPU Computing, Block Chain, Distributed Deep Learning, Internet of Things, Software Defined Networks, Natural Language Processing, Heterogeneous Parallel Computing, Cloud Computing, Fog/Edge Computing, Cyber Security for Smart City, Multimedia Wireless Sensor Networks, Security in Smart phones.

Research Centres

Karachi Campus

http://syslab.khi.nu.edu.pk

· Dr. Nouman Durrani

· Dr. Jawwad A. Shamsi, Principal Investigator

· Dr. Narmeen Zakaria

· Dr. Hassan Jamil Syed· Dr. Fahad Samad

· Mr. Nadeem Ka fiKhan

Team Members:

· Mr. Hammad Sami

· Ms. Fatima Taqvi

· Ms. Tania Iram· Ms. Anam Qureshi

· Ms. Shazia Usmani· Ms. Nausheen Shoaib

PhD Students:

Funded Projects:SysLab has received research grants from NVIDIA and IEEE TCPP. It is also

Pakistan's first and only NVIDIA Research Center. In 2017, SysLab

received HEC NRPU grant to develop efficient infrastructure for large-scale communication of IOT devices in a smart city.

Recent Publications:

· Nausheen Shoaib and Jawwad A. Shamsi. Understanding Network Requirements for Smart City Applications: Challenges and

· Narmeen Zakaria and Jawwad Shamsi. SDN based Secure and Agile Framework for Protecting Smart City Applications from DDoS Attacks. Journal of Network and Computer Applications. Accepted for publication. (2019)

· Tania Iram, Jawwad A Shamsi, M. Usama Alvi, Saif ur Rahman Saleem, and M. Maaz Ansari “Controlling Smart-City Traffic using Machine Learning” has been published by FIT(2019).

FAST-NUCES54

Research Centres

Centre for Research in Data ScienceData Science is a dynamic and fast growing field at the interface of Statistics and Computer Science. It is an interdisciplinary field to get knowledge and various insights from data. The Data Science Research Group at Karachi Campus of National University of Computer and Emerging Sciences addresses the challenges associated with getting information from homogenous and heterogeneous data. Research group mainly focus on machine learning and information processing techniques for data analysis with main applications in writer identification, face recognition, cancer classification, multi-label classification, social media data analysis and information visualization. Data Science is going to become of the important discipline in Computer Science. The research group will focus on cutting edge development in this field.

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 9 (5), 2019 (Impact Factor, 2.6)

· F H Syed, M A Tahir, Safe semi supervised multi-target regression (MTR-SAFER) for new targets learning, Multimedia Tools and Applications 77 (22), 29971-29987, 2018 (Impact Factor 1.6)

· Faraz Ahmad Khan, Muhammad Atif Tahir, Fouad Khelifi, Ahmed Bouridane, Resheed Almotaeryi “Robust off-line text independent writer identification using bagged discrete cosine transform features” Expert Systems with Applications, April 2017 (Impact Factor 3.9)

· Muhammad Hanif, Muhammad Atif Tahirr, Muhammad Rafi, Flood Detection Using Social Media Big Data Streams, Encyclopedia of Big Data Technologies, 1-10, 2018 (Book Chapter)

· Remy Peyret, Ahmed Bouridane, Fouad Khelifi, Muhammad Atif Tahir, Somaya Al-Maadeed “Automatic classification of colorectal and prostatic histologic tumour images using multiscale multispectral local binary pattern texture features and stacked generalization” Neurocomputing January 2018. (Impact Factor 3.32)

· J. Qureshi, A. Malik, "On Optimization of Wireless XOR Erasure Codes," in: Physical Communication, 27, April 2018, 74-85. (Impact Factor, 1.522)

· FA Khan, F Khelifi, MA Tahir, A Bouridane, Dissimilarity Gaussian Mixture Models for Efficient Offline Handwritten Text-Independent Identification Using SIFT and RootSIFT Descriptors, IEEE Transactions on Information Forensics and Security 14 (2), 289-303, 2019 (Impact Factor, 4.332)

The Smart Video Surveillance Lab:FAST-NUCES Karachi campus has been awarded Rs 39.3 million from Planning Commission of Pakistan and HEC to establish state of the art Smart Video Surveillance Lab as part of National Centre for Big Data & Cloud Computing – NCBC, Pakistan. The lab aims to extract appropriate and timely information from large number of video streams that can benefit government agencies, hospitals, and educational institute. In this regard, the lab plans to develop three video surveillance-based applications: “(a) Theft Car Surveillance, (b) Real Time Weapon and Face Recognition from CCTV Images, and (c) Suspicious Activity and Evidence Detection using Smart IoT Systems and Active Learning” to address the needs of providing security to the citizens of Pakistan. This project aims to finish by May 2021. Prof. Muhammad Atif Tahir is the PI and Dr Nouman Durrani is the Co-PI in this project.

· Dr. Hasina Khatoon

· Dr. Fahad Sherwani

· Dr. Muhammad Atif Tahir

· Dr. Muhammad Rafi· Dr. Rauf Ahmed Shams

· Dr. Muhammad Nouman Durrani

Team Members:

· Mr. Shehzad Ahmed

· Mr. Waqas Shaikh

· Mr. Furqan

· Mr. Musawar Ali

· Mr. Farrukh Hasan

· Mr Hanif Soomro

· Mr. Zeeshan Khan

PhD Students:

· K Soomro, MNM Bhutta, Z Khan, MA Tahir, Smart city big data analytics: An advanced review,

· Razali Bin Hassan, Muhammad Mujtaba Asad, Fahad Sherwani (Universiti Tun Hussein Onn Malaysia), & Qadir Mehmood Soomro (OSHTC Pakistan) (2020)

Selected Recent Publications:

IT Security Labs at the Computer Science department at the National University of Computer and Emerging Sciences Karachi Campus studies and teaches security problems and solutions for different types of Information and Communication paradigms. The research Lab is concerned with all aspects of applied Computer Security, with an emphasis on network security, web security, mobile security and secure architectures and protocols for Cloud and IoTs. The lab is headed by Dr. Sufian Hameed and includes Jalal Bhayo and Shahbaaz Siddiqui as PhD students

IT Security Labhttp://itsecuritylabs.com/

· Towards Disaster Resilient Smart Cities: Can Internet of Things and Big Data Analytics be the Game


FAST-NUCES 55

· The Rising Role of Big Data Analytics and IoT in Disaster Management: Recent Advances, Taxonomy and Prospects, Syed Attique Shah, Dursun Zafer Seker, Sufian Hameed, Dirk Draheim, IEEE Access, IF: 4.098 Vol. 7(1), 2019.

· SDN Based Collaborative Scheme for Mitigation of DDoS Attacks, Sufian Hameed, Hassan Ahmed Khan, MDPI Future Internet 2018, 10(3), 23.

· HADEC: Hadoop based Live DDoS Detection Framework, Sufian Hameed, Usman Ali, EURASIP Journal on Information Security, 2018.

Changers?, Syed Attique Shah, Dursun Zafer Seker, M. Mazhar Rathore, Sufian Hameed, Sadok Ben Yahia and Dirk Draheim, IEEE Access, IF: 4.098 Vol. 7, 2019, Vol. 7(1), 2019.

· Understanding Security Requirements and Challenges in Internet of Things (IoTs): A Review, Sufian Hameed, Faraz Idris Khan, Bilal Hameed, Hindawi Journal of Computer Networks and Communications (JCNC) [ISI and Scopus Indexed], ISSN: 2090-7141, Vol. 2019, 10 January 2019.

provide security assistance to airports, streets, banks, old homes, schools; but just as well in medical imaging to assist in diagnosis and surgeries, in human computer interaction (playing games, controlling computers with gestures, etc), in exploration of outer-space, and other areas of scientific research. The group also focuses on knowledge discovery from textual data. It is involved in extracting unstructured text, processing of information, converting into structural form for meta representation, associating semantics information, and performing innovative task specific processing. On the information retrieval side, the group is currently focused on document clustering, text summarization, sentiment analysis, named entity and event information mining, and web search and ranking. Techniques proposed from the group have at times received noteworthy reviews from the international research community. The group was the first in this part of the world to begin working on deep learning research, around 2014, and has since been dissolved. The member listed below is conducting their research with their graduate students, while the other members are now listed under other groups. Dr. Tahir Syed and Mr. Behraj Khan are working as part of the lab.

Karachi Campus

The ability to automatically extract information from visual input finds its applications within the ambit of the projects being undertaken under the Video Surveillance Lab at NUCES-Karachi, which is using these data to

This super-group brings into confluence several teams working in machine learning, computer vision, and information retrieval. Machine learning provides exciting aspects for enhancement and automation of business and scientific processes by making decision-making a function of data. Computer vision focuses on giving machines the ability to understand visual input.

The Machine Intelligence Group

· Task memorization for incremental learning with a common neural network architecture, M. Ahmad, B Mirza, T Syed, preprint Jan 2020

· Potential deep learning solutions to persistent and emerging Big Data challenges - a practioner's cookbook, B. Mirza, T. Syed, B. Khan, Y. Malik


The mission of this group focuses on multidisciplinary research ranging from distributed systems, its applications in crowd sourcing, implementations of distributed applications that supports handicapped community, building up distributed AI applications in healthcare, developing distributed intelligent human-aware applications that possesses context awareness, etc. The group is also working in developing distributed learning theories and frameworks following the Software Quality Assurance standards to enhance the distributed virtual learning environments. Our research is fundamental, aimed at harnessing the true potential of distributed crowdsourcing to enhance various phases of software development ranging from requirements engineering till managing bug repositories. The group is application-driven, motivated by important application areas, such as developing distributed applications to utilize the unmanned aerial vehicle (UAV) systems in education & health, developing auditable distributed systems utilizing the state-of-the-art technologies, designing framework for dynamic collaborative swarms etc.

Distributed Applications Group (DAG)

· Human-aware computing· Assistive software development· Distributed AI applications for

healthcare and education· Distributed Learning Computing· Distributed Requirement

Engineering

· Crowd sourced based distributed applications

collaborative swarm computing· Distributed Dynamic

· Ambient Assisted Computing

Research areas:

FAST-NUCES56

· Kashif Laeeq, Zulfiqar Ali Memon, Scavenge: an intelligent multi-agent based voice-enabled virtual assistant for LMS, Interactive Learning

Environments, 2019, Routledge, pp. 1-19. (Impact Factor: 1.929), Journal article.

· Imran Bhatti, Jawaid Ahmed

Siddiqi, Abdul Moiz, Zulfiqar Ali Memon, Towards Ad hoc Testing Technique Effectiveness in Software Testing Life Cycle, 2019 2nd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET), IEEE, pp. 1-6. Conference article.

· Kashif Laeeq, Zulfiqar Ali Memon, Strengthening Virtual Learning Environments by Incorporating Modern Technologies, Intelligent Computing - Proceedings of the Computing Conference, 2019, Springer, pp. 994-1008. Conference article.

· Ubaidullah Alias Kashif, Zulfiqar Ali Memon, Shafaq Siddiqui, Abdul Rasheed Balouch, Rakhi Batra, Architectural design of trusted platform for IaaS cloud computing, Cloud Security: Concepts, Methodologies, Tools, and Applications, IGI Global, 2019, pp. 393-411. Book Chapter.

Recent International Publications:

Research Group Members:

· Dr. Fahad Samad· Dr. Abdul Aziz

· Dr. Zulfiqar A. Memon (Principal Investigator and Team Lead)

· Mr. Abdul Rahman

· Farooque Hassan Kumbhar, " NB-IoT Pervasive Communications for Renewable Energy Source Monitoring", International Journal of Advanced Computer Science and Applications.

Research Centres

PhD Students:· Kashif Laeeq

· Muhammad Danish Khan· Asad Abbasi

URL: http://intellinet.rf.gd/

IntelliNet is a group of people working towards a smarter future with their intellectual endeavours. Our association with Computer Science Department, FAST-National University of Computer and Emerging Sciences, Karachi, Pakistan, believe that the future is smart devices and networks, which facilitate us and create numerous research opportunities. We develop intelligent systems for Next Generation Networks like Internet of Things, Name Data Networks, 5G Networks, etc.

IntelliNet: Intelligent Networks Research Centre

Team Members:Dr. Farooque Hassan KumbharDr. Jawwad A. Shamsi

PhD Students: · Mr. Danish Khan

Current Research Topics:

communications

· Blockchain

· Internet of Things (IoTs)· Smart Systems (Smart Health-

Care, Smart City, Smart Grid, etc.)

· Device -to- Device Communications

· Machine -to- Machine Communications

· Vehicular networks

· Security and Privacy

· Name Data Networks/ Information Centric Networks

· 5G Wireless Networks

Funded Project:HEC SRGP Project Titled as: "Smart Electricity Cloud for Efficient Utilization of Distributed Renewable Sources using Internet of Things". Jan 2018- Dec 2018, 1 Year, .5 Million PKR

Selected Research Publications: · Navrati Saxena, Farooque Hassan

Kumbhar and Abhishek Roy, "Exploiting Social Relationship for Trustworthy D2D Relay in 5G Cellular Networks", IEEE Communications Magazine, Feb, 2020

Software and Information engineering (S&IE) is the systematic and disciplined approach that covers different techniques, methods and processes for the inception, development, operation and maintenance of complex and large-scale software systems. The explosive growth of software applications and data, which we have been witnessing, has greatly reshaped our everyday life. The information being generated at an unprecendented rate present significant challenges in storage, computation, and its communication. Our research focuses on the development of new methodologies and systems to meet such challenges in different domains.

Within software engineering, our research is focused on software testing, agile software development, software process engineering, requirements engineering, DevOps and continuous integration, testing and deployment.

The research in this direction at FAST-NUCES is conducted by the Centre for Empirical Research in Software & Information Engineering (CERSIE). We closely collaborate with the industry to solve real world industrial challenges pertaining to software engineering practices in the local and international industry.

Centre for Empirical and Evidence-Based Research in SE (C.E.E.R.S.E.M.)

Team Members· Dr. Abdul Aziz – Team Lead· Dr. Zulfiqar Ali Memon· Mr. Farrukh Hassan Syed

FAST-NUCES 57

Radiotekhnika Radioaparatobuduvannia, 73, pp.

36-43, 2018.

· Zaidi, J., Butt, H., Nadeem, Z., Waseem, H., Yousuf, B. M., & Mohsin, H., Trajectory Tracking Control for Unmanned Aerial Vehicle. 3rd International Conference on Emerging Trends in Engineering, Sciences and Technology (ICEEST), Karachi, Pakistan, pp. 1-5, 2018.

· Hussain, Z., Khan, A. U. R., Mehdi, H., & Saleem, S. M. A., 2018. Analysis of Device-to-Device Communication over Double-Generalized Gamma Channels. Engineering, Technology & Applied Science Research, 8(4), pp. 3265-3269, 2018.

The Smart Intelligence Research Group has goals to contribute to the state of the art through research, development, and innovation in the scope of information and communication technologies for Internet of Things (IoT) and Next Generation Networks and Applications. The topics extremely relevant in telecommunications, digital health and intelligent solutions for live stocks. It intends to perform innovative research aiming to explore an increasing available amount of data in a growing connected world. It focuses on developing new technologies, solutions, and approaches exploring data from their generation and knowledge creation, including their storage, treatment, and analysis. Machine learning and data driven solutions with the nexus of IoT devices is going to bring a new wave of innovation in multiple sectors including health care, industrial automation, urban planning and smart cities.

Smart Intelligence Lab

Software Engineering, Disaster Management, Information systems, GeoInformatics, Data Analytics, Databases & Programming Languages, Applications for smart cities.

Research Areas:

· Azhar, M. T., Khan, M. B. and Khan, A. R., Blockchain based Secure Crypto-currency system with Quantum Key Distribution Protocol, International Conference on Information and Communication Technologies, Karachi, Nov. 2019.

· Khan, M.B., Nisar, H. and Ng, C.A., Image processing and analysis of phase-contrast microscopic images of activated sludge to monitor the wastewater treatment plants. IEEE Access, 6, pp.1778-1791, 2018.

· Khan, M.B., Nisar, H., Ng, C.A., Lo, P.K. and Yap, V.V., Generalized classification modeling of activated sludge process based on microscopic image analysis, Environmental technology, 39(1), pp.24-34, 2018.

· Hussain, Z., Khan, A. U. R., Mehdi, H., and Saleem, S. M. A., Analysis of D2D Communications over Gamma/Nakagami Fading Channels. Engineering, Technology & Applied Science Research, 8(2), pp. 2693-2698, 2018.

· Hussain, Z., Khan, A. U. R., Mehdi, H., and Saleem, S. M. A., 2018. Outage Analysis of Device-to-Device Communication System. Visnyk NTUU KPI Serila -

Collaboration, Big Data, Internet of Things and Security (SysCoBIoTS'2019), Casablanca, Dec. 2019.

· Azhar, M. T., Khan, M. B. and Zafar, M. M., Architecture of an Enterprise Project Life Cycle using Hyperledger platform, International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS), Karachi, Dec. 2019.

· Ang, R.B.Q., Nisar, H., Khan, M.B. and Tsai, C.Y., Image segmentation of activated sludge phase contrast images using phase stretch transform, Microscopy, 68(2), pp. 144-158, 2019.

Karachi Campus

Graduate Students· Amber Anwer

· Syed Hasnain Ali Rizvi

· Rabiya Nafees

· Muhammad Talha· Talha Hassan

The Intelligent Systems Group is engaged with the design and development of intelligent systems in cross-disciplinary settings. The main focus of the group is intelligent, data driven and behavioural modelling and control of systems such as electric power systems, plant health management, autonomous vehicle, home management, smart industry and autonomous multi-agent systems.

Intelligent Systems Group

Team Members:· Dr. Muhammad Burhan Khan

(Principal Investigator)· Dr. Asim-ur-Rehman Khan· Dr. Syed Muhammad Atif Saleem· Dr. Haider Mehdi

· Engr. Sadaf Ayesha· Engr. Maham Ghauri

· Engr. Haris Mohsin· Engr. Muhammad Ahsan Khan

Sunny· Engr. Quratulain Sohail

Student Members:

· Mr. Nauraiz Subhan· Mr. Muhammad Azam

· Mr. Ajlil Waqas

· Mr. Muhammad Abbasi

Recent Publications:· Khan, M. A., Shahid, M. H. B.,

Mansoor, H., Shafique, U., Khan, M. B. and Khan, A. R., IoT based Grocery Management System: Smart Refrigerator and Smart Cabinet, International Conference on Systems of

Team Members:· Dr. Ghufran Ahmed· Dr Rauf Ahmed Shams Malick

FAST-NUCES58

Research Centres

“Towards Energy and Performance Aware Sink Mobility in Underwater Wireless Sensor Networks,” in MDPI Energies 2018, 11, 1471.

https://doi.org/10.1109/ACCESS.2018.2826225 [IF: 4.098]

· Ghufran Ahmed, Saif Ul Islam, Maham Shahid et Al. “Rigorous Analysis and Evaluation of Specific Absorption Rate (SAR) for Mobile Multimedia Healthcare,” in IEEE Access, vol. 6, pp. 29602 - 29610. 23 rd May 2018. Electronic ISSN: 2169-3536.

https://doi.org/10.3390/en11061471 [IF: 2.676]

· Chowdhury, Chandreyee, Aslam, Nauman, Ahmed, Ghufran et al.(2018) “Novel Algorithms for Reliability Evaluation of Remotely Deployed Wireless Sensor Networks,” Wireless Personal Communications, 98 (1). pp. 1331-1360. ISSN 0929-6212.

· Muhammad Kamran Khan, Muhammad Shiraz, Suleman Khan, Kayhan Z. Ghafoor, Ali Safa Sadiq and Ghufran Ahmed. EE-MRP: Energy Efficient Multistage Routing Protocol for Wireless Sensor Networks, in Hindawi Journal of Wireless Communications and Mobile Computing, Volume 2018, Article ID 6839671, 13 pages.

https://doi.org/10.1007/s11277-017-4921-9. [IF: 1.2]

· Hasan Ali Khattak, Mariam Muzammal, Munam Ali Shah, Sohail Jabbar, Ghufran Ahmed,

et al. "Counter Measuring Conceivable Security Threats on Smart Healthcare Devices," in IEEE Access, vol. 6, pp. 20722 - 20733. 12 th April 2018. Electronic ISSN: 2169-3536.

https://doi.org/10.1109/ACCESS.2018.2839909 [IF: 4.098]

https://doi.org/10.1155/2018/6839671 [IF: 0.869]

Selected Recent Publications:· Ghufran Ahmed, Danish

Mehmood and Saiful Islam. “Thermal and energy aware routing in wireless body area networks,” in International Journal of Distributed Sensor Networks (IJDSN), volume: 15, issue: 6, 2019.

· Shehzad, M. N., Bashir, Q., Ahmad, G., Anjum, A., Awais, M. N., Manzoor, U., … Saba, T. (2019). “Thermal -aware resource allocation in earliest deadline first using fluid scheduling,” International Journal of Distributed Sensor Networks Volume: 15 issue: 3 https://doi.org/10.1177/1550147719834417 [IF: 1.787]

Networking, 2019:91.

· Hasan Ali Khattak, Hafsa Arshad, Saif Ul Islam, Ghufran Ahmed, Sohail Jabbar, Abdullahi Sharif, Shehzad Khalid. “Utilization and Load Balancing in Fog Servers for Health Applications,” EURASIP Journal on Wireless Communications and

· Asfa Toor, Saif Ul Islam, Ghufran Ahmed, Sohail Jabbar, Abdullahi Sharif, Shehzad Khalid. “Energy Efficient Edge-of-Things,” EURASIP Journal on Wireless Communications and Networking (2019) 2019: 82.

· Aqeb Yahya, Saif ul Islam, Adnan Akhunzada, Ghufran Ahmed et Al.

https://doi.org/10.1177/1550147719854974 [IF. 1.7]

· Mohsin Javed, Ghufran Ahmed, Danish Mahmood, Mohsin Raza, Kamran Ali, Masood Ur-Rehman. “A Thermal Aware & Energy Optimized Routing Protocol for Wireless Body Area Networks,” MDPI Sensors 2019, 19(15), 3275; https://doi.org/10.3390/s19153275 [IF. 3.031]

https://doi.org/10.1186/s13638-019-1395-3. [IF. 2.407]

https://doi.org/10.1186/s13638-019-1394-4 [IF. 2.407]

Distributed Applications Group (DAG)Centre for Research in Data Science aims to study and develop improved analytical models and methods for design, evaluation, and upgradation of artificially intelligent systems especially for real world applications. The research centre is concerned with all aspects of applied technologies in data science, with an emphasis on the development of Brain-Computer Interface (BCI) systems and their applications in mechatronics and robotics by exploring and implementing the possibilities of Machine learning and Artificial Intelligence, in order to design and develop such sophisticated and intelligent control systems for rehabilitation robotics that can benefit from Reinforced learning mechanism to automate, adapt and respond based on real-time. Dr. Fahad Sherwani is heading the lab.


· Asad, M. M., Hassan, R., Amir, M., Sherwani, F. & Soomro, Q. M. (2019). Design and development of a novel knowledge-based decision support system for industrial safety management at drilling process: HAZFO Expert 1.0, Journal of Engineering Design and Technology, Emerald Publishers, UK. (ISI & Scopus Indexed)

· Asad, M. M., Hassan, R., Sherwani. F, K. Latif, (2019), Identification of Potential Risks and Controlling Factors Associated with Helicopter Operation: A Mix Method Investigation from Oil and Gas Industries, International Journal of Integrated Engineering, UTHM. (ISI & Scopus Indexed)

· Asad, M. M., Hassan, R., Ibrahim, N., Sherwani. F., Jamali, A.R., Sohu S., Jamali, Q.B., Soomro Q.M. (2019), Determination of Hazardous Oil and Gas Drilling Activity and Potential Hazards

FAST-NUCES 59

communication and perception, creative and innovative thinking skills, etiquettes, public speaking, model speaking through movie sessions and live television programs, spoken English, phonetics and phonology, pronunciation, sound and spelling, stress and intonation, word focus, and Language Varieties( British and American).

This computer assisted language learning centre with video camera recording and discussion arenas, trains students in basic presentational skills, group discussions, interviews,

The University lays special emphasis on the ability of the students to effectively communicate their professional abilities. In order to augment their soft skills—communication adeptness, leadership talent, and managerial capacity—LLC, established at the Karachi campus is equipped with twenty-five work stations, provided for by state of the art hardware and most modern Interactive Language Software, and other allied pedagogical tools and techniques. The exquisitely furnished Centre affords students an opportunity to polish their language and communication skills both in English as well as foreign languages. Apart from offering lab sessions as course components of regular courses, i.e., English Language, the Centre also holds workshops, training courses, and activities in other Foreign Languages as well. The Centre also offers short courses for professionals from industry and students within in English and foreign languages like Arabic, Chinese, French, German and Korean.

