SCHOOL OF COMPUTER SCIENCE AND ENGINEERING · The Data Management & Analytics group explores fundamental problems in managing and mining massive volumes of data that are of significance

SCHOOL OF COMPUTER SCIENCE AND ENGINEERING

RESEARCH REPORT 2017/18

CONTENTS01 MESSAGE FROM CHAIR

02 MESSAGE FROM ASSOCIATE CHAIR (RESEARCH)

03 SCSE AT A GLANCE

04 RESEARCH AREAS • CYBER SECURITY & FORENSICS • COMPUTER NETWORKS & COMMUNICATIONS • DATA MANAGEMENT & ANALYTICS • COMPUTATIONAL INTELLIGENCE • COMPUTER VISION & LANGUAGE • GRAPHICS & INTERACTIVE COMPUTING • HARDWARE & EMBEDDED SYSTEMS • PARALLEL & DISTRIBUTED COMPUTING • BIOMEDICAL INFORMATICS

12 DATA SCIENCE & ARTIFICIAL INTELLIGENCE RESEARCH CENTRE@NTU (DSAIR) • BUILDING A SMARTER WORLD

14 CYBER SECURITY RESEARCH CENTRE @ NTU (CYSREN) • MAKING CYBERSPACE A SAFER PLACE

16 SCSE INNOVATION LAB • TURNING IDEAS INTO IMPACT

18 CENTRE FOR SMART PLATFORM INFRASTRUCTURE RESEARCH ON INTEGRATIVE TECHNOLOGY (SPIRIT)

• UNLEASHING THE POWER OF CONVERGENCE

19 RESEARCH FUNDING


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In today’s advancing economy driven by knowledge and technology, the role of academia includes generating of new ideas, intellectual property and opportunities for growth together with producing quality graduates. Beyond basic problem-solving, academic research at SCSE focuses on practical applications through strategic industry collaborations. This has led to an emphasis on research with theoretical and experimental results that can be evaluated; and creative solutions that benefit practitioners and the society. Thus as a researcher and supporter of entrepreneurship, I strongly believe that cutting-edge research leading to innovative technologies will continue to challenge fellow scientists and also reinforce SCSE, NTU’s international standing for research quality. More importantly, these new technologies will benefit society as a whole and support Singapore’s R&D efforts.

In recent years, the school has prominently established itself in a few key areas of research, including Artificial Intelligence, Big Data Analytics, Cyber Security, Cloud Computing, Game Innovation, User Experience, Urban and Sustainability Informatics and Internet-of-Things. This is done with the goal of harnessing the blooming technologies to improve quality of life and strengthening our communities. I am proud that SCSE has gained international recognition as one of the top Computer Science and Computer Engineering departments globally. In 2017, SCSE has been ranked 1st in Asia for Computer Science and Engineering by the Academic Ranking of World Universities and 3rd by US News Global University Ranking, just to name a few. At present, we have about $110m active research grants (an average of $1.4m per faculty) and 740 journal and conference papers to our credit, all thanks to our 75 distinguished faculty members (including 12 Full Professors, five Institute of Electrical and Electronics Engineers Fellows Fellows and one National Research Foundation Fellow) and 201 research staff. It is my pleasure to invite you to peruse the following pages of research report that offers a peek at the research activities and achievements of our SCSE colleagues.

MESSAGE FROM CHAIR, SCSE


02 MESSAGE FROM ASSOCIATE CHAIR (RESEARCH)

Research is a core pillar of excellence at SCSE. Our vibrant research and innovation ecosystem is powered by a 75-strong faculty, more than 200 research scientists and engineers, over 240 graduate students supported by the School’s Research and Graduate Office.

The broad-ranging research competencies of our faculty members span across nine core areas in the fields of computer science and computer engineering. I am proud that in many of these areas, NTU/SCSE has been ranked among the top worldwide according to recent international ranking surveys.

