Keynote Speakers

Speaker: Dr. Dharma P. Agrawal, OBR Distinguished Professor, Director, Center for Distributed and Mobile Computing, Department of Electrical Engineering and Computer Science, University of Cincinnati, Cincinnati, USA

Title of Talk: Muscle Fatigue Detection using Infrared Thermography

Biography: Dharma P. Agrawal is the Ohio Board of Regents Distinguished Professor and the founding director for the Center for Distributed and Mobile Computing in the Department of Electrical Engineering and Computing Systems. He has been a faculty member at the ECE Dept., Carnegie Mellon University (on sabbatical leave), N.C. State University, Raleigh and the Wayne State University. His recent research interests include applications of sensor networks in monitoring Parkinson’s disease patients, applications of sensor networks in monitoring fitness of athletes’ personnel wellness, applications of sensor networks in monitoring firefighters physical condition in action, efficient secured communication in Sensor networks, secured group communication in Vehicular Networks, use of Femto cells in LTE technology and interference issues, heterogeneous wireless networks, and resource allocation and security in mesh networks for 4G technology. His recent contribution in the form of a co-authored introductory text book on Wireless and Mobile Computing has been widely accepted throughout the world and third edition has been published. The book has been reprinted both in China and India and translated in to Korean and Chinese languages. His co-authored book on Ad hoc and Sensor Networks, 2nd edition, has been published in spring of 2011. He just authored a new textbook on “Embedded Sensor Systems,” published by Springer. A co-edited book entitled, Encyclopedia on Ad Hoc and Ubiquitous Computing, has been published by the World Scientific and co-authored books entitled Wireless Sensor Networks: Deployment Alternatives and Analytical Modeling, and Innovative Approaches to Spectrum Selection, Sensing, On-Demand Medium Access in Heterogeneous Multihop Networks, and Sharing in Cognitive Radio Networks have been published by Lambert Academic.

He is a founding Editorial Board Member, International Journal on Distributed Sensor Networks, International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC), International Journal of Ad Hoc & Sensor Wireless Networks and the Journal of Information Assurance and Security (JIAS). He has served as an editor of the IEEE Computer magazine, the Journal of Parallel and Distributed Systems, the IEEE Transactions on Computers and the International Journal of High Speed Computing. He has been the Program Chair and General Chair for numerous international conferences and meetings. He has received numerous certificates from the IEEE Computer Society. He was awarded a Third Millennium Medal, by the IEEE for his outstanding contributions. He has delivered keynote speech at 43 different international conferences. He has published over 691 papers, given 67 different tutorials and extensive training courses in various conferences in USA, and numerous institutions in Taiwan, Korea, Jordan, UAE, Malaysia, and India in the areas of Ad hoc and Sensor Networks and Mesh Networks. He has graduated 76 PhDs and 69 MS students. He has been named as an ISI Highly Cited Researcher, is a Fellow of the IEEE, the ACM, the AAAS and the World Innovation Foundation, and a recent recipient of 2008 IEEE CS Harry Goode Award. In June 2011, he was selected as the best Mentor for Doctoral Students at the University of Cincinnati. Recently, he has been named a Charter Fellow of the National Academy of Inventors.

Talk description: Wireless Sensor Networks (WSNs) have been primarily introduced for defense applications, using large number of wireless sensor nodes (SNs) and a Base Station (BS) that collects information from all SNs. Secured communication in a WSN is an important aspect ignored by researchers and an innovative technique of distributing keys for shared secret key-based communication is described and various characteristics including resiliency are outlined. This presentation first introduces basics of sensor networks and the covers the problem of muscle fatigue which affects people from all walks of life. Muscle fatigue can be defined as a reversible decrease in the contractile strength of the muscle(s) that occurs after long lasting or repetitive muscular activity. Muscle fatigue, when not diagnosed and treated in the early stages, leads to muscle injuries which tend to have long-lasting effects. The current technologies which are used to detect and treat muscle fatigue are highly invasive and often require the personnel to visit specialized clinics. A non-invasive, cost-efficient method for detecting muscle fatigue is crucial. Infrared thermography is a non-radiating and contact-free technology which measures the surface temperature of objects. Infrared thermography can be an effective non-invasive technology which can be used to detect muscle fatigue. The thermal images of the test subjects are taken before and after the exercise routine. The changes in temperature values of the regions of interest have been tabulated and the results indicate a clear correlation between muscle fatigue and increase in the measured temperature. We conclude this talk with final remarks.