Karachi Campus

· Asad, M. M., Hassan, R., K. Latif, Sherwani. F (2019). Identification of Potential Ergonomic Risk Factors and Mitigating Measures for Malaysian Oil and Gas Drilling Industries: A Conceptual Research Proposition, Journal of Physics: Conference Series, IOP Publisher. (ISI & Scopus Indexed)

· Asad, M. M., Hassan, R., S. Sohu., Sherwani. F (2019). Meticulous Severity Analysis for Sustainable Rig Construction Operation for Oil and Gas Drilling Industries: A Mix-Method Approach, International Journal of Sustainable Construction Engineering & Technology, UTHM. (ISI & Scopus Indexed)

· Asad, M. M., Hassan, R., Sherwani, B., Sherwani, F. & Soomro, Q. M. (2019). Knowledge Base and Rule Base Safety Management Systems Development Strategies and Applications for Petrochemical Industries: A Brief Outline, Journal of Physics: Conference Series, IOP Publisher. (ISI & Scopus Indexed)

Associated with Hydrogen Sulfide (H2S) and Chemical Operation: A Mix Method Investigation, International Journal of Integrated Engineering, UTHM. (ISI & Scopus Indexed)

LLC Language Learning Centre

FAST-NUCES60

Faculty-Karachi Department of Artificial Intelligence & Data Science


Mr Zeshan KhanLecturerMS (CS), CUST, Islamabad (2015)

Ms Saeeda Kanwal

BS (CS), BUITEMS, Quetta, (2011)

LecturerME (Com Sys), NED UET, Karachi (2018)

PhD (CS), NUCES, Karachi (2017)Assistant Professor & Coordinator Dr Muhammad Rafi

MS (CS), SZABIST, Karachi (2008)MCS, Univ of Karachi (2000)

Associate Professor PhD (CS), Academie de Versailles, France (2011)

Dr Tahir Syed

MS (VRIS), Academie deVersailles, France (2007)MS (CS), MAJU, Karachi (2006)BS (CS), NUCES, Karachi (2004)

InstructorMs Safia

BS (CS), NUCES, Karachi (2016)MCS, AWKU, Mardan (2011) MS (CS), NUCES, Islamabad (2014)

Mr Behraj KhanLecturer

BSc (CS), Univ of Peshawar (2008)

LecturerMS (CNS), NUCES, Karachi (2019)

Mr Abdullah Bin Zarshad

BS (Tel & Net), COMSATS, Abbottabad (2016)MS (IT), NUST, Islamabad (2006)

Dr Fahad SamadAssistant Professor & CoordinatorPhD (CS), RWTH Aachen Univ, Germany (2011)


Department of Computer Networks & Cyber Security

BE (EE), MUET, Jamshoro (2015)

Ms Rabia AhmedInstructor

PhD (Info. Sec.), G.A. Univ Germany (2012)

Dr Sufian Hameed


BS (CS), MAJU, Karachi (2005)

Associate Professor

MSc (Inform.), Aachen Univ, Germany (2008)

InstructorBS (CS), IIU, Islamabad (2018)

Mr Kariz KamalAssistant Professor

BS (CSE), NED UET, Karachi (1989)

Mr Nadeem Kafi

MS (CS), Hamdard Univ, Karachi (2007)

BE (CSE), Hamdard Univ, Karachi (2005)MS (TE.), Hamdard Univ, Karachi (2014)

Mr Shahbaz SiddiquiAssistant Professor

Faculty-Karachi

FAST-NUCES 61

Lecturer

BS (CS), PU, Lahore (2002)

Ms Shahar Bano


MS (CN), Hamdard Univ, Karachi (2013)

Ms Nausheen ShoaibLecturer

BS (Electronics), SSUET, Karachi (2004)

Faculty-Karachi

Professor, Dean & Head of Department

MS (CE), King Fahd Univ, KSA (2001)PhD (CS), Queens Univ of Belfast, UK (2005)HEC approved PhD Supervisor

BE (CS), NED UET, Karachi (1997)

Dr Atif Tahir

Dr Jawwad A. Shamsi

MS (CS), Univ of Michigan, USA (2002)



HEC approved PhD SupervisorPhD (CS), Wayne State Univ, USA (2009)


Ms Anam QureshiLecturerME (CSN), MUET, Jamshoro (2015)BE (TE), MUET, Jamshoro (2011)PhD (CS), MAJU, ISB (2013)

MCS, Univ of Karachi (2000)

HEC approved PhD SupervisorAssociate ProfessorDr Ghufran Ahmed

MS (CS), MAJU, KHI (2004)

Ms Tania IramLecturerMS (CS), MAJU, Karachi (2016)BS (CS), BZU, Multan (2000)

Professor

BE (Electronics), NED UET, Karachi (1981)

Dr Hasina Khatoon

MS (EE), Stanford Univ, USA (1985)PhD (CE), NED UET, Karachi (2014)

Mr Muhammad Danish

BS (IT), Univ of Sindh (2011)

LecturerMS (CS), Isra Univ, Hyderabad (2016)PhD (CS), Univ of Karachi (2014)

Assistant ProfessorDr Rauf Ahmed

BE (CS), SSUET, Karachi (2000)

LecturerMS (CS), Bahria Univ, Karachi (2016)BS (CS), Bahria Univ, Karachi (2012)

Ms Javeria Farooq

PhD (CS), NUCES, Karachi (2017)Assistant Professor

MCS, Agriculture Univ, Peshawar (2005)

Dr Muhammad Nouman

MS (CS), Hamdard Univ, Karachi (2007)

LecturerMr Shoaib Rauf

MS (CS), Hamdard Univ, Karachi (2017)BS (CE), NUCES, Karachi (2008)

HEC approved PhD SupervisorAssistant Professor

MS (TE), Univ of Bradford, UK (2008)BE (EE), QUEST, Nawabshah (2003)

PhD (CS), Univ of Malaya, Malaysia (2019)

Dr Hassan Jamil

MS (CS), MAJU, Karachi (2017)Lecturer

BS (CS) Univ of Karachi (2012)

Mr Shoaib Raza

BE (Electronics), Hamdard Univ, Karachi (2011)

Dr Fahad SherwaniAssistant ProfessorPhD (EE), Univ Tun Hussein Onn Malaysia (2019)MS (EE), Univ Tun Hussein Onn Malaysia (2013)

BS (CS), NUCES, Karachi (2014)MS (CS), NUCES, Karachi (2017)

Ms BakhtawarLecturer

Mr Muhammad ShahzadAssistant ProfessorMS (SE), FUUAST, Karachi (2017)MS (CN&Comm), Hamdard Univ, Karachi (2007)BS (CS), SALU, Khairpur (2002)

FAST-NUCES62

InstructorMr Muhammad Fahim


InstructorMs Nida Munawar

BE (SE), MUET, Jamshoro (2015)

Mr Farrukh Hasan Assistant ProfessorMS (CS), IBA, Karachi (2012)BS (CS), Univ of Karachi (2005)

BS (CIS), NED UET, Karachi (2016)

Ms Ammara YaseenInstructor

BS (CS), NUCES, Karachi (2016)

LecturerMS (CS), NUCES, Karachi (2018)

Mr Basit Ali

InstructorBE (CSE), Dawood Univ, Karachi (2016)

Ms RahemeenMs Nida PervaizLecturerMS (CS), LUMS, Lahore (2018)BS (CS), NUCES, Karachi (2016)

Mr Irfan Ayub

BS (CS), NUCES, Karachi (2017)Instructor

MS (CS) NUCES, Karachi (2019)MCS, Univ of Karachi (2015)

LecturerMr Zain ul Hassan

BCS (Hons.), Univ of Karachi (2010)

InstructorBS (CS), NUCES, Karachi (2017)

Ms Mubashra Fayyaz

BCS, Univ of Karachi (2013)

LecturerMS (CS), NUCES, Karachi (2019)

Ms Farah Sadia

MCS, Univ of Karachi (2016)

Ms SumaiyahInstructorBS (EE), NUCES, Karachi (2017)

Ms Atiya JokhioLecturerME (CSE), QUEST, Nawabshah (2019)BE (CSE), MUET, Jamshoro (2016)

InstructorMs Aqsa Zahid

BS (CS), Bahria Univ, Islamabad (2018)

Mr Musawar Ali

MS (CE), GIKI, Topi (2020)Lecturer

BE (SE), MUET, Karachi (2015)

Mr Hamza AhmedInstructorBS (CS), NUCES, Karachi (2018)

Faculty-Karachi Department of Computer Science

FAST-NUCES 63

Ms Rubab ManzarLecturerMS (SE), NUST, Islamabad (2009)BS (SE), FJWU, Rawalpindi (2004)

Ms Romasha Khurshid

MS (CS), IBA, Karachi (2019)Lecturer

BS (SE), Univ of Karachi 2013)

Faculty-Karachi

MSc (CS), Univ of Sindh, Jamshoro (2000)

Dr Zulfiqar Ali Professor & CoordinatorPhD (CS), Vrije Univ, Netherlands (2010)

BSc (Hons) (CS), Univ of Sindh, Jamshoro (1999)

Assistant ProfessorDr Abdul Aziz

PhD (CS), Hamdard Univ, Karachi (2019)MS (MC & IS), Hamdard Univ, Karachi (2007)MCS (SE), Hamdard Univ, Karachi (2003)


InstructorBS (SE), MUET, Jamshoro (2012)

Mr Muhammad NadeemAssistant ProfessorMS (CE), SSUET, Karachi (2004)BS (CE), SSUET, Karachi (1999)

Mr Abdul Rahman

MS (IT), Monash Univ, Australia (2005)Adjunct Assistant ProfessorMr Ubaid Aftab

BE (IT), Hamdard Univ, Karachi (2003)

FAST-NUCES64

MS (EE), Univ of Brunswick, Canada, (2004)

Dr Atif Saleem

PhD (EE), Univ of Brunswick, Canada, (2008)


Assistant Professor & Head of Department


BE (EE), MUET, Jamshoro (2012)

Mr Aqib NoorLecturerMS (EE), Universiti Teknologi, Malaysia (2016)PhD (EE), NYU, New York, (1993)

MS (EE), S. Dakota State Univ, USA (1987)

Professor Dr Asim ur Rehman


Mr Abdul Saboor LecturerMS (EE), Abasyn Univ, Peshawar (2016)BS (EE) Hamdard Univ, Karachi (2013)MSc (Comm. Eng.), NTU, Singapore (2005)


Associate ProfessorDr Haider Mehdi

PhD (Comm.Eng), NTU, Singapore (2010)

MS (EE), NUST, Karachi (2002)

BS (TE), Sir Syed Univ, Karachi (2013)

LecturerMs Sadaf Ayesha

ME (TE), NED Univ, Karachi (2016)HEC approved PhD SupervisorAssistant ProfessorDr Burhan Khan

PhD (Engineering), UTAR, Malaysia, (2017)MS (EE), NUST, Islamabad, (2009)BSc (EE), UET, Lahore, (2007)

Ms Maham Ghauri

ME (Ind. Electronics), NED UET, Karachi, (2017)BS (EE), NUCES, Karachi (2014)

Lecturer

BE (CSE), NED UET, Karachi (1996)

Mr Asim Mahmood

MS (Engg. Mgmt.), CASE, Islamabad, (2007)Assistant Professor

LecturerMS (EE), NUCES, Karachi (2018)BE (EE), Hamdard Univ, Karachi (2014)

Ms Rukhsar Ali

ME (Electronics), NED UET, Karachi (2008)BS (EE), SSUET, Karachi (2002)

Assistant ProfessorMr Haris Mohsin

MS (EE), NUCES, Karachi, (2018)LecturerMr Zakir Hussain

BS (EE), CIIT, Lahore (2014)

Mr Kashan HussainAssistant ProfessorME (Electronics), NED UET, Karachi (2011)BS (EE), SSUET, Karachi (2005)

Mr Bilal YousafLecturerMS (EL) NUST-PNEC, Karachi (2018)BE (EE), Hamdard Univ, Karachi (2015)

Mr Junaid RabbaniAssistant ProfessorMS (EE), Karlstad Univ, Sweden (2012)BE (Electronics), Hamdard Univ, Karachi (2007)

LecturerMr Aamir Ali

MS (EE), NUCES, Karachi (2019)BS (EE), NUCES, Karachi (2015)

Assistant ProfessorME (Ind. Electronics), NED UET, Karachi (2013)

Mr Ahsan Khan

BE (Electronics), NED UET, Karachi (2008)

Faculty-Karachi

Ms Qurat ul ain Sohail

BE (TE), NED UET, Karachi (2010)

Assistant ProfessorME (Comp. Systems), NED UET, Karachi (2014)

FAST-NUCES 65

Lab EngineerBS (EE), NUCES, Islamabad (2017)

Mr Umair Naeem

Faculty-Karachi

Lab EngineerBE (EE), NED UET, Karachi (2017)

Mr Aashir Mahboob



Mr Muhammad Ahsan

MBA (Finance), MAJU, Karachi (2009)

Assistant Professor

BS (CS) QUEST, Nawabshah (2007)

MSc (Finance), Univ of Bedfordshire, UK (2011)

Dr Nazia NazeerAssistant Professor & InchargePhD (Eco), Univ of Malaya, Malaysia (2019)MPA, Univ of Karachi (1999)

BBA Hons, Hamdard Univ, Karachi (2003)

Ms Asiya Zaheer

MBA (Marketing), Hamdard Univ, Karachi (2004)Lecturer

MBA (B&F), BZU, Multan (2010)

Assistant ProfessorPhD (B&F), Univ Utara, Malaysia (2019)

BS (Finance), BZU, Multan (2008)

Dr Muhammad Saad

Mr Michael Hieman Lecturer

BSc Hons (Econ, Stats.), Univ of Karachi (2004)MSc (Econ.), Univ of Karachi (2005)MS (IHRM), Univ of Northumbria, UK (2010)

Mr Zeeshan KhanAssistant Professor

Graduate CIPD, UK (2010)MBA (Marketing), MAJU, Karachi (2006)

FAST-NUCES66

BS (Stats.), FUUAST, Karachi (2012)MS (Stats.), IoBM, Karachi (2017)

Mr Osama Bin AjazLecturer

Ms Nazia ImamLecturerMPhil (Education), Iqra Univ (2018)MA (Eng. Lit.), Univ of Karachi (2003)

Faculty-Karachi

Ms Sameera SultanAssistant Professor & InchargeMPhil (Education), Iqra Univ, Karachi (2017)MA (Eng. Ling), Univ of Karachi (2005)

Dr Khusro MianAssociate Professor

MSc (Math), Univ of Karachi (1994)PhD (Astro Physics), Univ of Karachi (2014)


MSc (Math), Univ of Karachi (2014)

LecturerMs Amber Shaikh

MPhil. (Math), Univ of Karachi (2018)Assistant ProfessorDr Sadaqat Hussain

MSc (Math), Karakoram Univ, Gilgit (2008)PhD (Math), Univ of Karachi (2016)

Ms Javeria AliLecturerMS (Applied Ling.), NED UET, Karachi (2018)MA (Eng. Ling), Univ of Karachi (2015)

Dr Muhammad Shahzad

PhD (Islamic Studies), Univ of Karachi (2018)MA (IS & Arabic), Univ of Karachi (2005)

Assistant Professor

MA (English), NUML, Islamabad (2016)MSc (Economics), Univ of Karachi (2005)

Ms Atifa BatoolLecturerMS (App Ling), NED UET, Karachi (2018)MSc (Math), Univ of Karachi (2005)

Assistant Professor


Mr Muhammad Amjad

LecturerMs Hafza Yusra

MA (ELT), NUML, Islamabad (2019)MA (Eng) Univ of Karachi (2010)

Assistant Professor

MCS (CS), Univ of Karachi (2003)MSc (Math), Univ of Karachi (1997)

Mr Muhammad Jamil

MS (CN & Com.), Hamdard Univ, Karachi (2009)

MA (Psychology), Univ of Karachi (2012)

Ms Saba Abid

MPhil (Psychology), Univ of Karachi (2019)LecturerAssistant Professor

MPhil (Psychology), Hamdard Univ (2015)MA (Psychology), Univ of Sindh (1999)

Ms Sumara Rashid

Mr Hassan SaeedLecturer

MA (Islamic Studies), Univ of Karachi (2013)MPhil (Islamic Studies), FUUAST, Karachi (2019)

Assistant ProfessorMs Rabia Tabassum

MPhil (Space Science), Univ of Karachi (2017)MSc (Physics), Univ of Karachi (2000)

Ms Fareeha Sultan

MSc (Math), Univ of Karachi (2012)Lecturer

MS (Math), NED UET, Karachi (2016)

Mr Nadeem KhanLecturer

MSc (Math), Univ of Karachi (2010)

FAST-NUCES 67

Ms Javeria Iftikhar

MSc (Math) Univ of Karachi (2015)Instructor

Ms Faiza Mumtaz

MA (Eng. Ling.), Univ of Karachi (2012)MBA (Finance), Bahria Univ, Karachi (2015)Lecturer

Ms Hubrah Razi

MA (Eng. Ling), Univ of Karachi (2015)InstructorLecturer

Mr Kashif Ahmed

M.Ed. Shah Abdul Latif Univ, Khairpur (2015)

BS (IR), Shah Abdul Latif Univ, Khairpur (2011)MSc (Pak. Studies), QAU, Islamabad (2013)

Mr Muhammad ShahbazInstructorMSc (Maths), Univ of Karachi (2016)

Ms Asma MasoodLecturerMSc (Math) Univ of Karachi (2016)

InstructorMA (Applied Ling), Univ of Karachi (2018)

MSc (Geog), Univ of Karachi (2004)

Ms Khishwer Nazli

MA (Applied Ling), Univ of Est-Hyderabad (2008)MA (Eng. Ling), Univ of Karachi (2017)LecturerMr Javed Iqbal

MA (ELT.), Univ of Karachi (2015)

Faculty-Karachi Department of Sciences & Humanities

FAST-NUCES68


The Lahore Campus, spread over 12.5 acres, is located in Faisal Town which is the heart of greater Lahore. The campus consists of three blocks, which with their striking exterior brickwork and magnificent marble domes are a valuable addition to the rich architectural heritage of Lahore. The facilities consist of fully air-conditioned purpose built class rooms equipped with teaching aids, and a number of computing and engineering laboratories.

In addition, a spacious computerized library with over 21,000 books and 57 international journals/ magazines provide students and faculty to have

Moreover, there is an Auditorium, Seminar Hall, Cafeteria, separate Boys & Girls Common Rooms and offices of different students' societies.

The Engineering labs comprise Electronics, Digital Systems, Embedded Controls, Antenna and Microwave, Microprocessors, and Communications Labs. The computing labs consist of database, programming, software engineering, and computer application labs. Latest computers, workstations and services having LINUX and Windows based environments are readily available for the usage of students. The whole campus is fully equipped with high speed Local Area Network and latest wireless hotspots.

access to diverse up-to-date information resources. The library of Lahore Campus is the second library in Pakistan which has its library Catalogue accessible through Library of Congress Gateway. Union Catalogue of the libraries of all the five campuses of the University is also accessible through Library of Congress Gateway, which is first of its kind in whole of South Asia and is a model for library cooperation amongst the Pakistani libraries.

In addition to the University sponsored financial assistance and scholarships, Lahore Campus also receives scholarships for 10 meritorious students from different Boards of Intermediate and Secondary Education and Punjab Information Technology Board.

The campus has facilities for both indoor and outdoor sports which include Football, Volleyball, Badminton, Cricket, Basketball, Lawn Tennis, Table Tennis and Jogging. Off-campus arrangements have been made for Swimming, Rowing and Athletics.

DirectorDr Hamid Hassan

HEC Approved PhD SupervisorPhD (HRM/Finance) University of Tsukuba, Japan (2007)


MSc (Mgt) University of Tsukuba, Japan (2005)MBA (Mgt), QAU, Islamabad (1996)

Lahore Campus

The Lahore campus offers the following degree programs:

FAST-NUCES 69



PhD (Management Sciences)

PhD (Mathematics)

BBA


BS (Civil Engineering)


BS (Data Science)


MBA

MS (Accounting & Finance)

MS (Applied Linguistics)

MS (Civil Engineering)


MS (Data Science)


MS (Mathematics)


PhD (Civil Engineering)


The center for information management and information security headed by Dr. Taimur Bakhshi is involved in undertaking research and development in the broad domains of information management, cyber security and computer networking. The center undertakes work in the following avenues: information systems security consultancy, auditing and advice; software defined infrastructure consultancy, installation and management; Internet of Things (IoT) bespoke security provisioning; behavioural profiling and forensic investigations; academic programmes and staff training in above avenues.

Analysis of Social Media using MapReduce”, Women in Data Science, WinDS, Houston, Texas, USA, 2017.

Big Data Lab provides a platform for conducting research in Data Science and Distributed Computing using the emerging technologies. Nowadays, the volume of data has exploded. Data is power, the massive data along with the effective technique can unravel valuable information. However, processing the enormous amount of data is beyond the capacity of a single processor. The new evolving big data frameworks provides solution for such challenges. The Big Data Lab is equipped with latest cluster computing frameworks and technologies like Hadoop, Map Reduce, Spark, Pig, Hive, HBase, Kafka just to name a few. The Hadoop cluster in the lab is hosted on nine dual core Intel machines. It is installed and managed through the latest Apache Ambari 2.7 stack and contains the latest big data tools and software. The cluster is accessible through LAN within the university campus and provides a platform for the students to carry out research using latest innovative technologies.

Big Data Lab

Center for Information Management and Cyber Security (CIMACS)

Research Centres

· Opinion Mining on Big Data using MapReduce Framework.

· Deep Packet analysis in Software Defined Networks

· Distributed Typicality-based Recommendation System for Apache Spark

· FRSG to develop a Kubernetes operator

· Distributed Simulation using Docker

· Hybrid Recommendation System using Apache Spark Framework

· Distributed algorithms for Machine Learning (kubernetes operators are being used)

· Keyword based personalized Hotel Recommender on Map Reduce.

· Social Event based recommendation system in distributed environment

Lahore Campus

· Exploiting review helpfulness rating on scalable recommendation systems using Apache Spark

· Fuzzy clustering of mixed mode data in Apache SPARK

· for Social Media Photos using Spark

· Personalized User Tag recommender

· SP-CURE, a clustering algorithm developed on Apache Spark to cluster gigantic datasets

· Tag Recommender for Spark, a system for recommending user tags for huge datasets.

Current and Past Projects

· Zareen Alamgir, “Generating recommendations for customers using bipartite graph”, World Conference on Technology, Innovation and Entrepreneurship (WOCTINE), Istanbul University, Istanbul, Turkey, June 2019.

· Zareen Alamgir and Hassan Jamil, “Personalized recommender systems for big data using distributed Spark framework”, World Conference on Technology, Innovation and Entrepreneurship (WOCTINE), Istanbul University, Istanbul, Turkey, June 2019.

· Noshaba Nasir, Kashif Zafar and Zareen Alamgir, “Sentiment

· Zareen Alamgir, Saira Karim and Syed Husnine, “Linear algorithm for generating c-isolated bicliques”, International Journal of Computer Mathematics, Vol 94, Issue 8, pp 1574 – 1590, 2017.

Recent Publications

Current & Past Projects

· Social engineering vulnerabilities

· Securing the Internet of Things (IoT)

· Fault-Tolerance in Software Defined Networks

· Intelligent Healthcare Management

· Forensic of Things

· User behaviour profiling

· IoT for Smart Cities

· Android platform security:

· Ransomware detection and mitigation

· Securing software defined networks

Further information about these projects is available on the centre website: www.cimacs.org

FAST-NUCES70

Research Centres

Recent Publications

· Taimur Bakhshi, “Securing Software Defined Networks: On Feasibility of Network Behaviour Profiling”. International Conference on Latest trends in Electrical Engineering & Computing Technologies, Karachi, Pakistan; 11/2019.

· Taimur Bakhshi, Ibrahim Nadir, “On MOS-Enabled Differentiated VoIP Provisioning in Campus Software Defined Networking”. 15th International Conference on Emerging Technologies 2019 (ICET'19), Peshawar, Pakistan; 12/2019.

· Taimur Bakhshi, Saman Shahid, “Securing Internet of Bio-Nano Things: ML-Enabled Parameter Profiling of Bio-Cyber Interfaces”. 22nd IEEE International Multi Topic Conference 2019, Islamabad, Pakistan; 11/2019.

· Sarah Tahir Bokhari, Taimur Bakhshi, Tehreem Aftab, Ibrahim Nadir, “Exploring Blockchain-Secured Data Validation in Smart Meter Readings”. 22nd IEEE International Multi Topic Conference 2019, Islamabad, Pakistan; 11/2019.

· Asif Ali, Kashif Zafar, Taimur Bakhshi, “On Nature-Inspired Dynamic Route Planning: Hammerhead Shark Optimization

· Hussein Oudah, Bogdan Ghita, Taimur Bakhshi, Abdulrahman Alruban, and David J. Walker, “Using Burstiness for Network Applications Classification,” Journal of Computer Networks and Communications, vol. 2019, Article ID 5758437, 10 pages, 2019.

· Hussein Oudah, Bogdan Ghita, Taimur Bakhshi, “A Novel Features Set for Internet Traffic Classification using Burstiness”. 5th International Conference on Information Systems Security and Privacy; Prague, Czech Republic; 02/2019.

· Taimur Bakhshi, “Forensic of Things: Revisiting Digital Forensic Investigations in Internet of Things”. 4th International Conference on Emerging Trends in Engineering, Sciences & Technology, Karachi, Pakistan; 12/2019.

Algorithm”. 15th International Conference on Emerging Technologies 2019 (ICET'19), Peshawar, Pakistan; 12/2019.

MInG – Machine Intelligence Group was established in FAST- NUCES in 2004. The main objectives of this research group are to conduct research in cutting edge technologies and bridging the gap between academia and industry. The main research focus is on: Optimization techniques, Data science, Multi-agent systems, Expert systems, Machine learning, Block-chain technology, Internet of things, Healthcare solutions, Robotics, Machine vision, Intelligent transportation systems, Data mining, and other such areas in artificial intelligence domain. MInG has published more than hundred research articles in international conferences and journals. The research team consists of FYP, MS and PhD Thesis students, along with faculty members and industrial partners. The group has been working in cutting edge technologies to solve real world problems. Co-founders consist of Dr. Rauf Baig, Dr. Kashif Zafar and Dr. Usman Shahid.

Machine Intelligence Group (MInG)

· Knowledge Based Expert System for Stock Exchange

· Dimensionality Reduction using Machine Learning

· Neural Fuzzy Expert System for Taxation Department

· Interactive Car Racing Tracks Generation using Evolutionary Techniques

· A. Naseer, K. Zafar, “Meta Features-based Scale Invariant OCR Decision Making using LSTM-RNN' 'Computational and Mathematical Organization Theory' SPRINGER, 2018 (ISSN: 1572-9346- Impact Factor: 0.769).

· H. Tufail, K. Zafar, A. R. Baig, “Relational database security using digital watermarking and evolutionary techniques”. Computational Intelligence, 35(4): 693-716 (2019)

· N. Saleem, K. Zafar, A. Fatima, “Enhanced Feature Subset Selection using Niche Based Bat Algorithm” Computation; MDPI, (2079-3197); ISI-indexed 2019

· S. Javed, K. Zafar, “Player Profiling and Quality Assessment of Dynamic Car Racing Tracks using Entertainment Quantifier” Computational Intelligence; Wiley (ISSN: 1467-8640; SCI-E, IF: 0.964).

· U. Abdullah, A. Ligeza, K. Zafar, "Performance Evaluation of Rule-Based Expert Systems: An Example from Medical Billing Domain", Expert Systems; Wiley (ISSN: 1468-0394; SCI-E, IF: 1.15).

· N. Qamar, F. Batool, K. Zafar, “"Efficient Effort Estimation of Web based Projects using Neuro-Web" International Journal of Advanced and Applied Sciences; (ISSN: 2313-626X, ISI-indexed 2018)

· M. Naz, K. Zafar, A. Khan, “Ensemble Based Classification of Sentiments using Forest Optimization Algorithm” Data; MDPI, (ISSN 2306-5729); ISI-indexed 2019

Recent Publications

· Cancer Classification using Microarray

· Road Sign Detection using Deep Learning

· Stroke Detection using Machine Learning

· Dynamic Route Planning using Computational Intelligence techniques

Past Projects

FAST-NUCES 71

· A. Naseer, K. Zafar, “Comparative Analysis of Raw Images and Meta Feature based Urdu OCR using CNN and LSTM” “International Journal of Advanced Computer Science and Applications” Vol.9, NO.1. (ISSN: 2156-5570, ISI-indexed 2018)

· H. Tufail, K. Zafar, A. R. Baig, “Digital Watermarking for Relational Database Security using mRMR based Binary Bat Algorithm” International Workshop on Privacy, Security and Trust in Computational Intelligence, IEEE TrustCom, August 2018, New York, USA

Software Research Engineering Centre is dedicated to conducting research and development in various facets of software engineering. The centre has been established to promote theoretical research in the software engineering area, resolve problems faced by the software industry, and help establish software engineering practices in the industry. Through the establishment of the SERC, the University seeks to help and support the local software industry in establishing and improving their processes and practices through continuous feedback and training. SERC aims to achieve these objectives by collecting the industry data to understand productivity, cost, and quality parameters. This will hopefully also help in developing more suitable process and lifecycle models for different types of projects being undertaken by our local industry in the offshore and distributed environment. In the past, this Centre has arranged many seminars and workshops in the software engineering domain to encourage and promote academia-industry collaboration. Current research focuses on areas such as empirical software engineering,

Software Engineering Research Centre (SERC)

The Optical Wireless Research Center (OWRC) has been established to stream-line, the on-going research in the domain for the last decade at the Department of Electrical Engineering. The Department of Electrical Engineering has graduated around a dozen MS thesis students and a doctoral candidate in the domain and has actively participated in theoretical investigations in Visible Light Communications (VLC), LiFi, Optical MIMO systems and Shannon capacity evaluations for Optical Wireless Relay channels. The center aims at further theoretical studies in the domain of Communications Engineering in general and optical wireless communications in particular and is also active in pursuing research grants for the same. Two PhD faculty members are actively involved in supervising the on-going MS and PhD research thesis being investigated at the center.