Supported by the National Research Foundation, SCSE hosts two research centres of excellence, namely LILY for Artificial Intelligence (AI) technologies that support active living of the elderly and MAGIC for gaming and interactive technologies. We also play a major role in the Rapid-Rich Object Search (ROSE) lab, a research centre of excellence for video analytics, rich object search and image processing. In collaboration with School of Physical and Mathematical Sciences, SCSE co-hosts the newly-established university’s Centre for Data Science and Artificial Intelligence Research (DSAIR). The latest corporate lab to be added to SCSE would be the Singtel Cognitive and Artificial Intelligence Lab for Enterprises (SCALE@NTU), which focuses on developing applications in the areas of public safety, smart urban solutions, transportation, healthcare and manufacturing. Our faculty also plays a leadership role in NTU’s Cyber Security Research Centre.

With our strong focus on linking research to applications, SCSE has also built a deep and impressive collaborative network with the industry, through large-scale joint laboratories, most notably the Rolls-Royce@NTU Corp Lab, BMW-NTU Future Mobility Research Lab, and ST Engineering-NTU Corporate Lab. In the space of translational R&D, we also have a new centre named Smart Platform Infrastructure Research on Integrative Technology (SPIRIT), which serves as a platform for translational R&D of technologies relevant to Smart Nation applications.

Through this research report, I hope you will appreciate the wide spectrum of research activities and achievements of our SCSE colleagues ranging from scientific research to industrial collaborations and innovative application development. We warmly welcome you to connect with and join our collaborative network of research and innovation.


03SCSE AT A GLANCE

Research Grants(S$M)

Top Tier Publications

Research Strength

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2015 2016 2017 20160

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Journals Conferences

75Academic staff

201Research staff

242Research students


04 RESEARCH AREASEXPLORING NEW FRONTIERS

Cyber Security & Forensics

• Malware Modelling, Detection, and Classification• Security Formal Verification on Hardware, Micro-kernel,

Security Protocol • Source Code and Binary Vulnerability Modelling,

Detection and Analysis

• Mobile Security• Biometrics and Forensics• Pattern Recognition• Image Processing

Research Areas

Researchers in the group study computational methods for digital crimes and forensics, and the development and application of techniques to enhance high-assurance systems’ security. The Digital Crimes & Forensics group is developing new biometric traits, such as skin marks, androgenic hair and blood vessels hidden in colour images, and algorithms to identify criminals and victims in evidence images, where their faces are not observable. The target evidence images can be taken from child-related sexual offences such as child pornographic images, other sexual offences, terrorist activities and riots. The Cyber Security group’s research focuses on the development and application of techniques to enhance high-assurance systems’ security and performs attack detections on Internet of Things (IoT), mobile, autonomous vehicles and general IT platforms, with emphasis on the use of formal methods, programme analysis, machine learning and Artificial Intelligence (AI) to provide system foundations correctness. The group has active projects in collaboration with Singapore government agencies and companies to provide effective solutions to create a secure cyber space.


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Computer Networks & Communications

• Sensor Networks• IoT• Data Centre Networking• Software-Defined Networks• 5G Networks• Visible Light Communication

• Ambient Backscatter Communications• Mobile Cloud Computing, Edge Computing, Fog Networks• Wireless Powered Communications Networks• Mobile Blockchain• Cloud Radio Access Networks• Wireless Caching

Research Areas

The Computer Networks & Communications group has research focuses in the areas of sensor networks, IoT, data centre networking, blockchain, and 5G networks. The group aims to address system design and resource optimisation issues to achieve certain objectives under different constraints. In sensor networks and IoT, the energy and communications resources are scarce and their usage has to be jointly optimised. In data centre networking and software-defined networks, new network optimisation schemes such as bandwidth allocations to support various applications, such as multimedia streaming, have to be devised. In 5G networks, new system design to support advance transmission technologies, such as massive MIMO, has to be developed to meet the expectation of the new mobile applications. For blockchain, mining strategies are developed to meet the requirements of IoT applications such as in energy-usage monitoring.



