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Jun 21, 2018
Portfolio of Professor Subhas Mukhopadhyay
Portfolio of Prof. Subhas Mukhopadhyay
1. Personal Data
Surname Mukhopadhyay
First names Subhas Chandra
Date and Place of Birth 12 October 1965, Fului, India
Academic title Professor in Sensing Technology, Massey University, Palmerston North
Citizenship New Zealand
2. Address
Street 12 Woodgate Court
City Palmerston North
Country New Zealand
Phone Number Off:+64-6-3505799 ext. 84168, Home: 64 6 3550871
E-Mail [email protected]
Fax +64-6-350 2259
3. Educational background
Period (from to)
University or institution Qualification awarded (academic title)
Study / Field
1983-1987 Jadavpur University, Kolkata, India
Bachelor of Electrical Engineering Gold Medal
Electrical Engeneering; Control System
1987-1989 Indian Institute of Science, Bangalore, India
Master of Electrical Engineering
Electrical Engineering; Power Electronics and Motor Drives
...- December 1994 Jadavpur University, Kolkata, India
Ph.D. in Engineering
Electrical Engineering; Power Electronics and Motor Drives
... March 2000 Kanazawa University, Japan Doctor in Engineering
Electrical Engineering; Electromagnetics
4. Employment details
Period University/Company/Institution Position and type of activity
2012 till date School of Engineering and Advanced Technology, Massey University, Palmerston North, New Zealand
Professor of Sensing Technology Teaching and research
2006 2011 School of Engineering and Advanced Technology, Massey University, Palmerston North, New Zealand
Associate Professor Teaching and research
2000 2005 Institute of Information Sciences and Technology, Massey University, Palmerston North, New Zealand
Senior lecturer Teaching and research
1995 2000 Faculty of Engineering, Kanazawa University, Japan
Asst. Prof./Research Associate/Fellow Teaching and research
1990 1995 Department of Electrical Lecturer/Senior Lecturer
Portfolio of Professor Subhas Mukhopadhyay
Engineering, Jadavpur University, Kolkata, India
Teaching and Research
1989 1990 Crompton Greaves Limited, Mumbai, India
Research Officer Research and Development
5. Publications
Journals (reviewed) 113
Books (as Author) 4
Books (as Editor) 25
Full articles in books and proceedings (no abstracts) 32+206 = 238
Edited Conference Proceedings 14
Edited journal Special Issues 13
Digests 39
Total items of publications 446
The details of publications are provided later.
6. Number of presentations
Special course 3
Keynote 21
Tutorial 12
Invited 24
Special Talks (special talks mainy delivered as invited) 210
Total number of presentations 270
The details of presentations are provided later
7. Teaching activities
Period (from to)
University or comparable institution
Subjects taught
2012 till date School of Engineering and Advanced Technology, Massey University, Palmerston North, New Zealand
Teaching the following papers:
i) 281.353 Control Engineering
ii) 228.271 Engineering Mathematics
iii) 281.385 Advanced Electronics Circuits
iv) 281.465 Management of Information
Systems and Reliability
2006 2011 School of Engineering and Advanced Technology, Massey University, Palmerston North, New Zealand
Taught the following papers:
i) 281.339 Design for Computer and
Communication Systems
ii) 281.335 Instrumentation Electronics and
Control Engineering
iii) 281.481 Robotics and Automation
iv) 281.222 Technological Mathematics A
2000 2005 Institute of Information Sciences and Technology,
Taught the following papers:
Portfolio of Professor Subhas Mukhopadhyay
Massey University, Palmerston North, New Zealand
i) 143.339 Design for Computer and
Communication Systems
ii) 143.335 Instrumentation Electronics and
Control Engineering
iii) 143.481 Robotics and Automation
iv) 143.222 Technological Mathematics A
v) 142.223 Technological Mathematics B
1995 2000 Faculty of Engineering, Kanazawa University, Japan
Magnetic Sensors; Magnetic Bearing; Magnetic Current Limiter; Electrical Machines.