Optical Wireless Research Centre (OWRC)

The Energy Research Lab has been established within the Electrical Engineering Department. The theme of the research at Energy Lab is to discover the right approach and technologies for a “Smart Power Grid” that integrates distributed renewable generation and solves power quality issues specific to the developing nations.

Energy Research Lab

Lahore Campus

software cost estimation, software project management, and requirements engineering.

· DISC – Design using integrated software chips

· Development and analysis of a new Object to Relational Mapping technique

· Mining code repositories for automatic detection of bad smells in the code

· Small - Separated Modelling and Language for meta-modelling

· An Empirical Study to Analyse the Impact of Testing and Code Inspections on Overall Productivity

Sample Past Projects

· Humaira Aslam Chughtai, Zeeshan Ali Rana, People Profile Metrics for Improved Classification of Defect Prone Files in Open Source Projects, In Proceedings of the 3rd International Conference on Advancements in Computational Sciences (ICACS 2020), 17 - 19 February 2020, Lahore, Pakistan

· Shahzad Ali and Zeeshan Ali Rana, “Evaluating Performance of Software Defect Models Using Area Under Precision-Recall Curve (AUC-PR)”, 2nd International Conference on Advancements in Computational Sciences (ICACS 2019), February 2019, Lahore – Pakistan.

· Nosheen Qamar and Ali Afzal Malik, “Birds of a Feather Gel Together: Impact of Team Homogeneity on Software Quality and Team Productivity”, IEEE Access, Volume 7, Issue 1, July 2019.

· Nosheen Qamar and Ali Afzal Malik, “Evaluating the Impact of Pair Testing on Team Productivity and Test Case Quality – A Controlled Experiment”, Pakistan Journal of Engineering and Applied Sciences, Volume 25, July 2019.

Recent Publications

FAST-NUCES72

PhD students enrolled at FSM are conducting research on related themes. Frequent seminars facilitate sharing of ideas and updates. The findings from the theoretical and empirical research conducted at CRMG are expected to provide guidelines to deal with the management and governance challenges of public and private sector organizations in Pakistan. Some of the recent results of research endeavours at CRMG are as following.

CRMG is established by FAST School of Management, Lahore Campus (FSM) for motivating research on the art and practice of management and governance in Pakistan. The centre is jointly run by Dr Hamid Hassan, Dr Zafar Iqbal, Dr. Zia Khan and Dr Akbar Azam.

Centre for Research on Management and Governance (CRMG)

The Case Research Centre (CRC) at FAST School of Management (FSM), Lahore engages both faculty and students in case research and writing. There is a dearth of business cases related to Pakistani businesses and local business schools have to rely on foreign cases for teaching. The centre will be instrumental in developing local cases as well as bridging the gap between foreign and local cases. The centre will be a forum for interaction between students, faculty, and the industry.The mission of CRC is to motivate researchers to publish business cases and subsequently increase both the quality and the quantity of case research. Mr. Hassan Mahmood (Asst. Professor) is coordinating the academic and administrative activities related to the centre. He has sound experience of working with multinationals in the telecom sector in Pakistan and has also worked abroad. All submissions to the CRC are peer reviewed by doctoral faculty members to ensure quality of submissions.

Case Research Centre

Research Centres

· Iqbal, Z and Hassan, H 2018, “Blowing the Whistle on the Whistle Blowing Laws in South Asia”, Society for Interdisciplinary Business Research Conference on Revisiting Business and Economic Issues from Interdisciplinary Perspectives held on July 5-6 at Osaka (Japan).

· Atif, MM, Nazir S. Abdullah, S. M. (2017), Antecedents of organizational performance in challenging business environments : The role of employee commitment and supply chain integration, Business and Economic Review, 9(4), pp 65-82.

· Iqbal, Z, Hassan, H & Arshad, B, (2017). Incorporating Ethical Sensitivity in Business Education, Exploring Leadership and Learning Theories in Asia (ELLTA 2017), AIT Bangkok, Thailand.

· Hassan, H., Kazmi, S & Hoshino, Y., (2017) "A Holistic Approach to Career Path Guidance” 9th International Conference on Business, Management, Law and Education (BMLE-17) scheduled on Dec. 14-15, 2017 at Kuala Lumpur (Malaysia).

· Iqbal, Z. & Hassan, H., (2017) Managing Difficult Transitions in a Fragile State: The Case of Pakistan, the 24th Annual Australian Association for Professional & Applied Ethics (AAPAE) Conference, University of Technology, Sydney, (Australia). Co-authored with Iqbal Z. (2017).

· Azam, A., Boari, C., Bertolloti, F., (2018) "Top management team international experience and strategic decision-making", Multinational Business Review, 26(1), pp. 50-70.

· Iqbal, Z., (2018) “Evaluating Whistle- blowing Regime in Pakistan”, Fourth Annual ICGS Conference on Navigating Corporate Governance in Emerging Markets held on October 13 at Fudan University, Shanghai (China).

· Iqbal, Z., Zafar, M., (2019) “Fake News as an Instrument of Hybrid War”, International Conference on Fake News & Facts in Our Region organized by the Institute of Regional Studies on April 24-26, 2019 at Islamabad (Pakistan).

· Iqbal, Z (2018), “Ethical Foundations of Governance, Economic Stability and Crisis in Islam”, 10th Int'l Symposium on Islam and Economics held on 8-9 December 2018 at Istanbul University (Turkey).

· Faculty training activities on case analysis, writing, and case pedagogy

· Development of a case study on business strategy using mathematical modelling and decision analysis techniques for a major investment

· Conversion of selected student Final Year Projects (FYPs) into 'working case series' for future development into publishable cases.

Current and Past Projects

FAST-NUCES 73

· Students' Perceptions of the Effectiveness of Formative Assessment and Feedback for Improvement of the English Writing Composition Skills: A Case Study of Secondary Level ESL Students of Private Schools in Lahore. (2019)

· Famous Social Media Application and Use of Hashtags in Pakistani Context. (2018)

· Developing a Prototype to Translate Text and Speech to Pakistan Sign Language with Bilingual Subtitles: A Framework. (2018)

· Effectiveness of Data Driven Instructional Methodology for Formative Assessment of English Writing Composition Skills – A Case Study (2018)

The Centre provides support to students in improving their English language communication skills. To realize the individual needs of a student, the Centre facilitates through individual tutorials, by providing self-study material, by conducting workshops and intensive English classes, and through faculty outreach programs by taking a variety of support initiatives effort is made to enable a student to improve grasp, make progress, and even excel in the language. The main thrust is on capacity-building for learning and expressing. The idea is that students who are otherwise capable of doing well but for the weak communication skills should not suffer because of their previous insufficient training.The Centre aims at improving proficiency in communicative English, written as well as spoken. This activity has a spill over effect of improving the student's work in other subjects. The idea is to develop communication skills of students and also to help them become good professionals. The Centre purports to carry research activity on issues related to language teaching and learning.

Centre for English Language Communication (CELC)

Lahore Campus

Liberty lab aims to put together and apply the knowledge gained from diverse areas of expertise including robotics, embedded systems and artificial intelligence, to engineer out-of-the-box solutions that practically solve the problems faced by the local society. Research is done to make robots that can achieve autonomous behaviour. Problems of localization, mapping, navigation and image processing in robots are explored. Control algorithms on ground and air robots are developed to improve the navigation capabilities of such robots. The goal is to make autonomous mobile and industrial robots, and induce learning and long-term autonomy in them. This lab achieves its aims via projects at both graduate and undergraduate levels.

Liberty Lab

· Personal Assistant for Elderly (PIE)

· Spy Copter

· Visual Guidance for Navigating UAV

· Indoor Navigation Systems

· Bionic hand· Object fetching Robot

· Multi-Hop DTN Based Phone to Phone Communication

· Obstacle detection and object recognition robot

· Home automation system

Completed FYPs

· Smart Student Monitoring System

· Security Audit Tool for IOT devices

· Mobility Modelling for Fully Autonomous Micro UAVs in Urban Traffic Surveillance Scenario

Research Areas and Ongoing Projects

Tool for Improvement of Cohesiveness in Emotive Writing, funded by ICT R &D.

E-Learning Project

· Developing a Prototype to Translate Pakistan Sign Language into Text and Speech While Using Convolutional Neural Networking (2019)

· The Importance of English Phrasal Verbs Use in the Business Writing-A Qualitative Analysis of Perceptions of Non-native Business Students in Pakistan. (2019)

FAST-NUCES74

MS (Civil Eng.), NUST, Islamabad (2014)

Mr Ali RazaAssistant Professor

BS (Civil Eng.), CECOS, Peshawar (2011)

MPhil (EG), Univ of the Punjab, Lahore (2015)BE (Civil Eng.), SSU, Karachi (2006)

Assistant ProfessorMr Asim Iqbal

Faculty-Lahore

BSc (Civil Eng.), UET, Lahore (1989)

MSc (Civil Eng.), Univ of Windsor, Canada (2012)

Dr Javaid Ahmad Associate Professor & Head of DepartmentPhD (Civil Eng.), Univ of Windsor, Canada (2016)

MEng (Civil), Univ of Windsor, Canada (2009)

HEC approved PhD SupervisorProfessor

M c (Civil Eng.), UET, Taxila, (2005)SMSc (Nuclear Eng.), QAU, Islamabad (2001)

Dr Shahid Ali

PhD (Hydraulics), TU Delft, Netherlands (2013)

B c (Civil Eng.), UET, Taxila (1999)S

Department of Civil Engineering

LecturerMr Haris Hameed

BSc (Civil Eng.), UET, Lahore (2011)MS (Structural Eng.), NUST, Islamabad (2015)PhD (Civil Eng), Univ of Tokyo, Japan (2010)

MSc (Civil Eng.), UET, Lahore (2006)

Dr Mubashir Aziz


Associate Professor

Mr Irfan AliLab EngineerMS (Civil Eng.) NUCES, Lahore (2017)BSc (Civil Eng.), SSUET, Karachi (2013)

Dr Tauqir AhmedAssistant ProfessorPhD (Strct. Eng.), Tokyo Univ, Japan (2012)MSc (Strct. Eng.), Tokyo Univ, Japan (2008)BSc (Civil Eng.), UET, Lahore (2004)

Mr Waqas Ajmal

MS (Civil Eng.) NUCES, Lahore (2018)BS (Civil Eng.), NUCES, Lahore (2015)

Lab Engineer


Assistant ProfessorMSc (Environment), KAIST, S. Korea (2004)

Mr Farhan Arooj

Mr Shahzeb AdilLab Engineer

BS (Civil Eng.), UET, Lahore (2016)MS (Project Mgt), Bahria Univ, Islamabad (2019)

Mr Umar KhanAssistant ProfessorMS (Civil Eng.), Univ of Sheffield, UK (2010)BS (Civil Eng.), NUST, Islamabad (2009)

BS (Civil Eng.), NUCES, Lahore (2016)

Mr Fahad HaseebLab Engineer

Ms Sarah Asif

MS (Envir. Mgmt), Univ of Sheffield, UK (2012)Assistant Professor

BS (Civil Eng.), UET, Lahore (2010)

Mr Shoaib AmeerLab EngineerBS (Civil Eng.), UET, Lahore (2016)

BS (Civil Eng.), UET, Lahore (2006)MSc (Strct Eng.), Bauhaus Univ Germany (2014)

Mr Fahad BashirAssistant Professor

BSc (Civil Eng), UET, Lahore (2017)Lab EngineerMs Saba Arshad

Assistant Professor

BE (Civil Eng.), UET, Lahore (2010)MSc (Civil Eng.), Tech Univ, Germany (2014)

Mr Nasir Tabarruk

FAST-NUCES 75

Mr Zain Ul IslamLab EngineerBS (Civil Eng), NUCES, Lahore (2018)

Mr Ahmad RazaLab EngineerBS (Civil Eng), NUCES, Lahore (2018)

Lab EngineerBS (Civil Eng), NUST, Islamabad (2018)

Mr Muhammad Hafeez

Faculty-Lahore Department of Civil Engineering

FAST-NUCES76

Faculty-Lahore Department of Computer Science

Mr Aamir RaheemAssistant ProfessorMS (CS), NUCES, Lahore (2006)BS (CS), IMS (Pak-AIMS), Lahore (2003)


Ms Sobia TariqAssistant Professor

BS (CS), NUCES, Lahore (2005)

Assistant ProfessorMS (Bioinformatics), Stanford Univ, USA (2009)BS (CS), NUCES, Lahore (2005)

Mr Sarim Baig


Assistant ProfessorMs Ishrat Fatima


MSc (CS), QAU, Islamabad (1995)

Assistant ProfessorMr Ishaq Raza

MS (CS), UCP, Lahore (2013)

Assistant ProfessorMs Samin Iftikhar

MS (CS), NUCES, Lahore (2014)BS (CS), NUCES, Lahore (2006)

MS (CS), Politecnico Di Torino, Italy (2014)

Mr Ibrahim NadirAssistant Professor

BS (CS), UET, Peshawar (2009)


Mr Waqas ManzoorAssistant Professor

BS (CS), Univ of the Punjab, Lahore (2006)

Dr Asif GilaniProfessor

MSc (Comp. Physics), IU, Bahawalpur (1993)PhD (CS), Univ of Patras, Greece (2002)



Dr Saira Karim

PhD (CS), NUCES, Lahore (2013)

Assistant Professor


Dr Maryam BashirAssistant ProfessorPhD (CS), Northeastern Univ, USA (2014)MS (CS), Northeastern Univ, USA (2009)MS (CS), NUCES, Lahore (2007)BS (CS), NUCES, Lahore (2004)

BS (CS), VU, Islamabad (2006)

Dr Haroon MahmoodAssistant ProfessorPhD (CS), Politecnico di Torino, Italy (2014)MS (CE), Politecnico di Torino, Italy (2010)

BS (CS), PUCIT, Lahore (2005)

Dr Usman AwaisAssistant ProfessorPhD (CS), Vienna Univ of Tech, Austria (2015)MS (CS), UAS, Germany (2011)

Dr Taimur Bakhshi

PhD (CS), Univ of Plymouth, UK (2016)Assistant Professor

BE (EE), Univ of AJK, Mirpur (2006)MSc (Networks), Univ of Plymouth, UK (2008)

Dr Mubasher Baig

MS (CS), LUMS, Lahore (2009)

Assistant ProfessorPhD (CS), LUMS, Lahore (2017)

MSc (Math), Univ of the Punjab, Lahore (1996)

Assistant ProfessorDr Amna Khan

MS (CS), UET, Lahore (2013)BSc (Hons), UET, Lahore (2006)

PhD (CS), COMSATS, Lahore (2018)

MS (CS), NUCES, Lahore (2004)PhD (CS), NUCES, Lahore (2019)Assistant Professor


Dr Aamir Wali

PhD (CS), Univ of S. California, USA (2010)

Assistant Professor & Head of DepartmentDr Ali Afzal


MS (CS), Univ of S. California, USA (2007)BS (CS), LUMS, Lahore (2003)

FAST-NUCES 77


Ms Abeeda AkramAssistant ProfessorMS (CS), NUCES, Lahore (2015)

Ms Ammara RafiqueInstructor BS (EE), UET, Lahore (2013)

Mr Asad Ullah

BS (SE), PUCIT, Lahore (2016)Instructor

InstructorBS (CS), NUCES, Lahore (2016)

Mr Saad Farooq

InstructorBS (CS), NUCES, Lahore (2017)

Mr Muhammad Saddam

InstructorMs Hamna Waseem


Assistant Professor

BS (EE), UET, Lahore (2011)MS (CS), NUCES, Lahore (2016)

Ms Noshaba Nasir

MS (CS), Information Tech Univ, Lahore (2019)LecturerMs Aamina Batool


Mr Muhammad Hamza


LecturerMS (CS), Technische Univ, Germany (2019)

BS (CS), NUCES, Lahore (2007)MS (CS), NUCES, Lahore (2020)LecturerMs Farrah Munir

Mr Shakeel Zafar

MS (CS), NUCES, Lahore (2020)BS (SE), PUCIT, Lahore (2016)

Lecturer

MSc (Electronic Eng.), Univ of Kent, UK (2018)Instructor


Mr Usman Khan

Faculty-Lahore Department of Computer Science

FAST-NUCES78

Dr Kamran Lodhi

PhD (CS), Univ of Illinois, Chicago, USA (2016)Assistant Professor


Mr Bismillah JanLecturerMS (CS), PIEAS (2017)BS (CS), NUCES, Peshawar (2015)

Faculty-Lahore

Professor & Coordinator HEC approved PhD SupervisorPhD (CS), NUCES, Islamabad (2010)MS (CS), CUNY, USA (2002)

Dr Kashif Zafar

BSc (Engg.), UET, Lahore (1999)

Dr Zareen Almgir



PhD (CS), NUCES, Lahore (2014)

Assistant Professor


Department of Data Science

MS (CS), Information Tech Univ, Lahore (2018)Lecturer

BS (IT), Univ of the Punjab (2014)

Mr Muhammad KamranDr Irfan Younas

PhD (CS), KTHR Inst of Tech, Sweden (2014)MS (SE), KTHR Inst of Tech, Sweden (2009)

Assistant Professor

BIT, NUST, Islamabad (2004)


Mr Farooq AhmadAssistant Professor



Mr Amir Iqbal

BCS, Univ of the Punjab, Lahore (2005)

Assistant ProfessorMS (CS), NUCES, Lahore (2007)

MS (CS), NUCES, Lahore (2010)BS (CS), NUCES, Lahore (2008)

Ms Lehmia KiranAssistant Professor

Dr Umair Ahmed

PhD (CS), Queen's Univ, Kingston, Canada (2014)


Assistant Professor

MCS, Dresden Univ of Tech., Germany (2001)

Dr Zeeshan AliAssistant Professor & CoordinatorPhD (CS), LUMS, Lahore (2016)MS (CS), LUMS, Lahore (2006)MS (CS), UCP, Lahore (2004)BS (CS), PICS, Lahore (2002)

MS (CE), Northeastern Univ, Boston, USA (1992)Assistant Professor

BS (EE), Tennessee Stat Univ, USA (1990)

Mr Waqas Zyad

FAST-NUCES 79

Mr Haris MujtabaAssistant ProfessorMS (Comm.), Hamdard Univ, Karachi (2009)BS (EE), SSUET, Karachi (2003)

MS (TE), NUCES, Lahore (2010)BSc (EE), UET, Lahore (2004)

Assistant ProfessorMr Mohsin Yousuf

Faculty-Lahore

MSc (Nuclear Engg), QAU, Islamabad (1987)MSc (EE) Loughborough Univ, UK (1992)


Professor & Head of DepartmentPhD (EE) Loughborough Univ, UK (1995)

Dr Amjad Hussain

Dr Aun Abbas

ME (EE), Carleton Univ, Canada (1994)BSc (EE), UET, Lahore (1988)

ProfessorPhD (EE), Carleton Univ, Canada (1997)


BS (TE), NUCES, Lahore (2008)MS (TE), NUCES, Lahore (2011)Assistant ProfessorMs Beenish Fatima

BE (EE), UET, Lahore (2001)MS (EE), UET, Lahore (2003)

Dr S. M. SajidProfessor HEC approved PhD SupervisorPhD (EE), Graz Univ of Tech, Austria (2007)

Assistant ProfessorMS (TE), NUCES, Lahore (2012)BS (TE), NUCES, Lahore (2008)

Ms Bushra RashidHEC approved PhD Supervisor


Professor

MSc (EE), UET, Lahore (2006)PhD (EE), UET, Lahore (2011)

Dr Saima Zafar

BS (CE), NUCES, Lahore (2009)

Assistant ProfessorMS (EE), NUCES, Lahore (2012)

Ms Tooba Javed

PhD (Mechanical), ENSAM, France (2010)Assistant ProfessorDr Kashif Saeed

MS (Mechanical), ENSAM, France (2006)BS (Mechanical), UET, Lahore (2002)

Ms Maimoona Akram

MS (EE), NUCES, Lahore (2013)Assistant Professor

BS (CE), NUCES, Lahore (2008)

BS (TE), NUCES, Islamabad (2007)

Dr Usman Shahid

HEC approved PhD SupervisorAssistant Professor

PhD (E&CE), Politecnico Di Torino, Italy (2014)MS (EE), Politecnico Di Torino, Italy (2010)

Mr Abdul Majid

MSc (EE), UET, Lahore (2005)BSc (EE), UET, Lahore (1996)

Assistant ProfessorPhD (RS) SFIT, ETH Germany, (2018)MSc (TE), KIT, Germany & UPC, Spain (2010)BE (Electronics), NUST, Islamabad (2007)

Assistant ProfessorDr Adnan Siddique

Ms Tamania JavaidAssistant ProfessorMSc (EE), UET, Lahore (2008)BSc (EE), UET, Lahore (2003)

Assistant ProfessorMS (Computer Engg), Syracuse Univ, USA (1990)

Mr Kamran Jamal



Assistant ProfessorMr Omer Saleem

MSc (EE), UET, Lahore (2014)MS (IT), Univ of Melbourne, Australia (2006)

Ms Shazia Haque


Assistant Professor

FAST-NUCES80

MSc (EE), UET, Taxila (2019) BSc (EE), UET, Lahore (2016)

Mr Muhammad MuzaffarLab Engineer

BS (TE), NUCES, Lahore (2009)

Ms Samia MahmoodLecturerMS (EE), NUCES, Lahore (2012)

Mr Umar BashirLab EngineerBS (EE), NUCES, Lahore (2016)

LecturerMS (EE), UMT, Lahore (2014)

Ms Akbare Yaqoob


BS (EE), NUST, Lahore (2017)

Mr Hamza YousufLab EngineerLecturer

BS (TE), NUCES, Karachi (2009)

Ms Sara Kiran

MS (EE), NUCES, Lahore (2015)


Mr Zeeshan AsifLab Engineer

MS (EE), Univ of Manchester, UK (2015)BE (EE), Univ of Nottingham, UK (2014)

LecturerMr Muhammad Ismail

Mr Muhammad Khizer

BS (EE), UET, Lahore (2018)Lab EngineerLecturer


Ms Aroosa Umair

MS (EE), NUCES, Chiniot-Faisalabad (2017)

Lab EngineerBS (EE), NUCES, Lahore (2018)

Mr Yousuf RehmanMr Waheed Faraz

MS (EE), NUCES, Lahore (2017)BS (EE), NUCES, Lahore (2015)

Lecturer

Lab EngineerMr Shahroze Liaquat

BS (EE), UET, Lahore (2018)LecturerMS (EE), NUCES, Lahore (2018)BSc (EE), UET, Lahore (1999)

Ms Shazia Ahmed

Ms Saba ZahidLab EngineerBSc (EE), UET, Lahore (2018)

Mr Faisal AbbasLab EngineerMS (EE), NUCES, Lahore (2017)BS (EE), NUCES, Lahore (2014)

Faculty-Lahore Department of Electrical Engineering

FAST-NUCES 81

Assistant ProfessorMr Aamer Allauddin

Chartered Certified Accountant(FCCA), UK (1988)

Mr Shahid MalikAssistant Professor

BS (BA & Mkt), Missouri State Univ, USA (1993)MS (MG), Missouri State Univ, USA (1998)

Faculty-Lahore

BSc (Mining), UET, Lahore (1985)

PhD (MG), Univ of Sth. Australia, Australia (2004)Professor & Head of DepartmentDr Zafar Iqbal

MSc (MG) Imperial College, UK (1987)

PhD (Fin/HRM), Univ of Tsukuba, Japan (2007)MSc (MG), Univ of Tsukuba, Japan (2004)

Dr Hamid HassanProfessor & DirectorHEC approved PhD Supervisor

MBA (MG & Fin), QAU, Islamabad (1996)


Mr Salman Khalil Adjunct FacultyMBA, Western Michigan Univ, USA, (2005)MBBS, Lagos Univ, Nigeria (1984)

Assistant Professor

Dr Muhammad AtifHEC approved PhD Supervisor

MBA, Univ of Peshawar (2001)PhD (MG), Massey Univ, New Zealand (2014)

Assistant ProfessorMr Hassan Mahmood

MBA, LUMS, Lahore (2005)BS (ME), GIKI, Topi (2001)

HEC approved PhD SupervisorPhD (MG), Univ of Bologna, Italy (2015)

MBA, Univ of the Punjab, Lahore (2001)

Assistant Professor

MS (IB&Eco), Univ of Hamburg, Germany (2005)

Dr Akbar Azam


Assistant ProfessorMBA, NUCES, Lahore (2009)

Ms Fatima Omer

MS (MG), CIIT, Lahore (2012)

Dr Zia UllahAssistant Professor PhD (Marketing), AIT, Thailand (2015)

MBA, BZU, Multan (2008)

MBA (Mkt), Univ of the Punjab, Lahore (2010)

Mr Muhammad Ali

BS (CS), UET, Lahore (2004)

Assistant Professor

MBA, LUMS, Lahore (2010)

Mr Ammar Javed

BS (IT), NUST, Islamabad (2006)

Assistant ProfessorDr Mujahid HussainAdjunct Assistant ProfessorPhD (MG), NUCES, Lahore (2018)MS (Military Science), Peshawar Univ (2013)MPhil (MG), Qurtuba Univ, D.I.Khan (2011)EMBA (HR), Preston Univ, Kohat (2009)

Teaching FellowMr Shakeel Ahmad

ACMA, Pakistan (2001)ACSI, UK (2010)CFA, USA (2011)

Dr Talha SalamAssistant ProfessorPhD (MG), Univ of Brunei Darussalam (2019)MBA, IBA, Karachi (2005)BE (Civil), NUST, Islamabad (2000)

BBA (Hons), IMS, Peshawar, (2008)MBA (Mkt), Univ of Canberra, Australia (2012)

Mr Bilal SaeedAssistant Professor

MS (MG), SZABIST, Karachi (2012)MBA, Islamia Univ, Bahawalpur (2010)

PhD (MG), Univ of Paris, France (2019)

Dr Asif SaeedAssistant Professor

FAST-NUCES82

MS (MG), SZABIST, Karachi (2012)PhD (EDLE), University of Bologna, Italy (2017)HEC Approved PhD Supervisor

MBA, NUML, Islamabad (2009)

Dr. Ahmed ArifAssistant Professor

Mr Sheraz MalikAdjunct Lecturer MA (Economics), New York Univ, (2014)BA, Franklin & Marshal College, Lancaster (2009)Chartered Certified Accountant(ACCA),UK (2005)

Assistant Professor

B.Com, Univ of the Punjab, Lahore (1997)

Mr Sheikh Raheem

MBA (Finance), NUCES, Lahore (2015)

Mr Umer FarooqLecturerMSC (A&F), Manchester Metropolitan Univ (2014)BS (App. Acct.), Oxford Brooks Univ, England (2011)Chartered Certified Accountant (ACCA), UK (2010)MBA, IMS, Lahore (1997)

Mr Farrukh Jamil

MS (A&F), NUCES, Lahore (2019)Lecturer

Chartered Certified Accountant(FCCA), UK (2008)

MBA, NUCES, Lahore (2015)LecturerMs Beenish Arshad


LecturerMs Fatima Saif

BS (Economics), LCWU, Lahore (2010)MPhil (Economics), Univ of the Punjab, Lahore (2012)


Ms Aroosa SafdarInstructorMBA, NUCES, Lahore (2017)

LecturerMs Fatima Habib

MS (Business & IT), Univ of the Punjab, Lahore (2014)BS (Business & IT), Univ of the Punjab, Lahore (2012)

Adjunct LecturerMSc (A&F), Durham Univ, UK (2012)CFA (Finance), CFA Institute, USA (2011)