Data Management & Analytics

• Data Analytics• Data Management• Information Retrieval

• Information Security and Privacy• Data Center Management

Research Areas

The Data Management & Analytics group explores fundamental problems in managing and mining massive volumes of data that are of significance in the 21st century. Members of the group have consistently published their novel research in top-tier data management and analytics venues and have attained excellent international visibility in these areas. They also contribute significantly to the international research community by serving as chairs, keynote speakers, and PC members/reviewers in leading international conferences and journals.


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Computational Intelligence

• Cognitive and Neuro Systems• Decision Support Systems• Evolutionary, Memetic and Statistical Learning• Fuzzy Systems• Intelligent Multi-Agents

• Intelligent Systems and Devices• Machine Learning• Nature-Inspired Systems• Natural Language Processing• Sentic Computing

Research Areas

Researchers in the Computational Intelligence group investigate natural and artificial systems to comprehend principles that make intelligent behaviour possible in complex changing environments. The group is focused on devising intelligent machines capable of learning, understanding and reasoning about past actions, so as to provide creative solutions to complex, real-world problems.



Computer Vision & Language

• Object and Scene Recognition• Shape Reconstruction• Tracking and Activity Recognition• Segmentation and Matting• Saliency and Attention

• Perceptual Modelling• Robust Speech Recognition• Natural Language Analysis and Synthesis• Multi-lingual Language Processing

Research Areas

The Computer Vision & Language group is dedicated to discovering breakthroughs in automatic processing and analysis of images, video, audio and natural language text using intelligent computational systems. The group focuses on innovating new techniques in computer vision, speech, natural language processing and machine learning that will enable both the distillation of high-level semantic information from raw media, as well as advanced automated refinement and synthesis of new media.


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Graphics & Interactive Computing

• Computer Graphics• Visualisation• Animation• Human-Computer Interaction

• Games• Augmented and Virtual Reality• Haptics

Research Areas

The Graphics & Interactive Computing group focuses on research and education in visual computing that addresses the interactions between humans, computers, and real and virtual worlds. Researchers in this group investigate, invent and integrate computational capabilities and their interactions with visual data from fundamental theory to practical applications and from physical systems to software development.



Hardware & Embedded Systems

• Secure and Reliable Embedded Systems• Heterogeneous Architectures and Compilation Tools• Resource, Power and Thermal Management• Cyber-Physical Systems• Embedded Vision and Autonomous Systems

• Overlay Architectures for FPGA-based Computing Computing

• System Architecture and Synthesis of Emerging Technologies

• Brain-Computer Interface

Research Areas

The Hardware & Embedded Systems group undertakes research to overcome emerging challenges in embedded and high-performance computing systems. The major goals of this group are system-level design and optimisation, custom computing, reconfigurable computing, heterogeneous architectures, and system architecture enabled by emerging technologies.

• Bioinformatics• Quantitative Methods in Medicine• Diagnostic Instrumentation• Medical Imaging and Visualisation• Healthcare Information Systems• Telemedicine• Clinical Data Mining• Physiological Models and Computer Simulation

Research Areas

Parallel & Distributed Computing

• Modelling and Simulation• Collaborative Technologies and Applications• Cloud Computing and High-Performance Computing

Research Areas

The mission of the Parallel & Distributed Computing group is to form a group of excellence in the areas of parallel and distributed computing. The group investigates the fundamental problems and challenges in parallel and distributed computing, and emerging applications such as big data. The group has organised several leading international conferences in these areas. Particularly, it has gained an international reputation for its research on distributed simulation and collaborative technology. The group also strives to seek new industrial projects where parallel and distributed processing can provide a solutions to real-world problems and foster research collaborations both nationally and internationally. Faculty members in the group are internationally recognised and the group has also attained international brand recognition for its research in the areas of large-scale simulation, collaborative computing, and high-performance computing.