Speaker: Dr. Rajesh M. Hegde, Professor and Umang Gupta Chair, Department of Electrical Engineering, Indian Institute of Technology, Kanpur, India

Title of Talk: Artificial Intelligence and Machine Learning for 5G Wireless Networks

Biography: Prof. Hegde’s primary research contributions at IIT Kanpur have been in the areas of Sensor Array and Multi-channel signal processing, Automatic Recognition of Spoken Indian Languages, Multi modal signal processing, Wireless sensor networks, Internet of Things (IoT), Cyber Physical Systems (CPS) and ICT for socially relevant applications like Agriculture. As part of this effort, two laboratories namely Multi modal signal processing Lab (MiPS Lab) and Wireless Sensor Networks Lab (WSN Lab) have been established. The laboratories are equipped with state of the art equipment like Audio-Visual arrays (Linear, circular and spherical), Acoustic Cameras, and a state of the art wireless sensor network test bed. Significant funding has been generated from both Sponsored research and Industrial consultancy projects from various funding agencies including DST, MietY, MHRD, Samsung, LG, and BSNL which are supplementing his group’s research. He has made some significant contributions in the area of array signal processing and source separation. Some of his other significant contributions are in the areas of multi sensor data fusion for localization and node tracking in the context of mobile wireless sensor networks. This work has also led to the development of several new technologies with specific applications in ICT, Teleconferencing, Internet of things (IoT) and Cyber Physical Systems (CPS). His research group has also been very active in the development and deployment of socially relevant applications in the Indian Context and subsequent transfer of this technology to Industry. Some of the successful technology transfers include Digital Mandi for the Indian Kisan, Intelligent Video Retrieval on Cell phones (transferred to BSNL), and Video/Audio Analyser to LG India.

Abstract: 5G technology is making rapid advances and introducing new challenges in mobile communications. Artificial Intelligence (AI) and Machine learning (ML) techniques are opening up new opportunities in the mobile communications area, as these techniques can be used to personalize user experience, while reducing the cost of network deployment and maintenance.

In this talk a brief introduction to the features of 5G wireless networks will be presented first in comparison to earlier versions like 3/4 G wireless networks. Key infrastructure aspects and enabling technologies driving the 5G revolution will then be discussed. Typical methods to develop AI/ML powered 5G networks which are context aware and have cognitive abilities will be discussed along with a list of research issues in this exciting technology domain. A brief description how state of the art techniques like AR/VR are driving 5G network limits will also be presented. The talk will conclude by providing pointers and insights to signal processing researchers on how they can contribute to this exciting area.

Speaker: Dr. Vipin Chaudhary, SUNY Empire Innovation Professor, SUNY Buffalo, USA

Title of Talk: Four Decades of HPC: Architectures, Programming Environments, Systems, and Applications

Biography: A veteran of High Performance Computing (HPC), Dr. Chaudhary has been actively participating in the science, business, government, and technology innovation frontiers of HPC for over three decades. His contributions range from heading research laboratories and holding executive management positions, to starting new technology ventures. Vipin Chaudhary is the SUNY Empire Innovation Professor of Computer Science and Engineering at SUNY Buffalo, and the co-founder of the Center for Computational and Data-Enabled Science and Engineering. He is currently on an IPA appointment at the National Science Foundation where he is serving as a Program Director in the NSF Office of Advanced Cyberinfrastructure. He cofounded Scalable Informatics, a leading provider of pragmatic, high performance software-defined storage and compute solutions to a wide range of markets, from financial and scientific computing to research and big data analytics. From 2010 to 2013, Dr. Chaudhary was the Chief Executive Officer of Computational Research Laboratories (CRL) where he grew the company globally to be an HPC cloud and solutions leader before selling it to Tata Consulting Services. Prior to this, as Senior Director of Advanced Development at Cradle Technologies, Inc., he was responsible for advanced programming tools for multi-processor chips. He was also the Chief Architect at Corio Inc., which had a successful IPO in July 2000 and later sold to IBM. Dr. Chaudhary received his Ph.D. from The University of Texas at Austin and his B.Tech. from the Indian Institute of Technology at Kharagpur where he was the President’s gold medalist. His current research interests are in High Performance Computing; Big Data; Computer Assisted Diagnosis and Interventions; and Quantum Computing.