Mr Muzammil Iqbal

BSc (A&F), LUMS, Lahore (2009)

Faculty-Lahore FAST School of Management

FAST-NUCES 83

Assistant ProfessorMPhil (Math), QAU, Islamabad (2007)MSc (Math), QAU, Islamabad (2005)

Ms Hina Firdous

Dr Saeeda ZiaAssistant ProfessorPhD (Math), NUCES, Lahore (2020)MS (Math), NUCES, Lahore (2008)MSc (Math), Univ of the Punjab, Lahore (2000)

Faculty-Lahore

Professor, Dean & Head of Department

MPhil (Math), GCU, Lahore (2003)MSc (Math), GCU, Lahore (2001)

Dr Akhlaq Ahmad

PhD (Math), GCU, Lahore (2007)

MSc (Math), Rajshahi Univ, Bangladesh (1968)PhD (Math), Univ of Heidelberg, Germany (1976)ProfessorDr Syed M. Husnine

Department of Sciences and Humanities

BS (Math), Univ of the Punjab, Lahore (2008)

Assistant Professor Ms Tayyaba Naz

MS (Math), NUCES, Lahore (2012)MPhil (Math), QAU, Islamabad (2000)MSc (Math), QAU, Islamabad (1998)

ProfessorDr Mazhar Hussain

PhD (Math), QAU, Islamabad (2008)

MS (Math), NUCES, Lahore (2012)Assistant Professor

BS (Math), Kinniard College, Lahore (2010)

Ms Hira IqbalDr Summaira Sarfraz

MS (Applied Linguistics), UMT, Lahore (2008)

Professor

MA (Eng Lit.), Kinnaird College, Lahore (1991)MA (ELT), Kinnaird College, Lahore (1999)

PhD (English), AJK Univ, Muzaffarabad (2014)

MSc (Psych), Univ of the Punjab, Lahore (1988)

Ms Raheela TariqAssistant ProfessorMPhil (Applied Psychology), BNU, Lahore (2013)

Associate Professor

MPhil (Physics), GCU, Lahore (2003)PhD (Env. Sci), Univ of the Punjab, Lahore (2015)

MSc (Physics), GCU, Lahore (1999)

Dr Saman Shahid

Mr Zulfiqar AliAssistant ProfessorMPhil (Appl. Linguistics), UMT, Lahore (2013)MA (Eng Lit.), Univ of the Punjab, Lahore (1991)

PhD (Math), NUCES, Peshawar (2018)Associate ProfessorDr Mubashir Qayyum

MS (Math), NUCES, Peshawar (2009)MSc (Math), Univ of Peshawar (2003)

MA (ELT), Univ of the Punjab, Lahore (2007)MA (English Lit.), LCWU, Lahore (2005)

Assistant Professor MS (Applied Linguistics), NUCES, Lahore (2017)

Ms Hajra IkramDr Zahida Mansoor


MS (Applied Linguistics), UMT, Lahore (2008)MA (English), Kinnaird College, Lahore (2000)

Assistant Professor

PhD (English), AJK Univ, Muzaffarabad (2015)

MA (Eng Lit.), Univ of the Punjab, Lahore (1987)

MPhil (English), BNU, Lahore (2014)MA (TESL), BNU, Lahore (2010)

LecturerMs Falaknaz Zia

MPhil (Math), Univ of the Punjab, Lahore (2009)

Assistant ProfessorDr Farasat Shamir

BE (Mechanical Eng.), UET, Lahore (2002)

PhD (Math), NUCES, Lahore (2015)

MSc (Govt. & Org. Sci), NUML, Islamabad (2008)Mphil (Pak. Studies), QAU, Islamabad (2013)

Mr Abdul SattarLecturer

MA (English), GCU, Lahore (2002)

Ms Faiza Dar

MPhil (English), GCU, Lahore (2005)Assistant Professor

FAST-NUCES84

Department of Sciences and Humanities

MA (English), Univ of the Punjab, Lahore (1996)

LecturerMr Razm Ul Zafar

MPhil (App. Ling), UMT, Lahore (2017)LecturerMphil (English), Kinnaird College, Lahore (2013)

Ms Ayesha Saeed

LecturerMr Hamza Janjua

MPhil (Islamic Studies), LLU, Lahore (2017)MA (Islamiat), Univ of the Punjab, Lahore (2001)

MPhil (History), GCU, Lahore (2014)MSc (Pak. Studies), QAU, Islamabad (1998)

Mr Tahir RashidLecturer

MSc (Stats), Univ of the Punjab, Lahore (2010)MPhil (Stats), Univ of the Punjab, Lahore (2014)LecturerMs Sarah Ahmad

Faculty-Lahore

FAST-NUCES 85

Peshawar campus

FAST-NUCES86


The campus has highly qualified, fully committed and professionally stimulated faculty which brings academic excellence to the university. The faculty possesses excellence in teaching competence, along with being fully synchronized and geared up, to instruct and embrace up-to-date progress and developments in science and technology. The faculty excels in their domain; being accomplished researchers, contributors, and developers in their fields of endeavor.

Engineering laboratories that have the latest equipment. The engineering labs comprise of

Peshawar campus has all the physical facilities that a modern educational institution should have. It has an excellent Intranet facility with a site for the students to inform them about their class attendance, grades, and other academic information. Internet facility is provided throughout the campus through high-speed WI-FI internet connectivity along with LAN ports. The campus has fully air-conditioned, multi-media installed classrooms and lecture theaters, two halls, a library and Computer/

The Peshawar campus was established in 2001. It is housed in a purposed built impressive building. Upon entering the thoroughfare, the magnificent red-bricked building catches the attention of every spectator. From outside one might not expect the lush green lawn but once into the campus, there is a distinct flora which campus presents. Given the nature of the campus, its indoor abode is tranquilly giving a soothing medium of focus.

Communication Lab, Antenna Lab, Electronics Lab,Digital/Microprocessor Lab, Digital Signal Processing Lab, Final Year Project (FYP) Lab, Power System Lab, Control System Lab, Electrical Machine Lab, Power Electronics Lab, Skill Development Lab, Workshop and Computer-Assisted Language (CAL) Lab.

Electrical Engineering Program of the Peshawar campus has the distinction of being one of the first campuses of NUCES and among a few in the KP region that is accredited by Pakistan Engineering Council (PEC) on the basis of Outcome-Based Education (OBE). Undergraduate programs are offered in Computer Science, Electrical Engineering and Software engineering. In addition, the campus offers MS and Ph.D. programs in Computer Science, Electrical Engineering and Data Science. Graduates of the campus are well-received by the industry and hold prominent positions in many national and multinational corporations.

The library has a collection of over 15,800 books and subscribes to 28 journals, magazines and newspapers. It has computers for students to do online searches for study materials. The facility for connecting to HEC digital library is available, which provides access to many international and local journals, and other research-related materials. The library of Peshawar campus has the distinction of being one of the first libraries in the province to be computerized. Moreover, the whole campus is fully equipped with high-

DirectorDirector & Associate ProfessorDr Muhammad Tariq

PhD (CE), Waseda Uni. Japan (2012)

BS (CSE), UET, Peshawar (2006)MS (ECE), Hanyang Uni. S. Korea (2009)

Peshawar Campus

The Peshawar campus offers the following degree programs:

speed Local Area Network and the latest wireless hotspots.

The campus provides state of the art facilities in academic as well as extra-curricular activities, Spacious and well-equipped computer and engineering labs impart a practical orientation to the students in their respective areas of study. Audio-visually supported and well-furnished classrooms offer a favorable and constructive learning environment to the students. In addition to the university-sponsored financial assistance and scholarships, Peshawar campus also receives scholarships for meritorious students. Moreover, for co-curricular and extra-curricular activities, there is a number of societies/clubs for students where they can learn and exhibit their talents.





MS (Data Science)




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8. Ur Rehman H.*, Azam N., Yao J., Benso A., "A Three-way Approach for Protein Function Classification.", PLOS-ONE, 2017, ISSN: 1932-6203. (Impact Factor 2.77)

7. Ur Rehman H.*, Bari I., Ali A., Mahmood H., "A Bayesian Approach for Estimating Protein–protein Interactions by Integrating Structural and Non-structural Biological Data.", Molecular BioSystems, 2017, ISSN: 1742-206X. (Impact Factor 2.78)

Graphic Symbol Recognition Methods", Multimedia Tools and Applications, 2017, ISSN: 1380-7501. (Impact Factor 1.54)

9. N. Azam, Y. Zhang, and J.T. Yao, Evaluation Functions and Decision Conditions of Three-way Decisions with Game-theoretic Rough Sets, European Journal of Operational Research, Vol. 261, Issue. 2, Pages 704-714, 2017, (Impact Factor 3.42)

The scope of research carried out at the campus spans Artificial Intelligence, Machine Learning, Bioinformatics, Image Processing, Power System State Estimation, Power System Monitoring and Control, Power Converter Design, Prototyping and Control, Micro Grids, Smart Grids, Internet of things, Antenna Design, Optimal Control, Wireless Communication, amongst others.

Selected Research Publications:

2. Ur Rehman H.*, Habib U., et al. “Identification of Yeast's Interactome using Neural Networks”, IEEE Access, vol.7 issue. 1, pp. 179634-179645, 2020, ISSN: 2169-3536. (Impact Factor 4.09)

4. K. M. Afridi, N. Azam, J. T, Yao, and E. Alanazi, A Three-way Approach for Handling of missing Data using GTRS, International Journal of Approximate Reasoning, International journal of approximate reasoning, Vol. 98, Issue. 1, Pages 11-24, 2018, (Impact Factor 2.85)

5. Nauman M., Ur Rehman H.*, Politano G., Benso A., "Beyond Homology Transfer: Deep Learning for Automated Annotation of Proteins", Grid Computing, pp. 1-13, 2018, ISSN: 1932-6203. (Impact Factor 2.80)

1. M.K. Afridi, N. Azam, J.T. Yao, Variance b Three-way asedClustering Approaches for Handling Overlapping Clusteringi, International Journal of Approximate Reasoning, 118:47-63, 2020.

3. Zhou, N., Jiang, Y., Bergquist, T. R., Lee, A. J., Kacsoh, B. Z., Ur Rehman, H., Crocker, A. W., ... & Davis, L., “The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens.”, Genome Biology, pp. 653105, 2019, ISSN: 1474-760X. (Impact Factor 13.21)

6. Khan I., Islam N., Ur Rehman H., Khan M., "A Comparative Study of

Research Centres

Skill Development Lab

In the world of internationalized operations, the industry wants skilled workers rather than mere subject experts. Therefore, only transferring of engineering knowledge would not help to address the efficacy and quality of engineers in the industry. Skill building or development is a powerful tool to empower engineers to meet industrial requirements. Therefore, Peshawar Campus of NUCES established a lab by the name of Skill Development Lab (SDL) in December, 2019.

Intelligent decision making is important in area for building computerized decision support systems. The research goals of this group are directed toward understanding and building intelligent decision making models for assisting and supporting decision making in different application areas such as image processing, security and bioinformatics. The fundamental issues that are generally encountered in such models are too many options to choose from and involvement of contradictory decision making criteria. The group is actively engaged in utilizing machine learning methods, such as rough sets and granular computing, in inducing rules for complex decision making. One of the main focus areas is three-way decision making, especially when multi-criteria and multi-agents are involved.

Decision Support Systems Group

3. Dr. Mohammad Nauman (Department of Computer Science, NUCES, Peshawar).

Objectives:

2. Dr. Hafeez Ur Rehman

1. Dr. Nouman Azam (Department of Computer Science, NUCES, Peshawar).

(Department of Computer Science, NUCES, Peshawar).

Team Members:

Introduction:

FAST-NUCES88

Research Centres

Research Publications:1. M. Tariq, M. Adnan, G. Srivastava,

and H. V. Poor, “Instability detection and prevention in smart grids under asymmetric faults,” accepted in IEEETransaction on Industry Applications, vol.-, pp.-, Feb. 2020, IF= 3.347

2. M. Kamal and M. Tariq, “Light-Weight Security and Data Provenance for Multi-Hop Internet of Things,” in IEEE Access, vol. 6, pp. 34439-34448,Aug. 2018, IF= 4.08

4. K.S. Khan and M. Tariq, “Wind resource assessment using SODAR and meteorological mast- A case study of Pakistan,” in Renewable and Sustainable Energy Reviews, vol. 81, pp. 2443-2449, Jan. 2018, IF= 10.6

3. M. Tariq and H. V. Poor, “Electricity Theft Detection and Localization in Grid-tied Microgrids,” in IEEE Transactions on Smart Grids, vol. 9 , p p .1920-1929, May. 2018,IF=10.5

1. To provide a pre-incubation platform for BS students where they acquire essential prerequisites to formally join the incubation centers.

2. To develop contemporary hardware and software skills as per industry requirements.

3. To develop entrepreneurial skills to make the students job providers rather than job seekers.

4. Provision of a platform for a liaison between industry and academia on practical grounds.

Objectives:

2. Convener, Mr. Mohsin Kamal, Assistant Professor and PhD Scholar, Electrical Engineering Department.

1. Team Lead, Dr. Muhammad Tariq, Associate Professor, Department of Electrical Engineering.

3. Co-convener, Mr. Usman Abbasi, PhD Scholar and Lab Engineer Department of Electrical Engineering.

Team Members:

NuSyS: National University Systems and Simulations Group

The NuSyS group at Peshawar has been established to promote research activities at Peshawar Campus in a diverse set of emerging disciplines of well-established research areas. The focal strengths of the group lies in wireless and sensor networks, signal processing, smart-grid systems, high performance computing, and computational electromagnetics. Work objectives in these main lines of work are described as below:

Objectives:

· Wireless Sensor Networks: Physical development of sensing devices, development of mac protocols, routing, and localization algorithms.

2. Dr. Omar Usman Khan, Associate Professor, Department of Computer Science.

1. Dr. Muhammad Tariq, Associate Professor, Department of Electrical Engineering.

Team Lead:

The Computing Laboratory (COLAB) was established in September 2017 at FAST NUCES Peshawar Campus with the aim of elevating the quality of undergraduate and graduate students. It is a pre-incubation lab, where the students enrolled included the very junior students with little to no knowledge as well as seniors with a lot of experience. This environment led to a synergy between COLAB members, which have led to great effects. Junior students, who are currently in their third semester routinely, take charge and present topics of contemporary importance and of market interest to their peers and even seniors. This trend of students taking a leadership position has shown highly promising results. It is believed that COLAB students will be able to work professionally both from an academic standpoint as well as in terms of what the local and international market demands.

The Computing Laboratory (COLAB)Foster Leadership Potential in Students at Academic Fronts

1. Dr. Omar Usman Khan, Associate professor, Department of Computer Science.

Team Lead:

Selected Research Publications:1. Ali, T., Nauman, M., Jan, S. Trust in

IoT: dynamic remote attestation through efficient behavior capture. In Cluster Computing. Early Access. pp 1–13. Indexed ISI. Springer. April, 2017. (IF: 1.514)

2. Ali, T., Ismail, R., Musa, S., Nauman, M., Khan, S. Design and implementation of an attestation protocol for measured dynamic behavior. In Journal of Supercomputing. Vol. 73. No. 4. pp 1–28. Indexed ISI. Impact factor: 1.088. Springer. April, 2017. (IF: 1.088)

· High Performance Computing: Development of various tools that exploit high performance promised by graphic processing units for different applications.

· Computational Electromagnetics:· Development of simulation tools

for micro magnetics at macroscopic time and length scales.

· Signal Processing: Acoustics and speech processing, Fourier Transforms

· Smart Grids: Development of reliable, flexible, and automated delivery systems.

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Industrial trips are regularly arranged by the campus for the students to have exposure of the field and to have interaction with practitioners. Various MoUs are signed with the industry for the research collaboration, business startups, and financial support for the need deserving students of the campus.

Industrial Linkages

· University of California, California. Contact: Prof. Daniel M.

Kammen.

· Three-way Decision Making Group.

· Decision-theoretic Rough Set Group (University of Regina).

· International Rough Set Society.

· Macquarie University, Sydney Australia. Contact: Dr. Alireza Jolfaei.

Peshawar Campus

Some of the faculty members are working with state of the art research funded projects whose details are given below.

Research Collaborations - Funded Projects

Dr. Muhammad Tariq is working on a project titled Automatic Speech Recognition (Pushto Language), where he is working as a Principle Investigator of the project. The project duration is 2 years (August 2018 – August 2020). The project is funded by NRTC, Ministry of Defense Production, Government of Pakistan worth 2 mission.

1. Project Funded by Ministry of Defense Production-NRTC

2. Project funded by NATO Dr. Omar Usman are working on a

project titled Analysis, Design and Implementation of an End-to-End 400 km QKD Link with NATO where he represents Pakistan. The approved funding for the project is three hundred and forty thousand (340,000) euros. The duration of the project is 1 year. For the smooth conduct of this project, he also involved various students with him that provide them an opportunity to learn and work on the project of such a big scale.

3. Project funded by HEC-NRPU Dr. Omar Usman, Head of


is working on a project titled Low Cost Seismic Monitoring Network, where he is a Principal Investigator of the project. The approved funding for the project is 3 million rupees. Total duration of the project is 2 years.

There are enough full time faculty members who are competent and committed to provide adequate coverage of all courses with continuity and stability. They are research oriented and actively involved in scholarly activities. Some of their individual academic linkages and research collaborations with world top-notch universities and societies are as follows;

Faculty Academic Linkages and Research Collaborations

· Brandon University, Canada. Contact: Dr. Gautam Srivastava.

· SATO Lab, Waseda University, Tokyo, Japan. Contact: Prof. Takuro Sato (IEEE Fellow)

· State Key Lab of Alternate Electrical Engineering, North China Electric Power University, Beijing, China. Contact: Prof. Zhenyu Zhou.

· Ummul Qura University, Kingdom of Saudi Arabia. Contact: Dr. Eisa Alanazi.

· CADEMA Research Group, Politecnico di Torino, Torino, Italy. Contact: Prof. Carlo Ragusa

· Islamic University Madinah, Kingdom of Saudi Arabia. Contact: Dr. Tayyab Naqash.

· Princeton University, USA. Contact: Prof. H. Vincent Poor

· California State University, Los Angeles. Contact: Dr. Marina Mondin

· Oxford University, UK.

· University of Melbourne, Australia. Contact: Dr. Abd-Karim Seghouane.

· Beihang University, China. Contact: Prof. Kainam Thomas Wong.

· Shanghai Jiao Tong University, Shanghai, China. Contact: Prof. Jun Wu.

· Michigan Technological University, Houghton, USA. Contact: Dr. Chee-Wooi Ten.

· MoU with Peshawar 2.0.· MoU with Pashto Academy,

University of Peshawar.

· MoU with Afghan Consulate General Peshawar.

· MoU with Concepts Unlimited. dated: 18-08-2019

· MoU with FAST Alumni Association North America.

· MoU with Durshal Abbottabad/ Tech Valley Abbottabad. dated: 28-10-2019

· MoU with National Incubation Center.

· MoU with National Radio & Telecommunication Corporation (NRTC).

· MoU with Khawateen Rozeghar Services.

· MoU with Dice Analytic (Pvt.) Ltd. dated: 27-05-2019.

· MoU with Presidential Initiative for Artificial Intelligence and Computing (PIAIC). dated: 29-01-2020

FAST-NUCES90

Mr Shakir UllahAssistant ProfessorMS (CS), Foundation Univ, Islamabad (2009)MS (IT), Gomal Univ, D.I. Khan (2006)

Faculty-Peshawar

Associate Professor & Head of Department

MS (CC&N), Politecnico Di Torino, Italy (2010)

Dr Hafeez ur Rehman

PhD (I&SE), Politecnico Di Torino, Italy (2014)

BS (CS), CIIT, Abbottabad (2006)


MS (CE), GIKI, Topi (2008)

Dr Omar Usman Associate Professor HEC approved PhD Supervisor

BS (CS&SE), Univ of Greenwich, UK (2002)

PhD (CE), Politecnico di Torino, Italy (2013)

MS (DS), Brunel Univ UK (2005)


Assistant Professor

PhD (IT), Univ of Kuala Lampur, Malaysia (2014)HEC approved PhD Supervisor

MS (SE), City Univ Peshawar (2007)

Dr Mohammad Nauman

BS (MS), Univ of Peshawar (2004)

PhD (CS), Univ of Regina, Canada (2014)

Dr Nouman Azam


MS (CSE), NUST, Islamabad (2007)

Assistant Professor

BS (CS), NUCES, Peshawar (2005)

Dr Taimoor Khan Assistant Professor

BS (CIS), PIEAS, Islamabad (2007)MS (IT), Swinburne Univ of Tech, Australia (2010)PhD, Bahria Univ, Islamabad (2018)

Assistant Professor

BS (IT), Iqra Univ, Karachi (2003)MS (CS), NUCES, Islamabad (2006)

Mr Shoaib Muhammad

Mr Muhammad AminAssistant ProfessorMS (IT), IM Sciences, Peshawar (2006)BS (CS), IM Sciences, Peshawar (2004)

Mr Waqas AliLecturer

MSc (CS), Univ of Peshawar (2010)MS (CS), Univ of Peshawar (2017)

Ms Sara RehmatLecturer

BS (CSE), NUST, Islamabad (2008)MSc (CS), UET, Peshawar (2019)

Ms Mashal KhanLecturerMS (Information Security), NUST, Islamabad (2020)BS (CSE), UET, Peshawar (2016)

Ms Safia Fatima

BS (CS), NUCES Peshawar (2016)

InstructorMS (CS), NUCES, Peshawar (2019)

Mr Muhammad YousafInstructorBS (CS), NUCES, Peshawar (2015)

InstructorBS (CS), NUCES Peshawar (2019)

Mr Muhammad Hamza

Mr Fazl-e-BasitAssistant Professor MS (CSE), NUST, Islamabad (2007)BS (CSE), Foundation Univ, Islamabad (2002)BSc (CS), Peshawar Univ, Peshawar (1998)

FAST-NUCES 91

Mr Mohsin Kamal

BS (TE), NUCES, Peshawar (2008)MS (EE), Blekinge Inst. of Technology, Sweden (2012)Assistant Professor

HEC approved PhD SupervisorAssociate Professor, Head of Department & DirectorDr Muhammad Tariq

BS (CSE), UET, Peshawar (2006)MS (ECE), Hanyang Univ, S. Korea (2009)PhD (TE), Waseda Univ, Japan (2012)


BS (EE), SSUET, Karachi (2005)

LecturerMr Muhammad Kamil

MS (EE), Abasyn Univ, Peshawar (2019)

MS (EE), UET, Peshawar (2009)


Dr Ajmal Farooq

PhD (EE), Zhejiang Univ, China (2016)

BS (EE), UET, Peshawar (2006)

Assistant Professor

Mr Mohsin Shah

BSc (EE), UET, Peshawar (2004)Lecturer

MS (EE), GIKI, Topi (2013)

Assistant Professor

BS (EE), UET, Peshawar (2010)

Dr Salman Khan

PhD (EE), Hong Kong Polytechnic Univ (2018)

Mr Usman AbbasiLab EngineerMS (EE), CECOS Univ, Peshawar (2015)BS (EE), CECOS Univ, Peshawar (2009)MS (EE), LTH-LUND Univ, Sweden (2011)

PhD (Engineering), Univ of Melbourne, Australia (2019)

BS (TE), NUCES, Peshawar (2008)

Dr Asif IqbalAssistant Professor

BS (TE), NUCES, Peshawar (2012)

Mr Kashif JavedLab EngineerMS (EE), NUCES, Peshawar (2015)

Mr Ahmed Qazi

BSc (EE), NED UET, Karachi (1984)

Assistant ProfessorMSc (EE), Univ of Manchester, UK (1988)

MS (EE), NUCES, Peshawar (2015)Lab EngineerMr Muneeb Suhail


Assistant ProfessorMr Asif Khan

MS (EE), Univ of Leeds, UK (2006)BS (EE), UET, Peshawar (2001)

Mr Waseem UllahLab EngineerBE (EE), UET, Peshawar (2000)

BS (CSE), UET, Peshawar (2005)

Assistant ProfessorMS (TE), Melbourne Univ, Australia (2007)

Mr Rahat Ehsan


Ms Anum RashadLab Engineer

MS (EE), Blekinge Inst. of Technology, Sweden (2010)Assistant Professor

BS (CSE), UET, Peshawar (2008)

Mr Maqsood Khan

Mr Nouman ShabbirLab EngineerBS (EE), Univ of Gujrat, Gujrat (2014)

Mr Suleman Mir

BS (TE), NUCES, Peshawar (2007)MS (EE), Univ of Leeds, UK (2011)Assistant Professor

Faculty-Peshawar

FAST-NUCES92

Ms Abida FaridLecturerMPhil (Eng. & Comm.), IM Sciences, Peshawar (2016)MA (Eng), Univ of Peshawar (2008)

Mr Osama SohrabLecturerMS (Math), GIKI, Topi (2017)BS (Math), Islamia College, Peshawar (2015)

Faculty-Peshawar

Dr Ihsan UllahAssistant Professor & Incharge

MBA, Univ of Peshawar (2003)

PhD (MGT), IM Sciences, Peshawar (2019)MS (Banking & Fin), Middlesex Univ, UK (2007)

MSc (Math), Quad-i-Azam Univ, Islamabad (2012)

Mr Ikram Ullah

MPhil (Math), Quad-i-Azam Univ, Islamabad (2015)Lecturer


InstructorMA (Eng), SBBWU, Peshawar (2011)

Ms Maryam Ali

MS (Physics), GIKI, Topi (2015)BS (Physics), AWKU, Mardan (2013)

Mr Ali Abbas Lecturer

Mr Askar AliLecturerMPhil (Math), QAU, Islamabad (2015)BS (Math), AWKU, Mardan (2013)

FAST-NUCES 93

Programs Offered and Campuses

Program

Chiniot-Faisalabad

Islamabad Karachi

Lahore

Peshawar

Main campus

Citycampus

Bachelor Degree Programs

1. BBA X X X X

2. BS (Accounting & Finance) X X

3. BS (Artificial Intelligence) X X

4. BS (Civil Engineering) X

5. BS (Computer Science) X X X X X

6. BS (Cyber Security and Digital Forensics) X X

7. BS (Data Science) X X

8. BS (Electrical Engineering) X X X X X

9. BS (Software Engineering) X X X X

Master Degree Programs

1. MBA X X X

2. MS (Accounting & Finance) X

3. MS (Artificial Intelligence)

4. MS (Applied Linguistics) X

5. MS (Civil Engineering) X

6. MS (Computer Networks & Security ) X X

7. MS (Computer Science) X X X X X

8. MS (Data Science) X X X

9. MS (Electrical Engineering) X X X X X

10. MS (Management Sciences) X

11. MS (Mathematics) X

12. MS (Software Engineering) X

13. MS (Software Project Management) X X

PhD programs

1. PhD (Civil Engineering) X

2. PhD (Computer Science) X X X X

3. PhD (Electrical Engineering) X X X X

4. PhD (Management Sciences) X X

5. PhD (Mathematics) X

6. PhD (Software Engineering) X

‘X’ means program is offered

X

X

X

X

FAST-NUCES94


FAST-NUCES 95


By the time of graduation, the students develop an ability to:

Learning Outcomes

Selection Criteria

Eligibility

Those who have taken the HSSC or an equivalent examination and are awaiting result can also apply.