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Biomedical Informatics

The mission of the Biomedical Informatics group is to develop the capabilities of information technology to transform many aspects of medicine and healthcare. The group also aims to discover, encourage, train, and support the new generation of medical scientists via graduate programmes to support biomedical engineering and related fields.


12 DATA SCIENCE & ARTIFICIAL INTELLIGENCE RESEARCH CENTRE@NTU (DSAIR)

BUILDING A SMARTER WORLD

About DSAIRThe Data Science & Artificial Intelligence Research (DSAIR) Centre at NTU was jointly established by theSchool of Computer Science and Engineering (SCSE) and the School of Physical and Mathematical Sciences(SPMS). The Centre will receive about S$8 million in funding from NTU and the industry over the nextthree years. DSAIR will have 60 scientists and researchers at steady state and is codirectedby Professor Ong Yew Soon, Chair of SCSE and Professor Chee Yeow Meng, Chair of SPMS.

DSAIR combines NTU’s deep expertise in Artificial Intelligence (AI) and machine learning with big data analytics to pioneer new technologies for key sectors of the Singapore economy. It has attracted the attention of top international firms including PayPal, a global leader in digital payments and NVIDIA, the AI computing company who redefined modern computer graphics and revolutionised parallel computing. In addition, the recent establishment of the Singtel Cognitive and Artificial Intelligence Lab for Enterprises (SCALE@NTU) is the result of DSAIR’s strong collaboration with industry partners.

Research FocusDSAIR is currently working on several innovative projects. In particular, a research team led by Professor Ong Yew Soon has developed a prototype software that enables creative individuals to develop sophisticated and visually appealing games in a short time frame. Users can give input on their ideas using a simple drag-and-drop graphical interface, after which an automatic coding module will work in the background to create AI features. Such a software would allow lay users to develop advanced games, including those with characters or avatars that have their own sets of behaviours, without doing any complex coding. The prototype software, IntelliK, can significantly reduce both the cost and time needed for game development.

Another project involves new crowd-sensing technologies using LEDs (Light Emitting Devices). The project shows that LED, the top choice for energy-saving lighting, can also be used to detect the numberof occupants in a room or the number of cars on roads.

Speakers of the DSAIR Workshop 2017


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These technologies can be applied in smart control systems to adjust the lights and air-conditioning of a room based on its current usage, or to adjust traffic lights to the traffic density.

In the emerging area of Financial Technology or Fintech, Masters and PhD students from NTU are working closely with PayPal on FinTech research topics that will not only strengthen the existing tools in the financial industry, but also create and enable new and next generation of payment systems.

These research areas include applying new data science and AI techniques to improve customer service experience; mine network effects; perform implicit authentication; assess credit risk; as well as improve prediction of fraudulent behaviour.

In line with PayPal’s aim to nurture Singapore’s next generation of FinTech talent, NTU students are able to gain access to some of PayPal’s best talent, resources and experience.

Advanced Research FacilitiesDSAIR has acquired two state-of-the-art DGX-1 systems from NVIDIA, which is the company’s most advanced computing system for deep learning.

The DGX-1 extreme computation capacities can significantly improve the speed and scalability of deep learning algorithms, which can enable NTU scientists to develop large-scale and complex solutions for problems not efficiently solved by conventional computing systems.

DSAIR will also have a KunLun server, unveiled last year by Huawei as the world’s first 32-socket x86 mission critical server, an ultrafast and reliable computer system that can house up to 32 CPUs (Central Processing Units).

In addition to industry-focused research, the Centre will also develop edutainment technologies like IntelliK, which can interest and educate more young people in the fields of data science and AI, to help build up a local talent pool for Singapore’s push towards Smart Nation status.