1990 1995 Department of Electrical Engineering, Jadavpur University, Kolkata, India
Circuit Theory; Electrical Machines; Microcontroller; Motor Drives; Instrumentation and Measurements.
8. Current research activities
I provide a short description of a few research projects currently undergoing: 1. Smart Home based on Wireless Sensors Network for Elder Care Research on wireless sensors and sensor networks, especially for in-home monitoring of elderly people, are under consideration. The requirements of the sensor for making a smart sensor network are investigated. The aim of this research is to develop a smart home for elderly people who need to be constantly monitored for health and safety reasons. Many elderly people dread the idea of being forced to live with their adult children, or in a rest home or in other sheltered living arrangement. They want to live independently and keep control of their own lives. Yet at the same time they know there is a high risk of injury or even death because of a fall or stroke. With the population aging in most developing countries, there will be more and more elderly people living alone in future. Such people need to be monitored continuously and provided with immediate medical help and attention when required. The cost of hospitalization is ever increasing, so is the cost of rehabilitation after a major illness or surgery. Hospitals are looking at sending people back as soon as possible to recoup at home. During this recovery period several physiological parameters need to be continuously measured. Hence telemedicine and remote monitoring of patients at home are gaining added importance and urgency. There are some design issues involved which are currently under investigation. 2. Zigbee Based Wireless Physiological Monitoring System As a part of the smart home a wearable device has been developed to monitor physiological parameters (such as temperature, heart rate, fall) of a human subject. The system consists of an electronic device which is worn on the wrist and finger, by an elderly or at-risk person. The system can be used by normal person as well for the monitoring of physiological parameters. Using several sensors to measure different vital signs, the person is wirelessly monitored within his own home in a smart home. An accelerometer has been used to detect falls. The device can monitor the stressed condition of the person and sends an alarm to a receiver unit that is connected to a computer. This sets off an alarm, allowing help to be provided to the person. Since no vision sensors (camera or infra-red) are used, the system is non-invasive, respects privacy and will find wide acceptance. The system can be used in combination of the bed sensor (part of the home monitoring system) to monitor the person during the night. 3.Towards the Smart Sensors Based Human Emotion Recognition A smart sensing system, which would help in detecting human emotions based on information from physiological parameters obtained from sensors, has been designed and developed. Sensors continuously monitor the heart rate, skin conductance and skin temperature. The amplified and filtered signals from the sensors are then processed by a microcontroller and transmitted wirelessly using ZigBee wireless technology. The received signals from the system are displayed and stored on the computer where they are analysed visually for obvious patterns. An algorithm is being developed for
Portfolio of Professor Subhas Mukhopadhyay
automatic recognition of emotions using various clustering techniques. The partial developed system has shown good results in monitoring the physiological parameters. 4. Sensing System for Detection of Dangerous Marine Biotoxins in Seafood A novel planar interdigital sensor based sensing system has been developed for detection of dangerous marine biotoxins in seafood. Our main objective is to sense the presence of dangerous contaminated acid in mussels and other seafoods. Initial studies were conducted with three peptide derivatives namely Sarcosin, Proline and Hydroxylproline. These three chemicals are structurally closely related to our target molecule. The proline molecule is arguably the most important amino acid in peptide conformation, contains the basic structural similarity to the domoic acid. Three novel interdigital sensors have been designed and fabricated. The initial results show that sensors respond very well to the chemicals and it is possible to discriminate the different chemicals from the output of the sensor. The outcomes from the experiments provide chances of opportunity for further research in developing a low cost miniature type of sensors for reliable sensing system for commercial use. 5. Sensing System based Pathogen detection in meat Sensing system is planned to be developed to detect different dangerous pathogens in meat. The system will provide first-hand information report of the existence of pathogen so that rigorous testing can be carried out in laboratory. 6.Rapid and Molecular Selective Electrochemical Sensing of Phthalates in Aqueous Solution A real time non-invasive detection of phthalates in spiked aqueous samples by employing electrochemical impedance spectroscopy (EIS) techn