· Design, implement, and evaluate a computer-based system, process, component or program to meet desired needs

· Work in a team to accomplish a common goal

· Apply knowledge of computing and mathematics that is appropriate for the program

· Understand professional, ethical, and social issues and responsibilities

· Communicate effectively with different audiences

· Analyse a problem and define computing requirements that are appropriate to its solution

· Apply automated reasoning

· Change the world for the better – in areas like healthcare, transportation, education etc.

· Transform large amounts of data into actionable decisions

· Focus on how complex inputs, such as vision, language, and huge databases, can be used to make decisions or enhance human capabilities

· At least 60% marks in SSC (Matric) or an equivalent examination AND

· At least 50% marks in the HSSC or an equivalent examination.Must have passed Mathematics at the HSSC level.

b) Obtained a CGPA of at least 2.00

a) Passed courses totalling at least 132 credit hours, including all those courses which have been specified as Core courses.

For the award of BS (Artificial Intelligence) degree, a student must have:

Award of BS (Articial Intelligence) Degree

Your career prospects will be excellent: You may become risk manager, reporting analyst, project manager, enterprise analyst, data engineer, machine learning engineer, artificial intelligence developer etc.

Career Opportunities


FAST-NUCES96

Applicants from O-level route

b) HSSC-I exam score 50%

Applicants from SSC (Matriculation) route

Admission on the basis of SAT

a) SSC exam score 50%


For O-level students, whose A-level

result is not available, the weight

assigned to IBCC equivalent score x

1.1 shall be 100%.

Admission on the basis of NTS-NATSelection is based on marks obtained in NTS NAT IE, or NAT-ICS

at least 550 in SAT-II (Math Level IIC)

a) IBCC equivalent score x 1.1 50%

Combined score of 1,000 or more in SAT-I AND

Cut-off marks to be determined by the University

BS (Articial Intelligence)

Note

Registration in “Final Year Project-I” is allowed provided the student has earned at least 100 credit hours, and his/her CGPA is equal to or greater than the graduating CGPA (2.0).

Domain Credits Computing Core 39 AI Core 23 General Education Courses

19

University Electives 9 Mathematics and Science Foundation Courses

15

AI Supporting Courses 9 AI Electives 18

TOTAL 132

CL 117 Intro. to Info. & Comm. Tech. 0+1

CS 118 Programming Fundamentals 3+1

NS 101 Applied Physics 3+0

MT 119 Calculus & Analytical Geometry 3+0

SS 113 Pakistan Studies 3+0

SS 150 English Comp. & Comprehension 2+1

Total 14+3

Semester – II

CS 217 Object Oriented Programming 3+1 CS 118

MT 115 Differential Equations 3+0 MT 119

CS 211 Discrete Structures 3+0 SS 111 Islamic Studies/Ethics 3+0 SS 152 Comm. & Presentation Skills 2+1

Total 14+2 Semester – III

CS 218 Data Structures 3+1 CS 217

AI 201 Intr. to Artificial Intelligence 3+0

MT 104 Linear Algebra 3+0

MT 205 Probability & Statistics 3+0

SS University Elective-I 3+0

Total 15+1

Semester – IV

CS 219 Database Systems 3+1 CS 218

CS 220 Operating Systems 3+1 CS 218

AI 202 Knowledge Rep. & Problem Solving

3+1 AI 201

CS 302 Design & Analysis of Algorithms 3+0 CS 218

MT 402 Stochastic Processes 3+0 MT 205

Total 15+3

Semester – V

AI 301 Machine Learning 3+1 AI 202

CS 307 Computer Networks 3+1 CS 218

CS 328 Software Engineering 3+0

SS 153 Technical and Business Writing 3+0 SS 152

AI xxx AI Elective –I 3+0

Total 15+2

Semester – VI

AI 302 Natural Language Processing 3+1 AI 301

MT MT Elective 3+0

MG University Elective – II 3+0

AI xxx AI Elective –II 3+0

AI xxx AI Elective –III 3+0

Total 15+1

Semester – VII

AI 491 Final Year Project – I 0+3

AI 401 Deep Learning 3+1 AI 301

AI 402 Intro to Computer Vision 3+1 AI 301

AI xxx AI Elective – IV 3+0

AI xxx AI Elective – V 3+0

Total 12+5

Semester – VIII

AI 492 Final Year Project - II 0+3 AI 491

CS 462 Information Security 3+0

CS 463 Professional Practices 3+0 Sr. Year

AI xxx AI Elective – VI 3+0

SS/MG University Elective III 3+0

Total 12+3

Tentative Study Plan of BS (AI)

Sr. Year

SS 150

Pre-Req.Semester – I

FAST-NUCES 97


· Fundamental Computing Knowledge: A graduate who is performing his/her professional roles with understanding of fundamental computing knowledge acquired during his studies.

· Ethical and Societal Responsibilities: A graduate who is fulfilling his/her professional responsibilities taking into account ethical and societal concerns.

· Communication Skills: A graduate who is effective in oral and written communication of technical and managerial information.

· Leadership: A graduate who is effective in a leadership role of a group/team assigned to him/her or in an entrepreneurial environment.

· Continuous Improvement: A graduate who keeps on exploring new fields and areas in computing for his/her organization or conduct research for academic pursuits.

Program Objectives

· Problem Analysis: Identify, formulate, research literature, and analyse complex computing problems, reaching

· Computing Knowledge: Apply knowledge of mathematics, natural sciences, computing fundamentals, and a computing specialization to the solution of complex computing problems.

substantiated conclusions using first principles of mathematics, natural sciences, and computing sciences.

· Design/Develop Solutions: Design solutions for complex computing problems and design systems, components, and processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations.

· Investigation & Experimentation: Conduct investigation of complex computing problems using research based knowledge and research based methods

· Modern Tool Usage: Create, select, and apply appropriate techniques, resources and modern computing tools, including prediction and modelling for complex computing problems.

· Environment and Sustainability:

· Society Responsibility: Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal, and cultural issues relevant to context of complex computing problems.

Learning OutcomesUnderstand and evaluate sustainability and impact of professional computing work in the solution of complex computing problems.

· Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of computing practice.

· Project Management and Finance: Demonstrate knowledge and understanding of management principles and economic decision making and apply these to one's own work as a member or a team.

· Life Long Learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological changes.

· Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams and in multi-disciplinary settings.

· Communication: Communicate effectively on complex computing activities with the computing community and with society at large.


Your career prospects will be excellent: The graduates holding BS (CS) degree will be able to adopt a wide range of careers, including Software Engineer, Software Developer, Web, Game and Mobile App Developer, Software Quality Engineer, and Graphics Designer etc.


FAST-NUCES98








Admission on the basis of NTS-NATSelection is based on marks obtained in NTS NAT IE, or NAT-ICS

Combined score of 1000 or more in SAT-I AND






1.1 shall be 100%.


Selection Criteria

Eligibility




For the award of BS (Computer Science) degree, a student must have:



Award of BS (Computer Science) Degree

FAST-NUCES 99


Note


Domain Credits Computing Core 39

CS Core 24

General Education Courses

19

SS/ MG Electives (University Electives)

9

Mathematics and Science Foundation Courses

12

CS Supporting Courses 9

CS Electives 18

TOTAL 130

Tentative Study Plan of BS (CS)

Semester – I Pre-Req.

CL 117 Intro to Info. & Comm. Technologies 0+1






Total 14+3

Semester – II

CS 217 Object Oriented Programming CS 118

EE 227 Digital Logic Design

MT 224 Differential Equations (Cal II) MT119 SS 111 Islamic Studies / Ethics SS 152 Comm. & Presentation Skills

3+1

3+1

3+0

3+0 2+1

Total 14+3

Semester – III

CS 218 Data Structures 3+1 CS 217 EE 210 Comp. Org. & Assembly Language 3+1 EE 227 CS 211 Discrete Structures 3+0

MT 104 Linear Algebra 3+0 SS University Elective – I 3+0

Total 15+2

Semester – IV

CS 219 Database Systems CS 218

CS 220 Operating Systems CS 218

CS 302 Design & Analysis of Algorithms CS 218

MT 205 Probability & Statistics

MG University Elective – II

3+1

3+1

3+0

3+0

3+0

Total 15+2

Semester – V

CS 301 Theory of Automata 3+0


CS 324 Software Design and Analysis 3+0 CS 218

SS 153 Technical & Business Writing 3+0 SS 152 CS 325 Numerical Computing 3+0

Total 15+1

Semester – VI

CS 328 Software Engineering 3+0 CS 324 CS 326 Parallel & Distributed Computing 3+0 CS 220 CS 461 Artificial Intelligence 3+1 CS CS Elective I 3+0 MT CS Supporting Elective 3+0

Total 15+1

Semester – VII

CS 491 Final Year Project – I 3+0


CS 463 Professional Practices 3+0

CS CS Elective II 3+0

CS CS Elective – III 3+0

Total 15+1

Semester – VIII

CS 492 Final Year Project – II 3+0


CS CS Elective IV 3+0

CS CS Elective V 3+0

CS CS Elective VI 3+0

Total 15+1

CS 491

Sr. Year

SS 150

CS 211

FAST-NUCES100










1.1 shall be 100%.



Selection is based on marks obtained in NTS NAT IE, or NAT-ICS




Admission on the basis of NTS-NAT

Selection Criteria

Eligibility






Learning Outcomes

· Ability to apply appropriate techniques for minimizing risks, and react appropriately to security breaches

· Ability to undertake graduate level studies and research

· Ability to align computer security best practices with organizational needs

· Developed core Computing foundation according to international standards

· Developed effective

· Ability to analyse security, ethical, & privacy issues, and devise solutions

· Ability to investigate network, system software, application software, mobile, and cyber security breaches

· Ability to convert understanding to innovations

communication, management and leadership skills

Your career prospects will be excellent: You may become cyber security specialist, cyber security analyst, cyber-crime analyst, cyber security consultant, IT auditor, Information security manager/ administrator, Information assurance engineer, IT security consultant, digital forensics analyst, penetration and vulnerability tester etc.




For the award of BS (Cyber Security and Digital Forensics) degree, a student must have:

Award of BS (Cyber Security and Digital Forensics) Degree

FAST-NUCES 101

Tentative Study Plan of BS (CSDF)


Note









Total 14+3

Semester – II



EE 227 Digital Logic Design 3+1 SS 111 Islamic Studies/Ethics 3+0

SS 152 Comm. & Presentation Skills 2+1 Total 14+3

Semester – III

CS 210 Data Structures & Algorithms 3+1 CS 217

CY 201 Number Theory & Cryptography 3+0

CY 202 Info. Security Laws & Standards 3+0

CS 211 Discrete Structures 3+0


Total 15+1

Semester – IV



CY 203 Information System Audit 3+0 CY 202

CY 204 Applied Cryptography 3+0 CY 201


Total 15+2

Semester – V

CY 301 Digital Forensics Tools & Tech. 3+1 CS 220



SS 153 Technical & Business Writing 3+0 SS 152

CY xxx CY Elective –I 3+0

Total 15+2

Semester – VI

CY 302 Digital Evidence Analysis 3+0 CY 301

CY 303 Secure Software Design 3+0 CS-328


CY xxx CY Elective –II 3+0


Total 15+0

Semester – VII

CY 491 Final Year Project – I 0+3

CY 401 Computer Systems Security 3+1 CS 462


MT MT Elective 3+0

CY xxx CY Elective – III 3+0

Total 12+4

Semester – VIII

CY 492 Final Year Project - II 0+3


CY xxx CY Elective – IV 3+0

CY xxx CY Elective – V 3+0


Total 12+3

Sr. Year

Sr. Year

SS 150

FAST-NUCES102

Domain Credits

Computing Core 39 CSDF Core 26 General Education Courses 19 University Electives 9 Mathematics and Science Foundation Courses

12

CSDF Supporting Courses 10 CSDF Electives 15

TOTAL 130



Learning Outcomes















1.1 shall be 100%.


Selection Criteria

Eligibility


· Apply knowledge of computing and mathematics that is appropriate for the program

· Analyse a problem and define computing requirements that are appropriate to its solution

· Design, implement, and evaluate a computer-based system, process, component or program to meet desired needs

· Work in a team to accomplish a common goal

· Understand professional, ethical, and social issues and

responsibilities· Communicate effectively with

different audiences· Learn programming for large-

sized datasets· Identify useful and hidden

patterns from data

· Change the world for the better – in areas like healthcare, transportation, education etc.

· Improve decision making skills by mining data from various aspects

· Solve real world problems by applying mathematical and computational approaches


· At least 50% marks in the HSSC or an equivalent examination.Must have studied Mathematics at the HSSC level.



For the award of BS (Data Science) degree, a student must have:

Award of BS (Data Science) Degree

Your career prospects will be excellent: You may become data scientist, business analyst, big data analyst, social networks analyst, data engineers, decision scientist, data quality assurance experts, business analyst, business intelligence analyst, data consultant, data associate, database developer, software engineer, machine learning engineer etc.


BS (Data Science)

FAST-NUCES 103

Tentative Study Plan of BS (DS)

BS (Data Science)

Note


Domain Credits Computing Core 39 DS Core 26 General Education Courses

19


15

DS Supporting Courses 9 DS Electives 15

TOTAL 132


CL 117 Intro. to Info. & Comm. Technologies 0+1






Total 14+3

Semester – II Pre-Req.



CS 211 Discrete Structures 3+0 SS 111 Islamic Studies/Ethics 3+0 SS 152 Comm. & Presentation Skills 2+1

Total 14+2

Semester – III

CS 218 Data Structures 3+1 CS 217

DS 201 Fundamental of Data Science 2+0




Total 14+1

Semester – IV



DS 202 Data Analysis & Visualization 3+1 DS 201

CS 302 Design and Analysis of Algorithms 3+0 CS 218


Total 15+3

Semester – V

DS 301 Big Data Programming 3+1

CS 307 Computer Networks 3+1

DS 302 Big Data Mining 3+1

SS 153 Technical and Business Writing 3+0

MT 402 Stochastic Processes 3+0

DS202+CS219

CS 218

CS 219

SS 152

MT 205

Total 15+3

Semester – VI


DS 303 Image Processing and Analysis 3+1 MT 104

DS xxx DS Elective –I 3+0

DS xxx DS Elective –II 3+0

CS 326 Parallel and Distributed Computing

3+0 CS 220

Total 15+1

Semester – VII

DS 491 Final Year Project – I 0+3

DS 401 Deep Learning and Applications 3+1 DS 302

DS 402 Natural Language Processing 3+1 DS 302

DS xxx DS Elective – III 3+0

DS xxx DS Elective – IV 3+0

Total 12+5

Semester – VIII

DS 492 Final Year Project - II 0+3

Sr. Year



DS xxx DS Elective – V 3+0


Total 12+3

DS 491

Sr. Year

SS 150

FAST-NUCES104


Program Objectives· Design solutions for complex

engineering problems and design systems, components or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations.

· Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to professional engineering practice and solution to complex engineering problems.

· Create, select and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modelling, to complex engineering activities, with an understanding of the limitations.

· Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice.

multidisciplinary settings.

· Ability to work effectively, as an individual or in a team, on multifaceted and /or

· Ability to demonstrate management skills and apply engineering principles to one's own work, as a member and/or leader in a team, to manage projects in a multidisciplinary environment.

Your career prospects will be excellent: The graduates of SE degree may become Software Quality Assurance Engineer, Systems Programmer, Embedded Software Engineer, Software architect, Chief Technology Officer, Chief Information Officer, User Interface Designer, Information Systems Manager or Computer Graphic Designer etc.


Learning Outcomes

· Student will be able to design and evaluate solutions for complex computing problems, and design and evaluate systems, components, or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations

· Student will be able to function effectively as an individual and as a member or leader in diverse teams and in multi-disciplinary settings

· Student will be able to apply knowledge of computing fundamentals, knowledge of a computing specialization, and mathematics, science, and domain knowledge appropriate for the computing specialization to the abstraction and conceptualization of computing models from defined problems and requirements

· Student will be able to communicate effectively with the computing community and with society at large about complex computing activities by being able to comprehend and

· Student will be able to identify, formulate, research literature, and solve complex computing problems reaching substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines

· Student will be able to create, select, adapt and apply appropriate techniques, resources, and modern computing tools to complex computing activities, with an understanding of the limitations

responsibilities, and norms of professional computing practice

write effective reports, design documentation, make effective presentations, and give and understand clear instructions

· Student will be able to understand and commit to professional ethics,

· Student will be able to understand and assess societal, health, safety, legal, and cultural issues within local and global contexts, and the consequential responsibilities relevant to professional computing practice

· Student will be able to recognize the need, and have the ability, to engage in independent learning for continual development as a computing professional


FAST-NUCES 105




1.1 shall be 100%.


Admission on the basis of SATCombined score of 1,000 or more in SAT-I AND










Selection Criteria

Eligibility



· At least 50% marks in the HSSC or an equivalent examination.Must have studied Mathematics at the HSSC level.


For the award of BS (Software Engineering) degree, a student must have:


Award of BS (Software Engineering) Degree


FAST-NUCES106

Note


Domain Credits Computing Core 39 SE Core 24 General Education Courses

19


12

SE Supporting Courses 9 SE Electives 18

TOTAL 130

Tentative Study Plan of BS (SE)Semester – I Pre-Req.


CS 118 Programming Fundamentals 3+1 NS 101 Applied Physics 3+0 MT 119 Calculus & Analytical Geometry 3+0 SS 113 Pakistan Studies 3+0 SS 150 English Comp. & Comprehension 2+1

Total 14+3

Semester – II

CS 217 Object Oriented Programming CS 118

SE 110 Intro to Software Engineering

CS 211 Discrete Structures SS 111 Islamic Studies/Ethics SS 152 Comm. & Presentation Skills

3+1

3+0

3+0

3+0

2+1

Total 14+2

Semester – III

CS 218 Data Structures 3+1 CS 217 SE 210 Software Requirement Engineering 3+0 SE 110 CS 422 Human Computer Interaction 3+0 SE 110 MT 104 Linear Algebra 3+0


Total 15+1

Semester – IV

CS 219 Database Systems

CS 220 Operating Systems

SE 220 Software Design & Architecture

CS 218

CS 218

CS 218

SExxx SE Supporting – I

MG University Elective – II

Total

3+1

3+1

2+1

3+0

3+0

14+3

Semester – V

SE 310 Software Construction and Dev. 2+1 SE 220


MT 205 Probability and Statistics 3+0

SS 153 Technical and Business Writing 3+0

SExxx SE Supporting – II 3+0

Total 14+2

Semester – VI

SE 321 Software Quality Engineering

SE 322 Web Engineering

SExxx SE Elective –I

SE xxx SE Elective –II

SE 110

SE xxx SE Supporting – III

3+0

3+0

3+0

3+0

3+0

3+0

Total 18+0

Semester – VII

SE 491 Final Year Project – I 0+3

CS 517 Software Project Management 3+0 SE 210

SE xxx SE Elective – III 3+0

SE xxx SE Elective – IV 3+0

Total 12+3

Semester – VIII

SE 492 Final Year Project - II

SE 410 Software Re-Engineering SE 210

SExxx SE Elective – V

SExxx SE Elective – VI

SS/MG University Elective III

0+3

3+0

3+0

3+0

3+0

Total 12+3


Sr. Year

SE 491

SS 153

CS463 Professional Practices Sr. Year

FAST-NUCES 107

CS 462 Information Security 3+0 SE 310


Program ObjectivesThe MS (Artificial Intelligence) comprises of both course work as well as research component. There are three core courses aimed at strengthening the understanding and competence of students in artificial intelligence fundamentals. The University expects its MS (Artificial Intelligence) graduates to pursue careers as AI experts in either academia or industry.

Learning Outcomes

· Take a leadership role both in AI academia and industry.

· Pursue doctoral studies within the domain of Artificial Intelligence at top ranked institutes of the world.

· Create autonomous systems/ agents for solving complex real-world problems.

· Apply the tools and techniques to make strategically important impact on industry and society.

For the award of MS degree, a student must have:


b) Earned CGPA of 2.5 or more.

Award of Degree

MS (Artificial Intelligence)

Note

b) Passed the “Research Methodology” course; AND

c) CGPA is equal to or more than 2.5.

Applied Programming course is of No Credit (NC), but it must be passed.Registration in “MS Thesis/ Project – I” is allowed provided the student has a) Earned at least 16 credits

Core Courses

AI 501 Advanced Artificial Intelligence AI 502 Mathematical Foundations of AIAI 503 Advanced Machine Learning

Tentative Study Plan of MS (AI)

Semester-I

CS 319 Applied Programming 1 NC AI 5xx Core Course–I 3 AI 5xx Core Course–II 3 CS/EE General Elective-I 3

Total 9

Semester-II

AI 5xx Core Course–III 3 AI 5xx Elective-I 3 AI 5xx Elective-II 3 SS 511 Research Methodology 1

Total 10

Semester-III

General Elective-II 3 CS 5xx MS Thesis-I/ MS Project-I 3

Total 6

Semester-IV

AI 5xx Elective-III 3 CS 5xx MS Thesis -II/MS Project -II 3

Total 6

CS/EE

Past Academic Record (BS/BE) 40%Performance in NU MS subject Admission Test 60%

Selection Criteria

Eligibility Degree in relevant subject of Science or Engineering, earned from a recognized university after 16 years of education with at least 60% marks or CGPA of at least 2.0 (on a scale of 4.0).

FAST-NUCES108


Program ObjectivesThis program prepares students to meet challenges posed by a highly inter-connected world. Mobile computing, Sensor networks and other emerging technologies require a thorough understanding of related technologies. This program provides understanding and exposure to the latest trends and technologies in this field.

Learning Outcomes

· Prepare student to learn the technical aspects of information security by understanding current threats and vulnerabilities and examining ways of developing effective countermeasures.

· Prepare students who can understand the implications of handling data in terms of data security.

· To equip students so that they able to play an effective role in international efforts to make the cyberspace safe, secure and reliable for the national and international community.

· To produce skilled people who are able to contribute towards need of protecting national information infrastructure from all kinds of threats.

Core Courses (Pass any FOUR of the following)

CS 585 Network Management CS 630 Network & Cyber Security CS 5105 Applied Information Security

CN 501 Performance of Comp. NetworksCS 505 Advanced Operating Systems

CS 524 Advanced Computer Networks CS 578 Routing & Switching





Award of Degree

Note

a) Earned at least 16 credits

Registration in “MS Thesis/Project – I” is allowed provided the student has



Applied Programming course is of No Credit (NC), but it must be passed.

Tentative Study Plan of MS (CN & S)

Semester-I

CS 319 Applied Programming 1 NC CN 5xx Core Course–I 3 CN 5xx Core Course–II 3 CS/EE General Elective-I 3

Total 9

Semester-II

CN 5xx Core Course-III 3 CN 5xx Core Course-IV 3 CN 5xx Elective-I 3 SS 505 Research Methodology 1

Total 10

Semester-III

CS/EE General Elective-II 3 CS 5xx MS Thesis-I/ MS Project-I 3

Total 6

Semester-IV

CN 5xx Elective-II 3 CS 5xx MS Thesis-II/MS Project-II 3

Total 6

Performance in NU MS subject Admission Test 60%

Past Academic Record (BS/BE) 40%

Selection Criteria


FAST-NUCES 109


Program ObjectivesThe MS (Computer Science) comprises of both course work as well as research component. There are four 'core courses' aimed at strengthening the understanding and competence of students in computer science fundamentals. The University expects its MS graduates to pursue careers either as 'Computer Science Faculty Members' or as 'Software Development Managers' in the industry.

Learning Outcomes

2. Students will be able to think creatively and critically; to solve non-trivial problems

1. Students will be able to possess advanced knowledge of Computer Science field

3. Students will be able to use computing knowledge to develop efficient solutions for real life problems

4. Students will be able to design solutions and can conduct research related activities


a) Passed courses totalling at least 31 credit hours, including four core courses.

b) Earned CGPA of 2.5 or more

Award of Degree

Note


a) Earned at least 16 creditsb) Passed the “Research

Methodology” course; AND

Registration in “MS Thesis - I” is allowed provided the student has


Core Courses for MS (CS)

Tentative Study Plan of MS (CS)


At least four courses must be taken from the following

1. Computer Programming

5. Analysis of Algorithms

6. Computer Networks

7. Theory of Automata

2. Data Structures

8. Software Engineering

3. Operating Systems

4. Database Systems

9. Assembly Lang./Computer Arch.

A student selected for admission having deficiency in the above stated courses may be required to study a maximum of FOUR courses, which must be passed in the first two semesters. Deficiency courses shall be determined by the Graduate Studies Committee, before admitting the student. Fee is not charged for studying deficiency courses. A student cannot take MS courses unless all specified deficiency courses have been passed.

NUCES staff cannot register for more than two courses in a semester. A student has the option to pursue MS by undertaking either a 6 credit hour MS Thesis or MS Project, spread over two regular semesters.

CS507 Theory of Programming Languages

CS501 Advanced Analysis of Algorithms

CS505 Advanced Operating Systems

CS534 Theory of Automata –II EE502 Advanced Computer

Architecture

Semester – I

CS 319 Applied Programming 1 NC CS 5xx Core Course – I 3 CS 5xx Core Course – II 3 CS 5xx Core Course – III 3

Total 9

Semester – II

CS 5xx Core Course – IV 3 CS 5xx Elective – I 3 CS 5xx Elective – II 3 SS 505 Research Methodology 1

Total 10

Semester – III

CS 5xx Elective – III 3 CS 5xx MS Thesis-I /MS Project-1 3

Total 6

Semester – IV

CS 5xx Elective-IV 3 CS 5xx MS Thesis-II/MS Project-II 3

Total 6

Performance in NU MS subject Admission Test 60%


Selection Criteria

Eligibility Degree in relevant subject, earned from a recognized university after 16 years of education with at least 60% marks or CGPA of at least 2.0 (on a scale of 4.0).

The following core courses are recommended to be completed before entering the MS (CS) program.

FAST-NUCES110


Selection Criteria


Program ObjectivesThis program equips students to transform data into actionable insights that enable one to make complex business decisions. Students will able to process large and complex data sets through computational, statistical, and machine learning techniques. This program will provide exposure to the latest trends and technologies in this field. Thus producing the man power to fuel national and international emerging market of data science products.

Learning Outcomes· To equip students to transform

data into actionable insights to make complex business decisions.

· To enable students, understand and analyze a problem and arrive at computable solutions.

· To expose students to the set of technologies that match those solutions.

· To gain hands-on experience on data-centric tools for statistical analysis, visualization and big data applications at the same rigorous scale as in a practical data science project.

· To understand the implications of handling data in terms of data security and business ethics.


Tentative Study Plan of MS (DS)

b) Data Structures

The following four courses or equivalent are prerequisites for starting MS (Data Science) coursework.a) Object oriented programming

c) Design & Analysis of Algorithmsd) Database Systems

Typical course load in a semester is four courses. However, NUCES staff cannot register for more than two courses in a semester. A student has the option to pursue MS by undertaking either a 6 credit hour MS Thesis or Project, spread over two regular semesters.

a) Passed courses totalling at least 31 credit hours.



Award of Degree

Note

Registration in “MS Thesis-I” is allowed provided the student has Earned at least 16 credits AND Passed the “Research Methodology” course; AND CGPA is equal to or more than 2.5.