KEY CONTACT PERSON:

Professor Ong Yew SoonCo-Director, DSAIREmail : [email protected]

“With the new NTU research centre, we aim to push the field even further by developing innovations in the way we collect, analyse and utilise the massive amounts of information available today, as big data will form a crucial part of Singapore’s Smart Nation infrastructure.”- Professor Bertil Andersson, 3rd President of NTU Singapore


14 CYBER SECURITY RESEARCH CENTRE @ NTU (CYSREN)

MAKING CYBERSPACE A SAFER PLACE

Motivation and BackgroundThe pervasive adoption of the Internet has led to its evolution from a working technology into a universal Cyberspace where individuals and organisations conduct an ever-increasing range of activities on a daily basis. The growing demand for improved productivity and business agility has been powered by the Internet’s adoption across sectors – notable in government, defence, telecommunications, energy, banking and finance. Furthermore, within each sector, the underlying information systems and industrial control systems are becoming increasingly interconnected and ubiquitous in Cyberspace.

Security protection in this Cyberspace, known as Cyber Security, has simultaneously evolved – from a primarily technical network and systems issue, to a complex multi-disciplinary ecosystem that is of immense significance to national security and the global economy. Cyber Security is a concern for all as even a single incident can cause massive disruption of daily activities and critical infrastructures. Cyber Security is an area of phenomenal growth globally, and has rightfully gained considerable importance in our country’s agenda.

NTU & Ben-Gurion University, Israel (BGU) inked partnership to combat advanced cyber threat

There are few parallels to the speed at which Singapore has transformed itself into a modern, urbanised society. We now charge ahead towards transforming ourselves yet again – this time into a ‘Smart Nation’. Ours is already a digitally hyper-connected society that is built on a core infrastructure comprising of numerous cyber-systems. The current era of automation and big data is expected to further increase our society’s dependence on the cyber-world and the issue of cyber threats to such a society is an open secret.

About CYSRENNTU has been an active player in various aspects of Cyber Security R&D, leveraging NTU’s core competencies and capabilities in Engineering, Exact Sciences, International Studies and Business. The Cyber Security Research Centre @ NTU (CYSREN) spearheads the University’s multi-disciplinary research efforts in Cyber Security and serves as a point of contact for NTU’s Cyber Security community.

The Cyber Security research community in NTU has been engaging with local and global agencies as well as industry partners to develop capabilities for multiple areas of strategic importance. These include cyber worthiness of autonomous vehicles, cyber risk management, advanced threat intelligence, secure-by-design for IoT and policy and governance. As a result, CYSREN is well placed to play the leadership role in the development of Cyber Security in Singapore and beyond.CYSREN has a dedicated core team that utilises its domain expertise and global experience while leveraging NTU’s vibrant research culture and comprehensive R&D infrastructure to deliver state-

of-the-art R&D projects. This is exemplified through the success CYSREN has had in establishing multiple collaborations with renowned international industry partners and academic institutions, all within a short time of its inception.

Research FocusTaking a holistic approach to Cyber Security, CYSREN’s current areas of focus include security and trustworthiness of embedded system, cyber-threat detection and attack attribution, cyber and cyber-enabled crime as well as forensics.

As these areas evolve, CYSREN will expand its operations in response to fast-emerging, industry-led priorities.

CollaborationCYSREN actively seeks opportunities to collaborate with local and government agencies as well as eminent industry and academic partners. It welcomes new partnerships to further strengthen its commitment towards use-led R&D outcomes.

CYSREN’s current collaborators include:• BAE Systems, Inc• Ben-Gurion University of the Negev, Israel• AIA Singapore• Checkpoint Software Technologies Ltd• RAFAEL Advanced Defence System Ltd• Technion - Israel Institute of Technology, Israel• Tel Aviv University, Israel• University of Southampton, UK

KEY CONTACT PERSON:

Professor Thambipillai SrikanthanExecutive Director, CYSRENEmail : [email protected]


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TURNING IDEAS INTO IMPACT

Motivation and BackgroundInnovation, entrepreneurship and leadership are the three critical forces for change in the new age of technology innovation. As the driver of innovation and development, the university is taking on more responsibilities and playing multiple roles. Beyond just generating new ideas from the research lab and classroom, it is also implementing ideas in the market, ultimately triggering economic growth. Harnessing the best of institutional, intellectual and external and internal resources, robust academic entrepreneurship can become an engine of economic development.