Specialized Core Courses (Choose 2)

2. Deep Learning (3)3. Natural Language Processing (3)4. Distributed Data Processing (3)

1. Big Data Analytics (3)

CS 5115 Social network analysis

CS 559 High performance

CS 5116 Bayesian Data Analysis

CS 637 Advanced Computer VisionCS 561 Data Visualization

CS 553 Applied Image Processing

CS 508 BioinformaticsCS 5112 Dist. Machine Learning in

Apache SparkCS 5118 Time series predictionCS 5114 Scientific Computing in

Finance

CS 579 Cloud computing

computing

CS 5117 Probabilistic Graphical Models

Elective Course (Not limited to)

CS 319 Applied Programming 1

NC

DS 500 Data Science Tools & Techniques 3

DS 501 Statistical and Math Methods for Data Science 3

Elective-I 3

Total 9

DS 503 Machine Learning for Data Science 3

DS 5xx Specialized Core I 3

DS 5xx Specialized Core II 3 SS 511 Research Methodology 1

Total 10

3 CS 5xx MS Thesis-II/MS Project-II 3

Total 6

3 CS 5xx 3

Total 6

MS Thesis-II/ MS Project-II

MS (Data Science)

DS 5xx

Semester – I

Semester – II

Semester – III

Semester – IV

Elective-III

Elective-II

FAST-NUCES 111

Merit is calculated by assigning the following weights:Past Academic Record (BS/BE) 40%Admission Test Score 60%

Selection Criteria

Eligibility Degree in relevant subject earned after 16 years of education from an HEC recognised university. The candidate must have at least 60% marks or CGPA of at least 2.0 (on a scale of 4.0).

MS (Software Engineering)


Program ObjectivesThe MS Software Engineering curriculum has been designed to give the students a good understanding of best software engineering methodologies and practices, emerging technologies, and their application in various industries. The goal of the program is to teach students to become leaders in engineering high quality computing solutions to solve real life problems by conducting high quality applied research.

Learning Outcomes· Prepare students who can

critically apply concepts,

· Prepare students to effectively communicate their ideas in written and electronic form, and prepare them to work collaboratively in a team environment.

· Prepare students with a theoretical software engineering background and applied research needed to enter a doctorate program in software engineering.

· Prepare students to join an appropriate and respectable level position in a computing-related field, and to maintain their professional skills in rapidly evolving field.

· Prepare students who can define, plan, implement and test a medium-sized software project using appropriate software engineering processes, methods and techniques.

theories and practices to provide creative solutions of complex computing problems.

The following core courses are recommended to be completed before entering the MS (SE) program.

1. Computer Programming2. Data Structures

4. Object Oriented Analysis and Design

5. Software Quality Engineering6. Human Computer Interaction

3. Software Engineering

A student selected for admission having deficiency in the above stated courses may be required to study a maximum of FOUR courses. These courses must be passed in the first two semesters. Deficiency courses shall be determined by the Graduate Studies Committee, before admitting the student. No fee is charged for studying deficiency courses. A student cannot take MS courses unless all specified deficiency courses have been passed.Typical course load in a semester is four courses. However, NUCES staff cannot register for more than two courses in a semester. For successful completion of the MS SE degree, the student must undertake a 6 credit hour MS Thesis or Project, spread over two regular semesters.



a) Passed courses totalling at least 31 credit hours, including all core courses.

Award of Degree

Note

Applied Programming course is of No Credit (NC). The department may exempt the course after an exam.

Tentative Study Plan of MS (SE)


Methodology” course AND

Registration in “Thesis-I/Project-I” is allowed provided the student has

c) CGPA is equal to or greater than 2.5

SE 501 Adv. Quality AssuranceSE 502 Adv. Software Requirements

Engg.

CS 618 Adv. Software ArchitectureCS 511 Adv. Software Engineering

(The following FOUR courses must be passed)

Core Courses

Semester – I

CS 319 Applied Programming 1 NC CS Core Course – I 3 CS Core Course – II 3 CS Core Course – III 3

Total 9

Semester – II

CS Core Course – IV 3 CS Elective – I 3 CS Elective – II 3 SS 505 Research Methodology 1

Total 10

Semester – III

CS Elective – III 3 CS MS Thesis-I/MS Project-I 3

Total 6

Semester – IV

CS Elective – IV 3 CS MS Thesis-II/MS Project-II 3

Total 6

FAST-NUCES112

Program ObjectivesThis program enables students to develop skills necessary to manage software projects. In the final year, students take a two-semester Project, which involves practical implementation of the Project Management skills and techniques acquired through the program, as well as actual development of the project.The MS (Software Project Management) program focuses on strengthening students' knowledge in theoretical as well as practical aspects of managing software projects. The program not only addresses management issues related to software industry but also covers the software engineering concepts, which must be known to a project manager.The aim is to prepare middle and top management so that they meet the challenges of present and future needs of software industry. The coursework exposes the students to management and technical issues encountered in development of software solutions.

Program Outcomes1. Students will be able to apply

skills necessary to manage software projects

2. Students will be able to exhibit practical implementation of Project Management skills and techniques

3. Students will be able to demonstrate theoretical and practical aspects of managing software projects


NUCES staff cannot register for more than two courses in a semester.


Selection Criteria

Eligibility · A degree in Science/

Engineering earned from a recognized university after 16 years of education with at least 60% marks or CGPA of at least 2.0 (on a scale of 4.0) AND

· Two years of post-qualification experience in software development or related area


a) Passed courses totalling at least 31 credit hours, including all those courses which have been specified as core courses.


Award of Degree



Registration in “Thesis-I” is allowed provided the student has

b) Passed the “Research Methodology” course AND`

Tentative Study Plan of MS (SPM)

Semester – I

CS 517 Software Project Management 3

CS CS Elective 3 MG 435 Management & Org. Behaviour 3

SS 505 Research Methodology 1

Total 10

Semester – II

CS 518 Software Quality Assurance 3 CS 525 Requirements Engineering 3

CS/MG Elective – I 3

Total 9

Semester – III

CS 563 Software Process Mgmt. & Metrics 3

CS 5xx MS Thesis-I/MS Project-I 3

Total 6

Semester – IV

CS/MG Elective – II 3

CS 5xx MS Thesis-II/MS Project-II 3

Total 6


FAST-NUCES 113

FAST-NUCES114


FAST-NUCES 115

BS Civil Engineering

To achieve national and international recognition through innovation in civil engineering education, research and community services.

Program Vision







· Cut-off marks to be determined by the University


· At least 550 score in SAT-II (Math Level IIC)

· Selection is based on marks obtained in NTS NAT IE

· Combined score of 1000 or more in SAT-I, AND





1.1 shall be 100%.

Selection Criteria

Eligibility

· At least 60% marks in HSSC (Intermediate with Pre-Engineering) or an equivalent examination. Those who have taken HSSC or an equivalent examination and are awaiting result can also apply.

· At least 60% marks in SSC (Matric) or an equivalent examination, AND

Civil Engineering degree will prepare you for work in construction industry as well as in relevant business, management and finance sectors. With a solid grasp of science, mathematics and engineering knowledge, you will be able to design, create and build sustainable civil infrastructures to serve the society.


To develop highly competent graduates with sound engineering knowledge, social responsibility and lifelong learning skills enabling them for successful careers in civil engineering profession.

Program Mission

We achieve this mission through both undergraduate and graduate programs by:

· Providing vibrant teaching and learning environment to deliver high quality engineering education.

· Maintaining state-of-the-art curriculum that emphasizes practical applications and provides opportunities for hands-on experience.

· Developing attitude for lifelong learning and instil ethical and social values in our graduates that helps them acquire professional leadership.

· Identifying contemporary issues in civil engineering profession and developing innovative solutions through research.

The objectives of the civil engineering program are to produce graduates who will:

Program Educational Objectives (PEOs)

· Maintain high ethical standards in the conduct of professional practice.

· Successfully engage in contemporary civil engineering practice to solve real-world problems

· Pursue professional growth through continuous learning and experience.

· Attain increasing level of responsibility with interpersonal and communication skills.

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* Registration in CV 482 Final Year Project – I requires at least 103 Credits and CGPA of equal to or greater than 2.00.

For the award of BS Civil Engineering degree, a student must have:

· Earned at least 138 credits through respective core and elective courses offered in study plan, AND

· Minimum CGPA of 2.00

Degree Requirements

Tentative Study Plan for BS (CE)

BS (Civil Engineering)

Domain Cr. Hrs. Civil Engineering 91 Mathematics 11 Natural Sciences 8 Management Sciences 7 Social Sciences 13 Computer Programming

4

Other Engineering 4 Total Cr. Hrs.: 138

Semester – I Pre Req.

CV 108 Engineering Drawing 1+2 CV 105 Civil Engineering Materials 2+1 EE 181 Basic Electro-Mechanical Eng. 3+1 MT 117 Applied Calculus 3 SS 147 English Language Skills 2 SS 148 Pakistan Studies 1

Cr. Hrs. 12+4

Semester – II Pre Req.

CV xxx Engineering Surveying 2+1 MT 203 Differential Equations 3 MT 117 NS 112 Engineering Mechanics 3+1 NS 113 Engineering Geology 2 SS 144 Islamic & Religious Studies 2 CS 115 Computer Programming 1+2

Cr. Hrs. 13+4

Semester – III

CL 206 Intro. to Programming in MATLAB 0+1 CV 221 Fluid Mechanics 3+1 CV 232 Advanced Engg. Surveying 2+1 CV 102 CV 233 Mechanics of Solids – I 2+1 NS 112 MG 227 Engineering Economics 2 SS xxx Social Sciences – I 2 SS xxx Professional Ethics 1

Cr. Hrs. 12+4

Semester – IV

CV 212 Structural Analysis 3 CV 233 CV 202 Cv. Eng. Drawing & Graphics 1+2 CV 108 MT 305 Probability & Statistics 2 CV 234 Quantity Surveying & Estimation 2 MT 221 Numerical Analysis 3 MT 203 SS 311 Technical Communication Skills 2 SS 147 SS xxx Social Sciences-II 2

Cr. Hrs. 15+2

Semester – V

CV 321 Advanced Fluid Mechanics 3+1 CV 221 CV 322 Hydrology & Water Management 3+1 CV 221 CV 312 Architecture & Town Planning 2 CV 311 Plain & Reinforced Concrete – I 3+1 CV 233 CV 231 Soil Mechanics 3+1 SS 227 Tech. Report Writing & Presentation 0+1

Cr. Hrs. 14+5

Semester – VI

CV 410 Steel Structures 3 CV 233 CV 353 Structural Analysis – II 3 CV 212 CV 403 Environmental Engg. – I 2 CV 221 CV 351 Transportation Planning & Engg. 3 CV 102 CV 352 Mechanics of Solids – II 2+1 CV 233 CV 405 Geotechnical & Foundation Eng. 3+1 CV 231

Cr. Hrs. 16+2

Semester – VII

CV 354 Plain & Reinforced Concrete – II 3+1 CV 311 CV 404 Highway & Traffic Engineering 3+1 CV 407 Environmental Engineering – II 2+1 CV 403 CV 416 Fund. of Dynamics & its Application 2 CV 212 NS 402 Geo-Informatics 1+1 CV 482 Final Year Project – I * 0+3

Cr. Hrs. 11+7

Semester – VIII

MG xxx Construction Eng. & Management 2+1 CV 417 Design of Structures 2+1 CV311+CV410 CV 412 Hydraulic Engineering 2+1 CV221 CV 413 Irrigation & Drainage Engg. 2+1 CV322 MG xxx Management Science (Elective) 2 CV 483 Final Year Project – II 0+3 CV 482

Cr. Hrs. 10+7

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· Develop nurturing environment for delivering quality engineering education through discovery and innovation.

· Act as centre of excellence to identify the problems of national industry and to develop innovative solutions.

The mission of School of Electrical Engineering is to

· Show commitment and dedication to teaching by developing state of the art curriculum, grounded in scientific, mathematical and technical knowledge that emphasizes practical applications and provides opportunities for hands-on experience.

· Inculcate lifelong learning and instil ethical and social values in our graduates that helps them acquire professional leadership.

Program Mission

This versatile degree opens careers in different areas of electrical engineering. You could pursue a career in telecom industry, electronics, power sector or in embedded system design and software programming.


· PEO-4: Engineering: Employ

· PEO-5: Leadership: Emerge as team leaders in their domain of expertise and in activities that

themselves in a responsible, professional, and ethical manner.

creative problem solving skills to devise innovative solutions for the complex engineering problems faced by industry, society and environment.

electrical engineering in a broad range of industries

· PEO-1: Versatility: Practice

· PEO-2: Learning: Pursue advances in engineering education

· PEO-3: Conduct: Conduct

support service and economic development, nationally and throughout the world.


For the award of BS (Electrical Engineering) degree, a student must have:


Degree Requirements

Program Educational Objectives



Selection is based on marks obtained in NTS NAT IE





1.1 shall be 100%.









Selection Criteria

Eligibility

· At least 60% marks in HSSC (Pre-Engineering) or an equivalent examination



BS Electrical Engineering

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Tentative Study Plan of BS (EE)

Note

Registration in “Project-I” is allowed provided the student has earned at least 107 credit hours, and his/her CGPA is equal to or greater than the graduating CGPA (2.0)

Domain CreditsComputing 11 Elect. Eng. 76 Other Eng. 7 Management 9 Mathematics 15 Sciences 4 Social Sciences 15

TOTAL 137



EE 116 Intro. to Computing 2+1 ME 102 Engineering Drawing 0+1 MT 117 Applied Calculus 3 NS 110 Physics for Engineers 3+1 SS 101 English Language 3 SS 111 Islamic & Religious Studies 3

Total 14+3

Semester – II Pre-Req.

CS 214 Programming Fundamentals 3+1 EE 116 EE 115 Linear Circuit Analysis 3+1 EE 211 Engineering Workshop 0+1 MT 104 Linear Algebra 3 MT 203 Differential Equations 3 MT 117 SS 113 Pakistan Studies 3

Total 15+3

Semester – III

CS 210 Data Structures. & Algorithms 3+1 CS 214 EE 225 Electronic Devices & Circuits 3+1 EE 115 EE 228 Electrical Network Analysis 3+1 EE 115 MT 306 Multi-Variable Calculus 3 MT 203 MT 220 Complex Vars. & Transforms

3 MT 203

Total 15+3

Semester – IV

EE 223 Signals & Systems 3+1 MT 220 EE 221 Electro-mechanical Systems 3+1 NS110+EE228

EE 227 Digital Logic design 3+1 EE 319 Prob. & Random Processes 3 ME xxx Inter-Disciplinary Course I 3

Total 15+3

Semester – V

EE 303 µP Interfacing & Programming 3+1 CS214+EE227 EE 305 Electromagnetic Theory 3 MT 306

EE 323 Analog & Digital Comm. 3+1 EE223+EE319 EE xxx Breadth Core I 3+1

ME xxx Inter-Disciplinary Course II 3

Total 15+3

Semester – VI

EE 304 Feedback Control System 3+1 EE223 EE xxx Breadth Core II 3+1 EE xxx Depth Elective I 3+1 MG 222 Engineering Economics 3 SS 123 Communication Skills 3 SS 101

Total 15+3

Semester – VII

EE 482 Project – I 0+3 Note 1 EE xxx Depth Elective II 3+1 EE xxx Depth Elective III 3+1 MG 330 Engineering Management 3 SS 142 Technical Report Writing 3 SS 101

Total 12+5

Semester – VIII

EE 483 Project – II 0+3 EE 482 EE xxx Depth Elective IV 3+1 EE xxx Depth Elective V 3 MG 414 Entrepreneurship 3

Total 9+4

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Breadth Core I EE317 Data Comm. & Networks 3+1

Breadth CoreII CS205 Operating Systems 3+1

Depth Electives

CS213 Fund of Databases 3+1

EE309 VLSI Design 3+1

EE320 Digital Design 3+1

EE327 Introduction to IoT 3+1

EE419 Embedded System 3+1

EE421 Computer Architecture 3+1

EE424 Introduction to Robotics 3+0

EE432 Network Programming 3+1

EE437 Applied Machine Learning 3+1

Breadth Core I EE224 Electronic Circuit Design 3+1

Breadth CoreII EE324 Power Electronics 3+1

Depth Electives

EE220 Inst. and Measurement 3+1

EE302 Digital Signal Processing 3+1

EE309 VLSI Design 3+1


EE426 Industrial Process Control 3+1

EE428 Digital Control System 3+0

EE490 Industrial Automation 3+1

Breadth Core I EE431 Power System Analysis 3+1

Breadth CoreII EE430 Power Distribution & Utilization 3+1

Depth Electives

EE324 Power Electronics 3+1


EE433 Power Generation 3+0

EE434 Power System Protection 3+1

EE436 Power Sys. Operation & Control 3+1

EE488 Renewable Energy Systems 3+1

EE489 Electric Power Transmission 3+1

EExxx Advanced Electrical Machines 3+1

Breadth Core I EE317 Data Comm. & Networks 3+1

Breadth CoreII Ee224 Electronic Circuit Design 3+1

Depth Electives

EE308 Microwave Engineering 3+1


EE403 Wireless and Mobile Comm. 3+1

EE406 Fibre Optic Communication 3+0

EE407 Wave Prop. and Antenna Design 3+1

EE416 Telecom Trans. & Switching Sys. 3+1

EE423 Next Generation Networks 3+1

EE484 Radio Electronics 3+1

Specialization Streams Computer System Engineering

Electronic Engineering

Power Systems Engineering

Telecommunication Engineering

· To enrich civil engineers with advanced knowledge and skills required to identify and solve diverse range of complex problems in civil engineering and related fields.

· To pursue life-long learning and continue professional and intellectual development.

· To conduct applied research for rapidly evolving challenges in infrastructure development.

Eligibility BS Civil Engineering or equivalent degree from a recognized university with at least 60% marks or CGPA of at least 2.0 out of 4.0.

* MS Thesis – I registration requirements: Completed 19 credit hours, passed “Research Methodology” course AND a minimum CGPA of 2.50.

Program Objectives

· Performance in NUCES Admission Test 60%

· Past Academic Record (BS Civil Engineering or Equivalent) 40%

Selection Criteria· Transportation Engineering

· Hydraulics and Water Recourses Engineering

· Structural Engineering

MS Civil Engineering program offers courses and research work in the following areas of specializations.

· Geotechnical Engineering

Areas of Specializations

Tentative Study Plan of MS (CE)

Students are required to complete the following courses in a minimum study period of 4 semesters.

** Subjected to the approval of Departmental Graduate Studies Committee.

For the award of MS Civil Engineering degree, a student must complete 31 credit hours as per study plan AND attain a minimum CGPA of 2.50.

Degree Requirements

MS Civil Engineering Research-Based Coursework-Based**

Courses Cr. Hrs. Courses Cr. Hrs.

Core Courses 3 9 4 12 Electives (from respective area of specialization) 4 12 5 15 Research Methodology (register in Semester -I or II) 1 1 1 1 Elective (core/specialization/other offered courses) 1 3 1 3 MS Research Thesis – I * 1 3 NA - MS Research Thesis – II 1 3 NA -

MS Civil Engineering

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The detailed list of specialization/elective courses is available at the department website.

http://lhr.nu.edu.pk/cv/programsHome/

Specialization/Elective Courses:

Core Courses

CV 500 Advanced Structural Analysis

CV 501 Probability and Statistical Methods

CV 503 Foundation Engineering

CV 511 Finite Element Analysis

CV 514 Transportation Planning

CV 515 Hydraulic Structures

CV 517 Pavement Analysis and Design

CV 521 Advanced Open Channel Hydraulics

CV 522 Trans-Boundary Water Issues & Water Diplomacy Framework

CV 594 Advanced Soil Mechanics

CV 599 Optimization Techniques

CV 5012 Forensic Engineering

CV 5014 Principles and Techniques of Ground Improvement

CV 5016 Geotechnical Engineering of Embankment Dams

CV 6xx Space Structures

CV 6xx Geotechnical Design

CV 6xx Advanced Engineering Mathematics

CV 6xx Wind Engineering for Sustainable Structures

CV 532 Spatial Tools in Civil Engineering

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MS (Civil Engineering)

The purpose of the MS program in Electrical Engineering is to attain theoretical and practical depth in one of the areas of interest. The MS (EE) program is structured in such a way as to enhance the student's critical thinking and intuitive abilities using a combination of highly specialized courses and expert supervision. The program aims to produce graduates who will have the abilities and skills to be employed as practicing engineers in fields such as design, research, development, testing, and manufacturing, as well as assuming positions of leadership and responsibility within organizations.

Program Objectives

· The ability to solve advanced engineering problems based on core EE theory.

· A deep understanding of an area of specialization/concentration in electrical engineering.

· An ability to develop leadership skills in the workplace, to function professionally in a globally competitive world, and to communicate engineering results effectively and efficiently.

· An ability to understand and comprehend the applicability of modern tools for research, computation, simulations, analysis, and design.

The MS (EE) program will produce students with:

Tentative Study Plan of MS (EE)

To successfully achieve these objectives, each student will study a number of courses and will work under the supervision of one or more Ph.D. faculty members. As such, the degree program caters for that segment of graduate engineers who desire specialized research-based training in EE.

Performance in NUCES MS subject Admission Test 60%


Selection Criteria

Eligibility

Minimum CGPA of 2.0 (on a scale of 4.0) or at least 60% marks.

Bachelor Degree in a relevant engineering discipline (Electrical, Telecommunications, or Computer engineering, etc.), recognized by Pakistan Engineering Council (PEC).

Typical course load in a semester is four courses. However, NUCES staff cannot register for more than two courses in a semester.


a) Passed courses totalling at least 30 credit hours, including THREE Core courses.

b) CGPA of 2.5 or more.

Award of Degree


Methodology” course; AND

Registration in “Thesis – I” is allowed provided the student has


Semester – I

EE xxx Core Course – I 3

EE xxx Core Course – II 3

SS 505 Research Methodology 3

9 Total

Semester II–

EE xxx Core Course – III 3

EE xxx Elective – I 3

EE xxx Elective – II 3

9Total Semester – III

EE xxx Elective – III 3

EE xxx MS Thesis-I/Elective-IV 3

6 Total

Total

Semester – IV

EE xxx Elective – V 3

EE xxx MS Thesis-II/MS Project/Elective VI

3

6

MS Electrical Engineering

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· Thesis (6 credit hr MS Thesis)

· Course work· Project (3 credit hr MS Project)

A student has the option to pursue MS through



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Program Objectives






Admission on the basis of NTS-NATSelection is based on marks obtained in NTS NAT IE, NAT-ICS, NAT-ICOM, or NAT-IGSCut-off marks shall be determined by the UniversityAdmission on the basis of SAT





1.1 shall be 100%.

Combined score of 1000 or more in SAT-I

Selection Criteria

Eligibility


The 4-years BBA program serves the need of those who are looking for a career in management profession or towards higher education in business administration. Being a program with challenging curricula and contents, it is appropriate for those who have excellent academic record and high potential for success. The BBA degree promises the graduates higher-level employability at the entry level of management profession by helping them in professional and personal development. The program offers a rich blend of general management education, and management skills like communication, decision-making, leadership, teamwork and quantitative methods. It also aims to sensitize the graduates about their social and environmental responsibility.


· At least 50% marks in HSSC or an equivalent examination

For the award of BBA degree, a student must have:



Award of BBA Degree

BBA is a general business degree. Students can choose from a number of pathways as they enter professional life, including general management, marketing, human resource management, finance, business analytics, and operations management. The program also provides the skills needed by potential entrepreneurs, to facilitate those with entrepreneurial inclination, in planning for and launching their business.



BBA-Bachelor of Business Administration (4 years)

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Tentative Study Plan of BBA

Note 1


BBA-Bachelor of Business Administration

Domain Computing Discipline Specific Mathematics Social Sciences

TOTAL

Credits 7 75 13 35 130


CS 114 IT in Business 2+1 MG 108 Fundamentals of Accounting 3 MT 111 Business Math – I 3 MG 223 Fund. of Management 3 SS 149 English – I 3+1

Total 14+2

Semester – II

MG 224 Financial Accounting 3+1 MG 108 MT 118 Business Statistics 3 MG 220 Marketing Management 3 SS 118 Psychology 3 SS 225 English – II 3+1 SS 149

Total 15+2 Semester – III

SS 135 Microeconomics 3 SS 127 Sociology 3 MG 331 Management Accounting 3 MG 224 MT 216 Statistical Inference 3+1 MT 118 SS 223 Business Comm. – I 3 SS 149

Total 15+1 Semester – IV

MG 228 Business Finance 3 MG 224+MT 111 MG 225 Organizational Behaviour 3 MG 223 MG 309 Consumer Behaviour 3 MG 220 MT 223 Business Math – II 3 MT 111 SS 131 Macroeconomics 3

Total 15

Semester – V

MG 311 Financial Management 3+1 MG 228 MG 320 Operations Management 3 MT 111+MT 118 MG 333 Human Resource Mgmt. 3 MG 225 MG Business Elective – I 3 CS 310 Mgmt. Info Systems 3+1 CS 114

Total 15+2 Semester – VI

MG 312 Financial Inst. & Markets 3 SS 131 MG 302 Business Law 3 MG 305 Methods in Bus. Research 3+1 SS 111 Islamic & Religious Studies 3 SS 309 Business Comm. – II 3 SS 223

Total 15+1

Semester – VII

MG 402 Strategic Management 3 MG 223 MG 404 Economy of Pakistan 3 MG 440 Final Year Project – I 3 Note 1 MG Business Elective – II 3 SS/MG Elective 3 SS 113 Pakistan Studies 3

Total 18

Semester – VIII

MG 324 Business Ethics 3 MG 414 Entrepreneurship 3 MG 454 Final Year Project – II 3 MG 440 MG Business Elective – III 3 MG Business Elective – IV 3

Total 15

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Program Objectives

Combined score of 1000 or more in SAT-I



Cut-off marks to be determined by the UniversityAdmission on the basis of SAT







1.1 shall be 100%.



Selection is based on marks obtained in NTS NAT IE, NAT-ICS, NAT-ICOM, or NAT-IGS

Selection Criteria

Eligibility


Accounting & Finance are the most significant and critical areas in a free enterprise. Good financial management is, therefore, vitally important to the economic health of business organizations. However, the constant shifts in economic conditions, intense competition for financial resources and questionable business practices have made financial management a complex and challenging undertaking. The BS Accounting & Finance program is designed to prepare students to meet the challenges posed by this complex but exciting area that has assumed much greater importance in the wake of the recent financial crisis in the world. This crisis has taught us that prudent financial management could mean the difference between a successful and an unsuccessful business enterprise. BS Accounting & Finance is tailored to first impart a broad-based education in the fundamentals of business and management and then develop the quantitative and analytical skills necessary to become prudent, astute and ethical financial managers.


· At least 50% marks in HSSC or an equivalent examination


For the award of BS (Accounting & Finance) degree, a student must have:


Degree Requirements

There are a number of pathways to choose from including audit, taxation, budget analysis, financial accounting and management accounting.



BS (Accounting & Finance) (4 years)

FAST-NUCES126

Tentative Study Plan of BS (A&F)


Note 1


Domain CreditsComputing 7 Discipline Specific 85 Mathematics 13 Social Sciences 26

TOTAL 131


CS 114 IT in Business 2+1 MG 108 Fundamentals of Accounting 3 MT 111 Business Math – I 3 MG 223 Fundamentals of Management 3 SS 149 English – I 3+1

Total 14+2

Semester – II

MG 224 Financial Accounting 3+1 MG 108 MT 118 Business Statistics 3 SS 111 Islamic & Religious Stud. 3 MG220 Marketing Management 3 SS 225 English – II 3+1 SS 149

Total 15+2

Semester – III

SS 135 Microeconomics 3 MG 221 Corporate Accounting – I 3 MG 224 SS Psychology/Sociology 3 MT 216 Statistical Inference 3+1 MT 118 SS 223 Business Communication–I 3 SS 149

Total 15+1

Semester – IV

MG 216 Cost & Mgmt. Accounting 3 MG 224 MG 228 Business Finance 3 MG 224+MT 111

MG 326 Corporate Accounting – II 3 MG 221 MT 223 Business Math – II 3 MT 111 SS 131 Macroeconomics 3

Total 15

Semester – V

MG 302 Business Law 3 MG 311 Financial Management 3+1 MG 228 MG 327 Econometrics 3+1 MT 216 MG 328 Accounting for DM 3 MG 216 CS 310 Mgmt. Info System 3+1 CS 114

Total 15+3

Semester – VI

MG 312 Financial. Insti.& Markets 3 SS 131 MG 305 Methods in Bus. Research 3+1 MG 314 Fin. Statement Analysis 3 MG 224 MG Business Elective–I 3 SS 309 Business Comm.–II 3 SS 223

Total 15+1

Semester – VII

SS 113 Pak Studies 3 MG 339 Investment Anal. & Mgmt. 3 MG 311 MG 427 Audit & Assurance 3 MG 224 MG 440 Final Year Project – I 3 Note 1 MG 444 Business Strategy 3 MG223 MG Business Elective–II 3

Total 18

Semester – VIII

MG 324 Business Ethics 3 MG 416 Financial Risk Mgmt. 3 MG 311 MG 454 Final Year Project– II 3 MG 440 MG 428 Taxation 3 MG 224 MG Business Elective–III 3

Total 15

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Semester – IV

Semester – III

Program Objectives

Performance in NUCES Subject Admission Test and Interview 60%

Past Academic Record (BS) 40%

Selection Criteria

Eligibility

Note: Graduates with business degrees, equivalent to 16 years of education, such as Bachelors of Business Administration, BS Accounting and Finance, Masters in Commerce etc. may get up to 30 credit hours of exemptions, as permitted by the Higher Education Commission of Pakistan.

The FAST MBA 2 years' program is designed for those who have completed 16 years of education. It delivers an in-depth understanding of the dynamics of management practices, and a deeper appreciation of the implications of a rapidly globalizing work environment on businesses. It is designed with the flexibility to cater for the needs of those who have their undergraduate degree in business related subjects, as well as for those who are coming from other disciplines and are making a conversion to the business and management discipline by doing an MBA. There are three distinguishing features of the FAST MBA. First, in line with the vision and mission of the business school, the MBA is designed to keep a balance between local, regional and global knowledge, through integration of local and international teaching material, and experiential learning in the local industry and organisations. Second, in line with the culture and the traditions of FAST, the FAST MBA focuses on technology integration in its courses. Third, the enhanced MBA is designed to integrate cases in many of its level five courses, thus creating a balance between theoretical knowledge and its application on the one hand, and enhancing the technical as well as the analytical skills of the students on the other hand.

A degree earned from a recognized university after 16 years of education with at least 60% marks or a CGPA of at least 2.0 (on a scale of 4.0).

For the award of MBA degree, a student must have:

a) Passed courses totalling at least 60 credit hours (through exemptions and/or by studying a course), including all those courses which have been specified as core courses.

b) Obtained a CGPA of at least 2.5.

Degree Requirements

MBA at FSM prepares students for management positions in general management, marketing, human resource management, finance, data analytics, textile management, and supply chain management, (depending on the specialization offered at various campuses, and subjects selected by the student).



Note 1

A student may register in MBA Project/Dissertation I only after completing at least 30 credit hour of course work (including through exemptions), and after taking the Research Methods course. The CGPA of a student should be greater than 2.5 for registration in MBA Project/Dissertation I/II.

Note 2

Dissertation of 6 credit hours will be done by an individual student.

Tentative Study Plan of MBA

*May be exempted for graduates with business degrees, equivalent to 16 years of education

MG 5008 Accounting for Managers* 3 MG 5009 Marketing* 3 MG 445 Business Eco. for Managers* 3 MG 5010 Appl. Statistics for Business*

3

MG 513 Management and Org. Behaviour*

3

Total 15

MG 5013 Finance for Managers* 3 MG 548 Managerial Economics* 3 MG 5012 Managing Human Resources* 3 MG 450 Business Analytics* 3 MG 546 Research Methods 3

Total 15

MG 599 Financial Reporting & Analysis

3MG 547 Strategic Marketing 3MG 549 Strategic HR and Leadership 3 MG Elective-1 3 MG Elective 2/MBA Project/Dissertation-I

3

Total 15

MG 528 Applied Corporate Finance 3 MG 593 Cases in Management 3 MG 509 Communication for Managers* 3 MG Elective-3 3 MG MBA Project/Dissertation II 3

Total

15

Master of Business Administration (2 years)

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Semester – I

Semester – II

The Masters in Accounting & Finance program offers a rigorous treatment of key areas in accounting and finance. Synthesis of accounting and finance is in high demand among the employers who wish to capitalize on the strength of individuals with a blend of accounting and finance knowledge and expertise in one of these areas. The program is structured so that students can specialize through the appropriate choice of courses offered in both finance and accounting streams.

Program Objectives Eligibility

Note: Graduates with a degree in accounting and finance or commerce or BBA (finance) equivalent to 16 years of education OR Member of ACCA, ICAP or ICMA or other finance/accounting professional bodies whose qualification have been granted equivalence to minimum 16 years of education by HEC may get up to 27 credit hours of exemptions, as permitted by the Higher Education Commission of Pakistan

A degree earned in a relevant subject from a recognized university after a minimum of 16 years of education with at least 60% marks or a CGPA of at least 2.0 (on a scale of 4.0).

MS (Accounting & Finance) prepares graduates for management positions in the finance and accounting functions of a broad range of businesses.


Past Academic Record (BS) 40%Performance in NUCES Subject Admission Test and Interview 60%

Selection Criteria

For the award of Master in Accounting and Finance degree, a student must have:

a) Passed courses totalling at least 60 credit hours (through exemptions and/or by taking up a course), including all those courses which have been specified as core courses.


Degree Requirements


MS (Accounting & Finance) (2 years)

Note 1

Registration in “MS Thesis-I” is allowed provided the student has

b) CGPA is equal to or more than 2.5.

a) Earned at least 30 credits (including through exemptions), AND

*May be exempted for graduates with an undergraduate degree in the areas specified in the eligibility criteria.

Semester – I

MG 446 Financial Accounting-I* MG 423 Financial Management* MG 445 Business Eco. for Managers* MG 302 Business Law* MG 506 Quantitative Methods*

3 3 3 3 3

Total 15

Semester – II

MG 331 Management Accounting* MG Financial Accounting – II* MG 444 Business Strategy* MG 567 Advanced Research Methods MG Elective A/F – I*

3 3 3 3 3

Total 15

Semester - III

MG 599 Financial Reporting & Analysis MS 504 Corporate Governance & Ethics MS 506 Accounting Strategy and Control MG 591 MS Thesis – I MG Elective A/F – II

3 3 3 3 3

Total 15

MG 528 MG 505 MG MG 592 MG

Semester – IV

Applied Corporate Finance Developing Financial Products Assurance Services & Tax Practice MS Thesis – II Elective A/F – III

3 3 3 3 3

Total 15

Tentative Study Plan of MS (A&F)

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Eligibility · A Bachelor's degree in a

relevant subject, earned from a recognized university after a minimum of 16 years of education with at least 60 percent marks or a CGPA of at least 2.0/4.0 or equivalent. The students must have taken two courses in each of the main streams of Accounting, Finance, Marketing and Management. AND

· A minimum of 50% marks and at least 50 percentile rank in NTS in the NTS GAT-General OR at least 1,800 score (out of 2,400) in International GRE and at least 4 out of 6 in analytical writing. The scores should be valid at the time of admission.

Program OverviewThe MS in Management Sciences program is designed to develop the intellectual ability of researchers through understanding the academic body of knowledge in the field of Management Sciences with specializations in Human Resource Management, Marketing and Finance. Aligned with the mission of the School, that is, to discover and impart culturally and globally relevant knowledge in management sciences, the program is designed to facilitate scholars uncover the classic and recent global and regional body of knowledge and prepare them to generate knowledge and solutions, particularly for local and regional businesses, industry and society. The program is essentially research oriented and focuses on academic research having practical applications in real life. It is primarily suitable for those who want to pursue a career in academia but is also appropriate for those who want to pursue professional careers where advanced data analysis and report writing skills are required. The program can also help candidates evaluate their aptitude, strengths and weaknesses for their candidacy in PhD programs.

The MS in Management Sciences program is an excellent step for those who aspire to have a career in academia, and plan on pursuing a PhD. For those interested in management positions, the MS program develops more research, analytical and writing abilities than the MBA program. Graduates may take up positions in general management, marketing, human resource management or finance, depending on the subjects selected by the student.


The key learning outcomes of the MS program are:

· To cultivate the desire, knowledge and ability to conduct research

independently.

· To develop the intellectual ability to think broadly and more deeply about the theory, beliefs and values at the root of business activities.

· To contribute towards the development of new ideas, theories and business models.

Past Academic Record (BS) 40%Performance in NUCES MS subject Admission Test and Interview 60%

Selection Criteria


MS (Management Sciences) (2 years)



a) Passed courses totalling at least 30 credit hours, including all those courses which have been specified as core courses.

Degree Requirements

Registration in “MS Thesis-I” is allowed provided the student has

b) CGPA is equal to or more than 2.5.

a) Earned at least 18 credits, AND

Note

The electives can be taken from graduate level courses in the Faculty of Management Sciences with the recommendation of the supervisor.

MG 567 Advanced Research Methods 3MG 595 Seminars in Management 3 MG 500 Financial Theory & Research 3

Total 9

MG 568 Research in Marketing 3MG Elective-I 3MG Elective-II 3

Total 9

MG Elective-III 3 MG 591 MS Thesis-I 3

Total 6

MG Elective-IV 3MG 592 MS Thesis-II 3

Total 6

Tentative Study Plan of MS (MS)

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Semester – I

Semester – II

Semester - III

Semester – IV

Programs in Sciences and Humanities

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Program Objectives

Past Academic Record (BS) 40%Performance in NUCES subject Admission Test 60%

Selection Criteria

Eligibility There is an ever-growing demand of trained English teachers. Colleges, universities, and language schools, all need qualified English teachers. English has now become more than a mere language. It is a bridge across borders and cultures, and a source of unity in a rapidly evolving world. This program shall enable students to learn how linguistic analysis can be used in practice in the vast arena of Language with specializations in Computer Assisted Language Learning (CALL), Computational Linguistics (CL), English Language Teaching (ELT), and English for Specific Purposes (ESP). This program inculcates specialized skills to effectively perform teaching of English language. This program integrates Language and computing skills.

· Master degree in ELT, TESL, English Literature or a related discipline AND

· At least 55% marks ORCGPA of at least 2.0 (on a scale of 4.0)



a) Passed courses totalling at least 30 credit hours, including all those courses which have been specified as Core courses

Degree Requirements


· To integrate ICT (Information and Communication Technologies) in Teaching of English Language.

· To produce qualified teaching resource.

· To develop collaborative

· To encourage teachers to be critically engaged in advanced research in English language teaching and learning.

e-learning resources for teaching.

MS (Applied Linguistics)

Note

Registration in “Thesis – I” is allowed provided the student has


Methodology” course; ANDc) CGPA is equal to or more than

2.5.

Semester – I

SS 501 Comp. Assisted Lang. Learning 3SS 502 Fund. of Language & Linguistics 3SS 503 Computational Linguistics 3

Total 9

Semester – II

SS 505 Research Methodology 3 SS 5xx Specialist Module – I 3 SS 5xx Elective – I 3

Total 9

Semester – III

SS 591 Thesis-I 3SS 5xx Specialist Module – II 3

Total 6

Semester – IV

SS 592 Thesis-II 3 SS 5xx Elective – III 3

Total 6

Tentative Study Plan of MS (AL)

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For the award of MS degree,

a) Passed courses totalling at least 31 credit hours, including four core courses.

a student must have:

Award of Degree

Core Courses (Must pass any Four of the following courses)

MT502 MT505 MT506

MT507 MT 513 MT 610 MT xxx MT xxx

Advanced Mathematical StatisticsAdvanced AlgebraAdvanced Functional Analysis

Advance topics in Real & Complex Analysis

Advanced Number TheoryAdv. Num. Solutions of ODEsNumerical Solutions of PDEsAdvanced Integral EquationsAdvanced Riemannian Geometry

Mt527

MS (Mathematics)

Program Objectives

Performance in NUCES MS subject Admission Test 60%

Past Academic Record (4-year Bachelor OR 2 year masters) 40%

Selection Criteria

Eligibility Degree in relevant subject, earned from a recognized university after 16 years of education with at least 55% marks (under annual system) OR CGPA of at least 2.0 (on a scale of 4.0) in the most recent degree program.


· To construct, analyse and interpret mathematical models for real-life problems, drawing from a wide range of areas of mathematics.

· To learn novel mathematical concepts, methods and tools for application in the applied fields.

· To bridge the gap for mathematicians between financial academic institutions.

· To integrate relevant knowledge and pose new questions across a range of pure and applied mathematics.

· To provide a background of mathematics for research and development.

MS (Mathematics) program at NUCES is committed to provide an excellent major for students, whose career goals are teaching, immediate entry into allied arenas or pursuit of a higher research degree in mathematics. This program will enable students to develop quantitative and abstract reasoning by using mathematics as an analytical tool. In fulfilling this mission, the department has created an environment for quality instruction to all students in Mathematics courses and nurturing a pleasant and constructive faculty-student interface.

Mission Statement

Tentative Study Plan of MS (Mathematics)Typical course load in a semester is four courses. However, NUCES staff cannot register for more than two courses in a semester.

Semester – I

MT Core Course – I MT Core Course – II 3MT Elective – I 3MT Elective – II

Total

Semester – II

MT Core Course – III MT Core Course – IV MT Elective – III MT Elective – IV 3

Total

Semester – III

SS 505 Research Methodology 1 1 MT 591 MS Thesis – I 3

Total 4

3

3

12

333

12

A student has the option to pursue MS either by undertaking a 6 credit hour MS Thesis, or by taking a 3 credit-hour Research Survey plus one taught course.

Registration in “MS Thesis – I” is allowed provided the student has




FAST-NUCES 133

Semester – IV

MT 592 MS Thesis – II Total

33

134 FAST-NUCES

PhD (Doctor of Philosophy)

FAST-NUCES 135

Islamabad Karachi

Lahore

Peshawar

Civil Engineering Yes

Computer Science Yes Yes Yes

Electrical Engineering Yes Yes Yes

Management Sciences

Yes

Yes

Mathematics

Yes

Software Engineering Yes

University offers the following PhD programs at its campuses.

Yes

Yes

Chiniot.Faisalabad

Yes

Phd Program

The PhD program requires candidates to undertake a number of graduate level courses, pass a qualifying examination, and then carry out research in a chosen area. The candidates are required to publish research papers in journals of international repute.

Program Objectives

· Enable students to produce publishable research for journals and conferences of international repute

· Enable students to conduct independent research

· Impart in depth knowledge and application of methodology to investigate original research problems through a systematic and focused approach.

Program Outcomes

· Students will be able to conduct and supervise independent research and can produce knowledge

· Students will be able to publish research papers in journals and conferences of international repute

· Students will be able to exhibit specialized knowledge and ability to use appropriate research methodology in the relevant field of study

· Students will be able to conduct systematic and focused research

Admission is based on candidate's performance in the following:

· M inimum 60% marks and at least 50 percentile rank in NTS-GAT Subject or International GRE Subject Test, AND

· I nterview (to assess research potential)

Selection Criteria

Eligibility Degree in a relevant subject, earned from a recognized university after 18 years of education with minimum 3.0 CGPA (out of 4.0 in the Semester System) or First Division (in the Annual System) in M.Phil/M.S/Equivalent is required.

PhD coursework comprises 6 courses (total 18 credit hours). In addition, one credit hour course “SS 511 Research Methodology” must also be passed; unless already passed during MS coursework.

PhD Coursework

The student becomes eligible to appear in the Comprehensive Examination after passing the PhD coursework with a minimum CGPA of 3.0. This exam must be passed within two years of admission, failing which the admission shall be cancelled.

Comprehensive Examination

PhD Thesis must contain original research work.

PhD Thesis

After completing research work and publication of at least one research paper based on the PhD research in an HEC approved “W” or “X” category journal (“Y” category in case of social sciences only), student can submit the thesis through his/her supervisor to GSC. Articles published in ISI master list are also acceptable for the award of PhD degree.

Research Paper

The Plagiarism Test shall be conducted on the Thesis before its submission to foreign experts.

Plagiarism Test

The PhD thesis shall be evaluated by at least two experts from technologically/academicallyadvanced countries. A thesis defence shall only be arranged if favourable evaluation reports are received from both the foreign experts.

Evaluation by TWO Foreign Experts

If the foreign evaluators recommend that the work is acceptable for award of PhD, then a local committee, comprising two local experts and an internal evaluator, is constituted. The thesis is sent to all three members of this committee.

Local Expert Evaluation

After receiving positive comments from the local experts, the student is expected to defend his/her work before this Committee. The student will be declared successful after the local Committee approves the work.

Open Defence

PhD (Doctor of Philosophy)

FAST-NUCES136

· Research Productivity Awards are given to faculty for publishing in high quality international journals.

· Seed Research Funding grants are given to faculty joining NUCES to assist them in starting their research activities.

· Start-up Challenge Grant program provide competitive grants to graduating students who have innovative ideas with a potential of commercialization.

· PhD Fellowship Program at NUCES provides generous monthly stipend to PhD students that allows them to focus on their research activities.

· Distinguished Speakers Program allows national and international distinguished professors to visit NUCES campuses for seminars and workshops

· Student Local Publication Grant provides support to students who publish their research in local quality conferences.

· Develop, maintain, and communicate pre and post award administrative procedures for externally sponsored projects.

· Mentor the promising start-ups during initial period when they are most susceptible.

· Assist in patent filing and licensing.

· To promote the culture of research in the University.

The Office of Research, Innovation, and Commercialization (ORIC) at National University of Computer and Emerging Sciences (NUCES) is playing a significant role in supporting various research, innovation, and commercialization activities at the university. At NUCES we believe in the value of applied research, which targets the local problems being faced by Pakistan. Our faculty is involved in applying state-of-the-art research and innovation practices to achieve this. Our research labs at various campuses are working in close collaborations with local industry and national and international academic partners to provide novel, innovative, scalable solutions to the local needs. We are working in close collaboration with the defence sector of Pakistan, including NESCOM and Pakistan Aeronautical Complex, health sector, and various industry partners to apply our research finding in practice. The ORIC office is playing a fundamental role in supporting these initiatives, from inception of a research idea to developing of innovative solutions and commercialization. ORIC also works on capacity building and facilitates researchers in the processing of project/research grants.

Overview

· To work as per directives of Higher Education Commission.

· Educate faculty and students about various national and international funding opportunities.

· Connect faculty and students with prospective industrial partners.

· Assist students, faculty and alumnus in pursuit of technological or social innovations.

Functions

NUCES provides a number of generous funding opportunities from its Research and Development funds to its faculty and students for conducting and dissemination research, developing innovative solutions and commercialization.

Internal Funding Opportunities

Rs. 1 Million to support their research activities. Through this grant, a number of undergraduate and graduate students are given scholarships and stipends.

· The Grant for International Conference Travel covers the complete travel cost of its faculty members publishing in top quality international conferences.

· The Faculty Research Support Grant provides NUCES faculty members with individual research grants of upto

Office of Research, Innovation and Commercialization (ORIC)

ORIC TeamName Designation

Dr. M. Zohaib Zafar Iqbal Director ORIC

Mr. M. Aatif Saif Khan Manager ORIC

Ms. Khush Bakhat Awar

Research Officer

Ms. Aysha Shafiq Officer (Career Services, CFD campus)

Ms. Amna Ali Khan Deputy Manager (Career Services, Isb campus)Mr. Muhammad Imran Assistant Manager (Career Services, Isb campus)Mr. Ovais Mustafa Officer (Career Services, Khi campus)

Mr. Bashir Muhammad Deputy Manager (Career Services, Lhr campus)Ms. Aqsa Sarfraz Assistant Manager (Career Services, Lhr campus)Mr. Faisal Mahboob Officer (Career Services, Pwr campus)

FAST-NUCES 137

Organogram

Our core team is reinforced by career services offices in the campuses.

· The various campuses of NUCES organized five international conferences in the last year, including the IEEE Pakistan flagship conference,

· NUCES signed over 45 Memorandums of Understanding with diverse national/ international universities and industrial organizations to further develop our academic

The department has made notable progress in a short time as reflected under:

International Multitopic Conference (INMIC) 2019 at Islamabad Campus, and IEEE Islamabad section flagship conference, International Conference on Emerging Technologies (ICET) 2019 at Peshawar campus. The conferences were featured by talks from top international and local speakers.

· The faculty at NUCES is currently executive research projects worth over Rs. 255 million at various NUCES campuses, this includes the research labs being developed as part of National Centre in Big Data and Cloud Computing and National Centre for Robotics and Automation.

Accomplishments · 23 students were selected for

international internship programs under AIESEC and IAESTE.

· A number of industry-academic collaboration events were conducted at NUCES campuses throughout the year, including the 'Industry Academia Day' at Islamabad campus, which involved representation of over 40 organizations from twin cities.

and industrial collaborations.

· Yearly business plan competitions for student start-ups are conducted across all campuses. ORIC has developed Business Incubation Centre (BIC) toolkit that is shared with prospective start-ups for their mentoring.

Rector

Director ORIC

Career Services Officers

Manager ORIC

Research Officer

FAST-NUCES138

Office of Research, Innovation and Commercialization (ORIC)

Directorate of Quality Assurance (DQA) implements internal quality assurance (IQA) mechanism of the University. QECs (Quality Enhancement Cells) are established in all campuses and are run as per HEC guidelines. QEC of NUCES is constantly maintaining its points above 90% in HEC annual quantitative assessment. This achievement in IQA directly contributes in achieving higher accreditation status from relevant accreditation councils, working under external quality assurance (EQA) mechanism of HEC. Further, higher QEC level also contributes towards better score in HEC annual ranking of universities. The recognition at both IQA & EQA

DQA is member of International Network for Quality Assurance Agencies in Higher Education (INQAAHE), American Society for Quality (ASQ), and Association of Quality Assurance Agencies of the Islamic World (AQAAIW). These memberships offer ample opportunities to collaborate with international members for benchmarking and standardization of best practices. Moreover, the QEC staff also participates in their international events, both as a significant contributor and participant.

clearly demonstrates University's efforts to burgeon quality standards of education at all levels.

· Promoting public confidence that quality and standards for award of degrees are enhanced and safeguarded.

· Reviewing quality standards and quality of teaching and learning in each subject area.

· Reviewing academic affiliations with other institutions in terms of effective management of

DQA is responsible for:

Directorate of Quality Assurance is headed by a Director, reporting directly to the Rector. DQA Director is the correspondent with outside bodies.

standards and quality of programs.

· Defining clear and explicit standards as points of reference for reviews to be carried out.

· Developing qualifications framework by setting out the attributes and abilities that are expected from the holder of University qualification.

· Developing program specifications. These are standard set of information clarifying what knowledge, understanding, skills and other attributes a student will have developed on successfully

DQA Staff

Directorate of Quality Assurance

DQA StaffName Designation Location Dr Farrukh Idrees Director University HeadquartersMr Sekandar Riaz Asst. Manager Chiniot-Faisalabad campus

Ms Urooj Laghari Asst. Manager Karachi campusMs Bushra Majeed Officer Lahore campusMr Umer Yaseen Officer Lahore campusMs Maria Ibrar Deputy Manager Peshawar campus

Mr Yasar Iqbal Deputy Manager Islamabad campus

FAST-NUCES 139

· Developing quality assurance processes and methods of evaluation to affirm that the quality of provision and the standard of awards are being maintained and to foster curriculum, subject and staff development, together with research and other scholarly activities.

· Developing procedures for the following:

· Ensuring that the university's quality assurance procedures are designed to fit in with the arrangements in place nationally for maintaining and improving the quality of Higher Education.

completing a specific program.

· Provided facilitation in conducting of accreditations for all programs e.g. PEC, NCEAC, NBEAC, etc.

· Contributed in academic literature of quality in higher education, both at national and international levels.

· Periodic training sessions for capacity building of Program Teams are arranged in all campuses.

· Continual training of Faculty on quality assurance in higher education.

review visits in all campuses, as per HEC requirement's.

· Standardized quality assurance activities across all campuses through implementation of QEC Annual Activities Calendar, and rigorous periodic follow up through various channels.

· Preparing reports on feedback from various stakeholders to enhance quality of education: Faculty satisfaction, Alumni Survey, Employers' Survey, Survey of Graduating Students, Student Feedback, Course Feedback, and Faculty Course Review Reports are prepared for management consumption on regular basis.

· Nominated QEC Assessment Committees comprising competent senior resources from various well reputed universities of Pakistan.

· Periodic training sessions for capacity building of Program Teams are arranged in all campuses.

· Launched HEC structured questionnaires for measuring feedback from various stakeholders to enhance quality of education: The stake holders included Faculty, Alumni, Employers, Graduating Students, Current Students, and Faculty.

· Won INQAAHE Scholarship four

· Continuous follow up for corrective actions on deficiencies identified by Assessment Committees.

· Contributed in various conferences on quality in higher education; at national and international levels in Pakistan and abroad.

· Registered in INQAAHE/APQN Database of approved consultants

times for attending INQAAHE Biennial Conference in Quality of Higher Education in USA, Fiji, Bahrain, and Mauritius.

· Standardized quality assurance activities across all campuses through implementation of QEC Annual Activities Calendar and periodic follow up through monthly all campuses QEC meetings through video conferencing.

· Implemented quality assurance mechanism of MS/PhD programs as per HEC guidelines and requirements.

· Contributed in Eight HEC national workshops on quality in higher education as resource person

· Represented the University at all HEC-QAA all Pakistan phase wise meetings.

· Acted as technical service consultant of Asian Productivity Organization (APO-Japan) to train more than 25 quality assurance professionals of Fiji Higher Education and other academic organizations in Republic of Fiji.

· Acted as HEC resource person in several training workshops at national level to train faculty, staff, and QEC professionals of public and private sector universities.

· Obtained news coverage in INQAAHE and HEC News Bulletins on regular basis.

· Acted as Tertiary Education Support Program (TESP) resource person for training faculty and staff of 45 public sector universities of Pakistan.

· Arranged and contributed in 7 outcome based education workshops, as per accreditation council's requirements.

· Quality assurance of all degree programs

· Subject review

· Employer feedback

· Departmental review

· Approval of new program· Annual Monitoring and

evaluation including program monitoring, Faculty monitoring, and student perceptions

· Student feedback

· Institutional assessment

Accomplishments of DQA

· Followed up with corrective actions on deficiencies identified by the Assessment Committees during their self-assessment visits.

Evaluation (IPE).

· Facilitated MS/PhD program

Following are some of the accomplishments of the Directorate of Quality Assurance at national and international levels:

· Conducted IPE in various campuses as a part of HEC internal quality assurance mechanism.

· Conducted self-assessment of all programs against eight criteria and thirty-one standards of HEC Quality Assurance Policy:

· Facilitated university wide HEC Institutional Performance

FAST-NUCES140

Directorate of Quality Assurance

Admission to the university is based on merit only. There are no quotas, reserved seats or admission through donation. Moreover, there is no age limit for the applicants. Merit is determined either through University's own admission test or an equivalent test conducted by a reputable organization.