About SCSE Innovation LabThe SCSE Innovation Lab aims to become an open innovation platform with a glowing global reputation for SCSE students, faculty and alumni. It draws upon its strengths in technology research, development, and talent training.

The SCSE Innovation Lab is designed: • to nurture SCSE students and graduates with the

entrepreneurship skills and spirit to be a competitive start-up ecosystem globally;

• to empower SCSE faculty and researchers to translate their research into commercial solutions for national challenges;

• to engage SCSE alumni and members at large for an open and collaborative innovation community; and

• to brand our innovation achievements to promote SCSE’s visibility in institutional, national, regional and global scopes.

Research Focus Three complementary pillar programmes are created to foster a healthy and vibrant innovation and entrepreneurship ecosystem at SCSE and across NTU. The Student Entrepreneurship Program (SEP) is a 360°developing platform with exclusive resources, training, and practices to groom the technology leaders and entrepreneurs of the future. The Technology Adoption Program (TAP) provides support for SCSE faculty and researchers to pilot their research projects in hopes of accelerating the diffusion of research into practice. The Industry Innovation Consortium (IIC) is established to enhance connections and collaborations between university and industry in terms of curriculum, talents, and projects.

SCSE Innovation Lab’s inaugural meeting with industry partners.

SCSE INNOVATION LAB


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KEY CONTACT PERSON:

Associate Professor Wen YonggangAssistant Chair (Innovation), SCSEEmail : [email protected]

Collaboration and CommercialisationThe SCSE Innovation Lab has already made considerable achievements since its establishment. Four student teams have won a total of six awards to date: Gold Award in the 5th ASEAN ICT 2016, Grand Prize in the Westly Prize Competition 2016, top prize in the Social Venture Challenge, CGI 2016, 1st Prize in the Social Entrepreneurship Challenge 2016, 1st runner up in the NUS-MIT Healthcare Analytics Datathon 2017, and 2nd runner up in the Imagine Cup Singapore 2017.

Start-up Red Dot Analytics successfully commercialised its award-winning product Cloud3DView and became a spin-off company.

For TAP, the launch of “HEY!Shake”, a prototype of the multiscreen cloud social TV developed by Assoc/Prof Wen Yonggang, proved to be a great success in the NTU Freshmen Ceremony 2017 on 8 August. In one day, the app acquired more than 3,200 users for iOS and Android, and in total 4,166 likes for #NTU Facebook and Instagram. It was No. 1 in Google Play Store and ranked No. 13 in Apple Store after the event, indicating the popularity of the new technology among university students.

For the IIC, the SCSE Innovation Lab has attracted partners from industry and institutions. Huawei, NEC, Sea (previous Garena), Worksapp and other three companies will closely work with SCSE Innovation Lab to provide mentorship and internship opportunities to students. The Innovation Lab will continue to explore more collaborations with NTUitive, SGInnovate, and Singapore Economic Development Board (EDB), as well as international labs such as Venture Lab at National Chiao Tong University.

Team Critical NUS-MIT Datathon 1st Runner Up

Gold Award in the 5th ASEAN ICT 2016


18 CENTRE FOR SMART PLATFORM INFRASTRUCTURE RESEARCH ON INTEGRATIVE TECHNOLOGY (SPIRIT)

KEY CONTACT PERSON:

Professor Lam Kwok YanDirector, SPIRITEmail : [email protected]

UNLEASHING THE POWER OF CONVERGENCE

Motivation and BackgroundCentre for Smart Platform Infrastructure Research on Integrative Technology (SPIRIT) of Nanyang Technological University, known as SPIRIT Centre. It is established as a translational R&D institute to design future-proof platform and infrastructure for enabling Smart Nation applications.