Foreign Nationals

Candidates awaiting their FA/FSc/A-level results can also apply. They are given provisional admission subject to passing the examination with required marks. If a candidate fails to qualify the exam, then the admission shall stand cancelled. The tuition fee shall be refunded as per HEC guidelines. Such students MUST immediately inform the university about their result along with an application for the refund of dues.

Candidates Awaiting Result

Admissions 2020-21

At the time of admission, foreign nationals must submit a No Objection Certificate (NOC) from the Ministry of Education, Government of Pakistan.

Admission on the basis of score obtained in NTS (NAT or GAT) ExamThose who have taken NTS-NAT examination (in the previous six months) can apply for admission to Bachelor degree programs.Applicants who have taken NTS-Subject test can apply for admission in PhD programs.

SAT and GRE ExaminationsThose who have taken SAT examination can apply for admission to the Bachelor degree programs. Those who have taken the GRE (subject test) can apply for admission to MS, MBA or PhD programs. Test date of SAT or GRE MUST be after July 1, 2018.The institution code for receiving SAT score is 4575, and GRE score is 7386.

8. After payment of the Application Processing Fee, the applicant MUST print his/her ADMIT CARD bearing the date, time, venue and ARN.

6. Applicant will deposit the Application Processing Fee in the designated Bank. Application fee is non-refundable/ adjustable.

programs, there are two types of admission tests. For MS and PhD programs, there is a different admission test for each program.

7. Applicant will confirm that information entered in the Admission Application Form is correct. In case of incorrect information, the University has the right to cancel the application and/or admission without refund of any fee.

9. The applicant should then visit the test campus on the date and time specified on the Admit Card. Candidates without admit cards will not be allowed to take the test.

Admission ProcedureAdmission Application Form must be

filled online at the University's admission website:

admissions.nu.edu.pk.

3. Application processing fee of Rs 1,500 is payable by each

applicant.

Applications are not accepted through post or by hand.

4. If an applicant wants to apply for admission to more than one campus, then Rs 500 is payable for each additional campus.

5. If an applicant wants to take more than one type of Admission Tests, then Rs 500 is payable for each additional type of Test. Each type of admission test can be taken only once. For Bachelor

2. The online system assigns a unique Application Reference Number (ARN) to each applicant, which must be noted for later use.

Admission Information

FAST-NUCES 141

NU Online Admission Test (NU-OAT)

admissions.nu.edu.pk

Information on Online Admission Tests conducted by the university is available on the University's admission web-site:

The online admission test is taken on a computer. The candidate should be familiar with the use of mouse and the keyboard. Each candidate is given a different examination. The sections of a test (English, Analytical skills, Math, etc.) appear in a random order. Moreover, questions related to different sections appear before the candidate in a random order. In each section, a candidate can move forward and backwards to review the responses selected. The candidate can change his or her response to any question within the current section.Applicants should reach the test centre on the date and time specified on the admit card. Latecomers will not be allowed to take the test. Applicants should not bring anything to the test centre except their Admit Cards. No applicant will be allowed to take the test without an endorsed Admit Card. The Admission Test is held at all campuses of the University (Karachi, Lahore, Islamabad, Peshawar and Chiniot-Faisalabad).

Use of calculators is not allowed in the tests.

Preparation of Merit ListMerit Lists are prepared separately for each campus. For BBA and BS programs, 50% weight is assigned to marks obtained in the Admission Test (online NU Test or NTS exam). Remaining 50% weight is assigned to Intermediate/A-level marks. If Intermediate marks are not available, then Matriculation/O-level marks are used after a reduction of 10%.

Cancellation of Admission TestThe university reserves the right to cancel the admission test of any candidate who is found involved in any illegal activity or for violating rules and regulations during the test.

Announcement of Selected ApplicantsSelected candidates are informed through SMS on their cell phones and also via email. The candidates should also check the status of their admission at the University websites: admissions.nu.edu.pk or www.nu.edu.pk using their ARN.

Cancellation of AdmissionIf a student is involved in any undesirable or illegal activity, then the University reserves the right to cancel the admission of that student. Moreover, the University reserves the right to cancel admission of any student at any time, if it is found that he/she has submitted false information/documents.

Following is a topical distribution of admission tests for different degree programs:

English 15 % Essay Writing 15 % Analytical Skills & IQ 30 % Basic Math 40 %Adv. Math -

Physics -

10 % -

20 % 20 %40 %

10%

Section/Topic % ageEnglish 10%Essay Writing 30%Analytical Skills & IQ 20%

Quantitative Methods 20% Business Related Knowledge 20%

Section/TopicEnglishEssay WritingAnalytical Skills & IQAdv. MathSpecialization Area Quantitative Methods

% age10 %5 %

20 %10 %40 % 15 %

Section/Topic BBA &

BS (A&F)

BS (CS & Engineering)

Admission Test composition for MS Programs

Admission Test composition for MBA Programs

Admissions 2020-21

FAST-NUCES142

BS & BBA MS, MBA & PhD Application Submission Jul 20 –30 (Mon-Thu) Jul 20 –30 (Mon-Thu) Admission Tests Aug 4 – 13 (Tue-Thu) Declaration of Test qualified candidates Aug 17 (Mon) Aug 17 (Mon) Interviews Aug 19–28 (Wed-Fri)

(Financial Aid Applicants) Aug 19 - 21 (Wed-Fri) (Graduate Admissions)

Admission Formalities Aug 19– 28 (Wed-Fri) Aug 19 - 28 (Wed-Fri)

Fall 2020 Spring 2021 Registration Aug 25 – 28 (Tue-Fri) Jan 19 - 22 (Tue-Fri) First Day of Classes Aug 31 (Mon) Jan 25 (Mon) First Session Examinations Oct 5 - 7 (Week 6) Mar 1 - 3 (Week 6) Second Session Examinations Nov 9 - 11 (Week 11) Apr 5 – 7 (Week 11) Last Day of Classes Dec 18 (Fri) May 13 (Thu) Final Examinations Dec 22 - 31 (Tue-Thu) May 25 – Jun 4 (Tue-Fri) Announcement of Results Jan 15, 2021 (Fri) Jun 11 (Fri)

Month of Ramadhan (2020) 25th April – 23rd May Month of Ramadhan (2021) 15th April – 13th May

2020 2021 Kashmir Day Feb 5 Wed Feb 5 Fri Pakistan Day Mar 23 Mon Mar 23 Tue

Labour Day May 1 Fri May 1 Sat Eid-ul-Fitr * May 25-26 Mon-Tue May 14-16 Fri-Sun Eid-ul-Adha * July 31-Aug 2 Fri-Sun Jul 21-Jul 23 Wed-Fri Independence Day Aug 14 Fri Aug 14 Sat Ashura * Aug 29-30 Sat-Sun Aug 19-20 Thu-Fri Eid Melad-un-Nabi * Oct 30 Fri Oct 20 Wed Quaid’s Birthday Dec 25 Fri Dec 25 Sat

* Subject to Lunar calendar

Campus 2020 2021 Islamabad Sep 5 (Sat) Feb 27 (Sat) Chiniot-Faisalabad Sep 12 (Sat) Karachi Sep 19 (Sat) Feb 13 (Sat) Peshawar Sep 26 (Sat) Lahore Oct 3 (Sat) Feb 20 (Sat)

Academic Calendar for 2020-21

Holidays in 2020 & 2021

Admission Schedule for 2020

Convocations 2020-2021Convocations are planned to take place at the campuses on the following dates.

Admissions 2020-21

Admission & Academic Schedules

FAST-NUCES 143

No Admission Test

Fee Information

A. Fee Categories:1. Admission Fee

3. Tuition Fee

4. Students Activities Fund

Tuition fee for all Campuses and Programs is Rs. 9,500 per credit hour.

Tuition Fee is payable in full before the start of each semester, and is subject to revision every year. For the academic year 2020-21 the tuition fee is as follows:

5. Miscellaneous Fees

Master and PhD Programs

Admission Fee of Rs. 20,000 is payable once at the time of admission. If a graduate of this University is admitted to a higher degree program, then admission fee is not payable again.

To support co-curricular and extra-curricular activities, all registered students contribute Rs. 2,000 per semester towards Students Activities Fund.

Tuition fee for all Campuses and Programs is Rs. 9,000 per credit hour.

Bachelor Degree Programs

A refundable security deposit of Rs 20,000 is also payable at the time of admission.

2. Security Deposit

6. Withholding Tax

Parents/Guardians are required to provide NTN or CNIC number, so that they can get it adjusted when they file their Income Tax return.

The University collects Advance Tax (on behalf of the government) @ 5% on the entire amount of fee, provided payable amount exceeds Rs 200,000 in a fiscal year (July to June).

Admissions 2020-21

Additional Transcript Fee Campus Transfer Fee Degree Correction Fee Semester Freeze Fee

Rs. 200 Rs. 5,000 Rs. 2,000 Rs.10,000

These fees are non-refundable.

B. Fee Refund Policy1. Admission Fee is non-refundable.2. Security deposit is refundable at

the time of completion of degree or closing of admission.

3. Tuition Fee and Student Activities Fund is refunded in accordance with the guidelines of Higher Education Commission (HEC).

Up to 7th day of start of classes From 8th-15th day of start of classes From 16th day of start of classes

Refund % age

Full (100 %)

Half (50 %)

No Refund

Note: Days include both working days and holidays

After declaration of result, admission of a student stands cancelled if he/she fails to meet the required eligibility requirement for admission. If the result is announced after start of classes, then Fee refund is calculated from the date of result announcement.

C. Late Payment FineLate payment fine is levied on the entire outstanding fee (current as well as arrears). It is charged at the rate of Re 1 per day for every thousand rupees.

FAST-NUCES144

Financial Assistance/Scholarships

Admissions 2020-21

ii. It shall not be available for repeat or withdrawn course. This implies that it is available for studying a course only once.

iii. It is suspended if the student's CGPA falls below the minimum specified to avoid warning and shall be restored upon getting out of warning by improvement in CGPA.

iv. It shall be, limited to tuition fee only.

1. Merit Scholarships for Bachelor Students

Scholarship is also offered to top three position holders in the NU admission merit list of each campus.

2. Study Loan Realizing that fees may not be

affordable for some of the students, FAST-NU arranges financial assistance in the form of interest-free study loans for bright indigent students.

Rules for Internal Sponsorships:i. I nternal sponsorships are

available for regular semesters (Spring and Fall) only. Following is the maximum number of semesters for which it can be availed.a) Bachelors 8 semestersb) Masters 4 semestersc) PhD 6 semesters

Merit scholarship is awarded to the Top THREE position holders of each Examination Board.

A. Internal Sponsorships: B. External Sponsorships:

Endowment Board

Awarded as per provincial laws and regulation.

Endowment Fund (PEEF)

In addition to the above scholarships there are various community based scholarships offered by various committees and foundations such as, Memon Community Scholarships, Bohra Community Scholarships, Agha Khan Foundation Scholarships, Ihsan Trust Sponsorship, General Rafaqat Memorial Scholarship, etc

Endowment Fund (BEEF) Scholarships

iii. Baluchistan Education

The Higher Education

Scholarships

i. Sindh Government

ii. Punjab Educational

1. Provincial Assistance:

2. HEC Scholarships for MS and PhD students

Scholarships

Commission (HEC) provides liberal scholarships to students desirous of studying for MS and PhD degrees at this university. The scholarship covers tuition fee, monthly stipend and book allowance.

3. OSAF Scholarships OSAF (Old Students Association

of FAST) arranges financial assistance for those students who cannot afford to pay their full fee.

4. Other Scholarships

FAST-NUCES 145

Transport & Hostel Facilities

Transport Facility

Karachi

The university does not have transport arrangement at Lahore campus.

The University arranges secure and safe, comfortable buses and coasters to pick students from selected points in different localities of Karachi. The transport facility is available on subsidized self-finance basis.

Chiniot-Faisalabad

Lahore

The University has arranged buses to operate between the campus and designated points in various localities of Faisalabad. This transport facility is available on self-finance basis.

IslamabadThe university provides pick and drop transport service to students from designated routes in Islamabad, Rawalpindi and Wah.

PeshawarThe university provides limited transport facility to pick and drop students from selected points in Peshawar city to the campus. This facility is available on self-finance basis.

Admissions 2020-21

Hostel FacilityAt Chiniot-Faisalabad campus, a state of the art boys hostel is available on campus, which accommodates more than 400 students and faculty.

At Karachi Campus, separate hostels for boys and girls in safe areas of Karachi City have been arranged. Limited accommodation is available on first come first served basis for out of station students only.

Other campuses do not have hostels on their premises.

FAST-NUCES146

Academic Rules & Regulations

Students are required to maintain 100% attendance in lectures, labs, tutorials, seminars and discussions as prescribed by the course instructor. Absence of a maximum of 20% of the total lectures may be condoned for genuine reasons, such as illness. Failure to meet attendance requirements will render a student ineligible to appear in the final examination of the concerned course.

Each course is assigned credit hours. For theory courses 1 credit hour means 1 hour of lecturing per week, while for lab courses 1 credit hour means 3 hours of lab-work per week. For example, a 3+1 credit hour course carries 3 hours of lectures and 3 hours of lab-work per week. Normal course load for undergraduate students is as prescribed in the study plan.

1. Attendance Requirement

The medium of instruction and examinations for all courses is English (except language courses where it may be different). However, students may opt to answer the 'Religious and Islamic Studies' examination in either English or Urdu.

3. Academic Year Academic Year of the university

starts in August and ends in June of the subsequent year. It comprises of two regular 18-week semesters, namely, Fall and Spring.

4. Semester Course Load

5. Academic Grading The performance of students is

2. Medium of Instruction

assessed during the semester through midterm exams, assignments, quizzes, case studies or any other method considered appropriate by the course instructor and the University. A course outline describing the course contents and grading criteria is shared with the students at the start of a course. Normally, semester work will contribute 50% towards the final grade, whereas the final examination will contribute the remaining 50% of the total marks. A letter grade will be awarded to each student based on his/her overall academic performance in a course.

6. Letter Grades and Grade Points Each letter grade has

corresponding numeric points. The points are used for calculating the Grade Point Average (GPA).

Letter grades for BS & BBA programs:Grade Points Grade Points

A+ 4.00 C+ 2.33

A 4.00 C 2.00

A- 3.67 C- 1.67

B+ 3.33 D+ 1.33

B 3.00 D 1.00

B- 2.67 F 0.00 Letter grades for MS & MBA programsGrade Points Grade Points

A+ 4.00 B- 2.67

A 4.00 C+ 2.33

A- 3.67 C 2.00

B+ 3.33 F 1.00

B 3.00 Letter grades for PhD programs

A+ 4.00 B 3.00

A 4.00 B- 2.67

A- 3.67 F 0.00

B+ 3.33

The following letter grades are common to all degree programs:

Points Interpretation 0.00 Fail (attendance

shortage) - Incomplete

Grade FA

I

W - Withdrawn

I and W grades are not used in computing GPA. The I grade is replaced by the earned grade on completion of course requirements. It converts to F grade during the next semester if course requirements are not completed.CN (Continue Research) grade is allowed only once in MS Thesis-II and in each of PhD Thesis I/II/III/IV. S (Satisfactory) or U (Unsatisfactory) is awarded for PhD Thesis work only and is not considered in GPA calculation.

7. Grade Point Average The Grade Point Average (GPA)

provides a continuous scale (0.00 to 4.00) for grades earned. Two types of averages are computed using the grades obtained by the student, the Semester Grade Point Average (SGPA) and the Cumulative Grade Point Average (CGPA).

8. Dean's List of Honours If the SGPA of an undergraduate

student falls between 3.50 and 3.99, his/her name is included in the Dean's List. The student

SGPA is the weighted average of grade points earned in a semester. CGPA is the weighted average of grade points earned in all courses taken so far. For repeat courses, only the most recent grade points are used (even if they are less than the earlier attempts).

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The University acknowledges those students who complete their degree with high honours. The following honours are stated on the degree issued to such high achievers.

CGPA 3.60 to 3.74 Cum Laude

receives a Certificate and his/her name is also placed on the University's website. Only those students are included in this list who have completed the semester with regular course load prescribed in the study plan.

9. Rector's List of Honours The name of an undergraduate

student is placed on the Rector's List, if his/her SGPA is 4.00 in a semester. The student receives a Certificate and his/her name is also placed on the University's website. Only those students are included in this list who have completed the semester with regular course load prescribed in the study plan.

10. Bachelor Degree with Honours

CGPA 3.90 to 4.00 Summa Cum LaudeCGPA 3.75 to 3.89 M agna Cum Laude

BS/BBA programs 2 .00

PhD programs 3.00a) A student on academic

warning needs the approval of the Head of Department to register in desired courses.

MS/MBA programs 2.50

b) If, after a semester, the CGPA of a student is less than the required minimum, the Warning Count increases by one.

At the end of every semester (including summer semester), warning is issued if the CGPA of a student is less than the minimum required for graduation. Minimum CGPA required to avoid academic warning:

11. Academic Warning/Probation

c) If the Warning Count becomes three, admission of the student in the University is closed.

d) If after receiving warning, CGPA improves and equals or exceeds the required minimum, the Warning Count is reset to zero.

b) First semester students should register through the Academic Office. All other students should register online.

f ) Must obtain written approval from their Head of Department for each course that they register, add, drop or withdraw.

Students are required to register in Fall and Spring semesters and to pay the current semester fees. All students are required to register for normal course load, except those on academic warning. The recommended registration procedure is as follows:

d) Students with warning count = 2 MUST not register for a new course.

12. Semester Registration

registration is complete.

13. Registration of Students under Warning

d) Students studying under scholarships (OSP, HEC, FAST or others) must take full load.

c) Should not register for more than five courses.

a) Clear all previous fees and dues before registration.

a) Must register for all courses in which the grade was F or U.

c) Pay current dues in full immediately after

b) Should register for all courses in which the grade was D, D+ or C-.

e) Parents/guardians are called to the campus for a consultative meeting with the HoD.

d) Request for withdrawal must be submitted to the Head of Department (HoD), before the last day of classes.

c) Application for withdrawal from course(s) must be countersigned by the parent or the guardian of the student.

e) Request to withdraw from a course requires approval of the HoD.

16. Withdrawal from a Coursea) Students are not allowed to

withdraw from any course in the first two semesters.

b) Withdrawal is not allowed due to shortage of attendance, unless it is due to reasons beyond one's control, e.g. hospitalization.

14. Registration in Final Year Project (FYP)

The Final Year Project, which is completed in two regular semesters, is divided into FYP-I and FYP-II. To register for FYP-I, a student must have passed all courses for the first six semesters in the study plan of his/her degree program. The Head of Department can allow registration in cases where there is deficiency of one course. The Director of the campus can allow registration in cases where there is deficiency of two courses. Students having deficiency of more than two courses are not allowed registration in FYP-I. Students on academic warning cannot register for FYP-I. Registration in FYP-II is allowed only after successful completion of FYP-I.

The request should be made within the first two weeks of a semester. Approval of the Head of Department is essential. Students are not allowed to drop any course in the first two semesters.

15. Adding or Dropping a Course

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A student must repeat all failed courses. Students under warning should also repeat such passed courses in which their GPA was less than the minimum CGPA required for graduation. A student can also repeat a course if s(he) desires to improve his/her grade. Only the most recent grade is used in calculating the CGPA. A repeat count appears on the transcript for all repeated courses.

f ) For courses having an associated lab, withdrawal is always from both theory and lab portions of the course.

Summer is not a regular semester. Courses may be offered during summer break at the discretion of the campus Director. Following rules apply:

a) Contact hours per week

If retake of final exam is allowed, it shall be held as soon as possible, but not later than one week before the start of next semester. The grade in the course should be finalized before the start of next semester. Retake exam fee is payable before the examination.

A student who misses a quiz or assignment is awarded zero marks in that quiz or assignment. However, for midterms and final examination there is a provision for a retake, in case of student's illness or serious accident or death in the immediate family. A Faculty Committee shall examine the request of the student for a repeat test/exam.

18. Missed Examinations

a) Summer semester will be offered as an optional semester of 8 to 9 weeks' duration.

17. Repeating a Course

g) F ee is not refunded for a withdrawn course.

19. Rules for Summer Semester

d) Students can register in summer semester for courses which they have previously taken, and were awarded a letter grade (including W).

during Summer Semester will be doubled to ensure that the course is completely taught in summer (with half the duration as compared to a regular semester).

c) A student cannot register for a new course. Exception to this rule is granted when an elective course is being offered by a distinguished scholar or professional who is only available during summer.

Request of a student for transfer from one campus of the University to another will be considered only on the following grounds:

h) Financial assistance,

incremented/decremented in summer semester.

20. Transfer of Students between Campuses

b) Posting of a parent to the city where the transfer is desired.

b) Research courses or projects will not be offered.

c) Marriage of a female student.

f ) A student can withdraw from a summer course on or before the last day of classes.

i) Minimum of TEN (10) students should register in a summer course.

j) Warning Count is

a) Death of a parent.

g) Summer courses cannot be dropped, hence, fee is neither refunded nor carried forward to next semester(s).

scholarship or fee concession is not available in summer semester.

e) A student will be allowed to repeat a maximum of 2 courses (with associated labs if any).

Transfer shall not be considered

Concurrent admission in more than one degree program is not allowed.

23. Suspension of Registration

21. Semester Freeze

The closure of admission results in termination of studies at the University. The admission will be closed in any of the following situations:

1) The student is under disciplinary punishment.

2) Disciplinary action is pending against the student.

3) Dues are outstanding against the student.

4) During the course of a semester.

Under exceptional circumstances a student may take a semester off by requesting the Campus Director for a 'Semester Freeze'. A maximum of two semesters may be frozen. A semester freeze fee has to be paid.

22. Double Admission

in the following cases:

Registration of a student is suspended in any of the following situations:· On the recommendation of a

Disciplinary Committee.· Unsettled financial or other

matters with the University.· Not completing registration

formalities in time.24. Restoration of Suspended

Registration A student whose registration is

suspended may request for restoration of registration provided s/he has cleared all the issues that called for suspension and paid all dues.

25. Closure of Admission

a) Failure to restore suspended registration.

b) Failure to re-continue studies after freezing admission for two consecutive semesters.

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c) Admission obtained on false documents.

d) 3rd Academic Warning.e) As a result of Disciplinary

Action.f ) Request to close admission

from a student for personal reasons.

26. Readmission of Former Student

Students must refrain from unfair means in quizzes, assignments and exams. The minimum punishment for using unfair means is award of zero marks in that test, assignment, midterm, or final examination. If the Course Instructor refers the matter to the Disciplinary Committee of the Department, then the maximum punishment can be award of 'F'

d) A former student who had been on disciplinary warning shall not be readmitted.

A former student of the university can seek readmission by taking the relevant admission test. After qualifying for the admission on merit, the student is admitted as a NEW student. Following rules apply:

b) If credit is given for a course, then credit is also given for passed prerequisite course (s).

27. Readmission of Current Student

c) A former student whose admission was closed due to 3rd academic warning will be readmitted only once.

A current student can seek admission in another campus of the University by taking the relevant admission test. After qualifying for admission on merit, the student is admitted as a NEW student.

a) Only credits of relevant courses with at least C grade are transferable, and NOT the CGPA earned in the transferred courses.

28. Academic Dishonesty

grade in that course. If the Head of Department refers the matter to the Disciplinary Committee of the Campus, then 'F' grade may be awarded in all the courses taken in that semester. It may also result in suspension/expulsion from the university.

To maintain an academic and comfortable environment at the campus, students have to abide by the rules and regulations of the University and to follow a code of conduct. Students are expected to observe disciplinary standards of the University in all their dealings. Failure to do so shall require appearance before a disciplinary committee. The committee shall recommend suitable action against the student. The action may amount to imposition of fine, suspension, expulsion, or disqualification of a student from any academic honour such as award of gold medal, scholarship, etc. The following will call for disciplinary action:

d) Use of unfair means or breach of norms

e) Improper behaviour inside or outside the classroom

29. Disciplinary Action

g) Association with actions, which are harmful to good academic environment

h) Failure to meet the code of conduct specified by the University.

c) Involvement in activities that are against the interest and reputation of the University

f) Any act of dishonesty including submission of false documents and deliberate misreporting

b) Wilful defiance of University's authority whether alone or in association with others

a) Disregard or disobedience of rules of the University

The maximum period allowed by Higher Education Commission (HEC) to complete degree requirements is given below:

30. Maximum Time Allowed to Complete Degree Requirements

A subset of the rules and regulations of the University is provided here for ready reference. All activities of the University shall be governed by the rules and regulations of the University. In case of ambiguity or non-existence of rules, the final authority for interpretation and decision shall rest with the University.

MBA programsMS programsPhD programs

BS/BBA programs Seven (7) yearsThree (3) yearsFour (4) yearsEight (8) years

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National University of Computer & Emerging Sciences endeavours to inculcate in its students intellectual diversity, self-motivation, critical thinking and inquiry, research oriented approach, capacity for leadership, and community oriented, ethically guided high sense of professionalism. University aims to equip students to meet the challenges of the 21st century. The University expects its students to strive towards acquisition of attributes that befit the national objectives. These attributes, in turn, should be reflected in their everyday behaviour, attitude and dress.

Code of Conduct

5. It is the responsibility of all to keep the Campus environment clean and tidy. Therefore, no littering or trash should be carelessly thrown or left on the Campus premises. The designated waste boxes should be used for the purpose. Those who litter have to pay a fine.

9. Students are advised to strictly follow the code of conduct on the field and off the field while taking part in sports and other extra-curricular activities. Students are expected to exhibit exemplary behaviour, especially while representing the University in an activity/competition.

6. The students are advised to refrain from any damage to the university fixtures/furniture including Venetian blinds, scribbling/carving on desks, writing on walls, misusing lab equipment, etc.

10. Matters of indiscipline would be referred to the Disciplinary Committee, which is authorized to reprimand or check any indiscipline in any way it deems

7. The entire Campus is a non-smoking area. Anyone found smoking on Campus premises has to pay a fine.

8. Students are advised to switch off mobiles in class rooms, labs and library so as not to disrupt the calm and quiet atmosphere. Mobile phones are not allowed in examination halls.

that gender mixing is permissible only within the accepted social and cultural norms of the society. Faculty tolerance should not be construed as an approval to undue intimacy and unacceptable proximity, openly or in isolated areas.

In order to achieve these goals all students are obliged to strictly follow the Code of Conduct laid down below:

1. Students should refrain from conduct that may lead to the disruption of any academic program of the Campus or might damage the reputation of the University.

2. Students will show tolerance, understanding and respect for the rights of others. In case of any misunderstanding with peers or University management, etc., discussions and exchange of views within the frame work of decency and decorum would be the desirable course to follow. Threatening behaviour to fellow students, faculty, staff or the University as an institution can cause irrevocable dismissal from the University.

3. Students will be respectful to members of the opposite gender and will refrain from any behaviour that can be interpreted by others as 'gender harassment'.

4. Students are strictly reminded

appropriate. Parents of students who disobey authority and violate the code of conduct will be called to the university.

11. Students are required to follow campus IT usage policy, which forbids them from sending and receiving offensive and indecent emails, possession of non-academic materials on their assigned folders, forging or hiding identity, and misuse of IT resources and Internet for any non-academic activity.

12. Students must refrain from cheating, plagiarism, lying, stealing, and gender harassment in any setting of the Campus.

Dress Code (for Students, Faculty and Staff)All are expected to dress keeping in view the local cultural values and norms. The dress should not have any script or image, which appears to be indecent or provocative. Dress should not be see-through. Wearing shorts or sleeveless shirts is not allowed. Females should not wear short length shirts. They should avoid wearing too much makeup and jewellery.

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Lahore campus

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