The SPIRIT Centre applies cutting-edge systems research, to design and build Smart Systems Platform with visual analytics capabilities and sensor networks. The platform will be able to handle massive amount of data from diversified sensing sources via heterogeneous network interfaces, and enable smart nation applications to meet stringent demand performance and security.

About SPIRITThe SPIRIT Centre is funded by National Research Foundation, and supported by Smart Nation and Digital Government Group and many user agencies. The SPIRIT Centre serves as a platform to connect ecosystem of government, academic and industry experts, to assist public sector agencies to convert new ideas into innovative Proof-of-Concept solutions leveraging on existing R&D capabilities and technical competencies of NTU researchers, validate and enhance such solutions, and then enable full-scale development and deployment by working with industry partners, hence to accelerate commercialisation of Smart Nation solutions.

Research FocusOne of our major projects is collaboration with Singapore Judiciary in developing an Intelligent Case Retrieval System (ICRS), the ICRS is an Artificial Intelligence (AI) tool which aims to assist the judiciary to improve its operational and decision-making capabilities. The joint research partnership aims to develop frontier technologies to improve courtroom procedures and increase productivity using advanced document analytics and machine learning technologies. ICRS will significantly reduce the amount of time needed for judges and lawyers to determine which documents are relevant to a case. Judges and legal professionals can use ICRS as a decision support tool during pre-trial evaluation and mediation to improve decision-making and judgment writing, as well as perform case summarisation.

ICRS is a continuous innovation that reinforces the Singapore Judiciary’s commitment to adopt advanced technology for improved case management. Its development supports an effective and accessible justice system aligned with Singapore’s vision to become a Smart Nation. In future, ICRS may even transform the legal industry by making legal advisory accessible to the public through the deployment of Legal Chatbot.

Collaboration and CommercialisationThe commercialisation aspect will be led by NTUitive following the successful completion of the prototype. Other opportunities include implementation for other government agencies.


19RESEARCH FUNDING

Major Externally Funded Research ProjectsPROJECT DESCRIPTION AGENCY PRINCIPAL INVESTIGATOR(S)

A Geo-Distributed Multi-task Learning Platform Ministry of Education Sinno Jialin Panfor Big Data Analytics

A Secure, Privacy-Preserving Data Exchange/Computation National Research Foundation Ng Wee KeongPlatform for the Smart Nation

ACUMON DSTA (FSTD-TL@NTU) Chng Eng Siong

ADL+:A Digital Toolkit for Cognitive Assessment Ministry of Health Miao Chun Yanand Intervention

Area-Interlinking Design Analysis (AIDA) TUM CREATE Cai Wentong

Attack Detection, Adaptation and Verification MINDEF-NTU Joint R&D Liu YangFor AV (Acronis)

BINSEC: Binary Analysis for Security DSO National Laboratories Liu Yang

Bio-inspired Agile Cyber-Security Assurance National Research Foundation Srikanthan ThambipillaiFramework (BICSAF)

Boosting Learning And Memory For Cognitive Agility DSO National Laboratories Tan Ah Hwee

Creative Modelling for Design and Realisation Ministry of Education Zheng Jianminof Architectural Woodcarvings

Cybersecurity Protocol and Mechanism for e-Logistics of National Research Foundation Lam Kwok YanDangerous Goods Tracking Using Block Chain

Data-Driven Sensing and Analysis for Smart Transportation Ministry of Education Li Mo

Decoding of Imagined Hand Movement Kinematics Ministry of Education Vinod Achutavarrier Prasadusing Brain-Computer Interface

Demand Forecast and Optimisation National Research Foundation Suresh Sundaram

Differential saliency algorithms for facial skin A*STAR-P&G Deepu Rajanvisual appearance assessment

Energy Harvesting Sensors and User Behaviour National Research Foundation Bo AnUse Cases for Smart Living Solutions

Forensics Based on Skin in Evidence Images Ministry of Education Kong Wai Kin Adams

Future Security Operation Centre BAE Systems Applied Intelligence Srikanthan Thambipillai (Asia Pacific) Pte Ltd

Joint Situation Awareness and Cooperation ST Dynamics Pte Ltd Tan Ah HweeReinforcement Learning

Lidar, Geometry and Machine for Virtualization and National Research Foundation Zheng JianminSemantics Enrichment of 3D City Models

Model-in-the-loop Framework for CPS National Research Foundation Arvind Easwaran


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Major Externally Funded Research ProjectsPROJECT DESCRIPTION AGENCY PRINCIPAL INVESTIGATOR(S)

New Local Illumination Model, Fine-grained Ministry of Education Cai JianfeiShape Recovery and Beyond

Next Generation Container Terminals, PART I: Singapore Maritime Institute Hsu WenjingA Two-Tiered Storage Area for Enhancing Certain Berths, PART II: Container Automated Storage and Retrieval System in a High-Rise Building

Predicting Missing and Spurious Links and Labels Ministry of Education Jagath C Rajapakseof Protein Interaction Networks

Robust Control of Large-Scale Concurrent Systems Ministry of Education Liu Yangwith Unreliable Resources

Sensors and Control Systems for Demand Management National Research Foundation Luo Jun

Sensor Fusion and Fault Detection and Diagnosis (FDD) National Research Foundation Dusit Niyato Sensing and Management for Agile Transportation (SMAT) TUM CREATE Srikanthan Thambipillai

Sensing and Management for Agile Transportation TUM CREATE Anupam Chattopadhyay (SMAT)-Sub Project C

Significance-based Large-Scale 3D Point Cloud Ministry of Education Lin WeisiCompression and Management

Smart Binary-level Vulnerability Assessment National Research Foundation Liu Yangfor Cyber-attack Prevention

Smart Platform Infrastructure Research on Integrative National Research Foundation Lam Kwok Yan (SCSE), Technology (SPIRIT): A Platform for Translational R&D Yoon Soon Fatt (EEE)for a Smart Nation

Singapore Autonomous Bus Initiative Land Transport Authority Arvind Easwaran

Singtel-NTU Artificial Intelliegence Joint Lab Agency for Science, Technology Cong Gao and Research

Toward Joint IT-Thermal Optimisation to Improve Energy Infocomm Development Authority Wen YonggangEfficiency for High-Ambient Temperature Data Centre in the of SingaporeTropics via Learning-based Algorithms Toward Learning-based Thermal Comfort Models to Instil Building Construction Authority Wen YonggangBehavioural Changes for Greener, Smarter and Healthier Buildings in the Tropics Via Pervasive Sensing

Unifying Spectral Networks and Sparse National Research Foundation Xavier BressonRepresentations for Big Data Science Fellowship

To Research & Develop Assessment Tool and System National Research Foundation Lam Kwok Yan– OpsTrace VIBSens: Visible Light Building Sentience for Ministry of Education Luo JunLightweight & Efficient Smartness

Virtual Factory 4.0 Process Monitor Platform National Research Foundation Alexei Sourin

RESEARCH FUNDING

www.scse.ntu.edu.sg

SCHOOL OF COMPUTER SCIENCE AND ENGINEERING

A SCHOOL OF THE COLLEGE OF ENGINEERING

Nanyang Technological UniversityN4 Nanyang Avenue SIngapore 639798Tel: (65) 6790 5786 Fax: (65) 6792 6559

SCHOOL OF COMPUTER SCIENCE AND ENGINEERING · The Data Management & Analytics group explores fundamental problems in managing and mining massive volumes of data that are of significance

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