Talk description: High performance computing (HPC) impacts every aspect of scientific endeavor. In this talk I will cover various HPC problems and applications over four decades from my journey in academia and industry. These include new multi-(many) core processors and interconnection networks, parallelizing compilers for non-uniform dependences, OpenMP for heterogeneous processors, Virtual Machines for HPC, multi-threaded embedded operating systems, accelerating bioinformatics algorithms using FPGAs and GPUs, hyper-converged computer systems and variable redundancy for flash storage arrays, and machine learning. I will describe applications of HPC in surgery and medical diagnosis and the future challenges in HPC.

Speaker: Prof. Sri Krishnan, Department of Electrical, Computer, and Biomedical Engineering, Ryerson University, Toronto, Ontario, Canada

Title of Talk: A journey of five generations of biomedical signal feature extraction

Biography: Prof. Sri Krishnan received the B.E. degree in Electronics and Communication Engineering from the College of Engineering, Guindy, Anna University, India, in 1993, and the M.Sc. and Ph.D. degrees in Electrical and Computer Engineering from the University of Calgary, Calgary, Alberta, Canada, in 1996 and 1999 respectively. He joined the Department of Electrical, Computer, and Biomedical Engineering, Ryerson University, Toronto, Ontario, Canada in July 1999, and currently he is a Professor in the Department. Since July 2011, he is an Associate Dean (Research and Development) for the Faculty of Engineering and Architectural Science. He is also the Founding Co-Director of the Institute for Biomedical Engineering, Science and Technology (iBEST) and an Affiliate Scientist at the Keenan Research Centre in St. Michael's Hospital, Toronto. iBEST is a research and innovation partnership between Ryerson University and St. Michael's Hospital which includes more than 37 scientists/engineers and 110 students/trainees from both the institutions with the mandate of bench to bedside discovery research to translational outcomes. Sri Krishnan held the Canada Research Chair position (2007-2017) in Biomedical Signal Analysis. He serves in the editorial boards of Biomedical Signal Processing and Control journal and Sensors journal. Sri Krishnan is also a technical committee member of Biomedical Signal Processing in the IEEE Engineering in Medicine and Biology Society. He is a Fellow of the Canadian Academy of Engineering and a registered professional engineer in the Province of Ontario.

Talk description: This talk will cover historical and state-of-the-art developments in signal processing and machine learning techniques applied to biomedicine. Most of the real world signals possess non-stationary and non-linear characteristics. Information processing and feature extraction from these signals is a challenging task. This talk will focus on five generations of signal processing algorithms developed for analysis and interpretation of biomedical signals. The talk will touch upon event analysis, spectral analysis, time-frequency domain analysis and multi-modal biomedical signal processing. Recent advances in using sparse signal representation and compressive sensing of long-term signals from wearables will also be covered. The application of the extraction and classification of features from cardiac signals, bio-acoustical signals, and sleep signals will be discussed in detail.

Speaker: Prof. Jayanta Mukhopadhyay, Professor, Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur, India

Title of Talk: Research in medical imaging, processing, and informatics: prospect and perspective

Biography: Dr. Jayanta Mukhopadhyay (Mukherjee) received his B.Tech., M.Tech., and Ph.D. degrees in Electronics and Electrical Communication Engineering from the Indian Institute of Technology (IIT), Kharagpur in 1985, 1987, and 1990, respectively. He joined the faculty of the Department of Electronics and Electrical Communication Engineering at IIT, Kharagpur in 1990 and later moved to the Department of Computer Science and Engineering where he is presently a Professor. He served as the head of the Computer and Informatics Center at IIT, Kharagpur from September 2004 to July 2007. He also served as the head of the Department of Computer Science and Engineering and the School of Information and Technology from April, 2010 to March, 2013. He was a Humboldt Research Fellow at the Technical University of Munich in Germany for one year in 2002. He also has held short term visiting positions at the University of California, Santa Barbara, University of Southern California, and the National University of Singapore. His research interests are in image processing, pattern recognition, computer graphics, multimedia systems and medical informatics. He has published about 250 research papers in journals and conference proceedings in these areas. He received the Young Scientist Award from the Indian National Science Academy in 1992. Dr. Mukherjee is a Senior Member of the IEEE. He is a fellow of the Indian National Academy of Engineering (INAE).

Talk description: Research in medical informatics is multifaceted, and has a wide scope of addressing any issue related to computing and technological advancement in healthcare and medicine. A specialized domain of this area is medical image processing primarily dealing with image based studies, whereas medical imaging further narrows down the scope to noninvasive studies of anatomy and physiology of living beings. Nevertheless, there are generic issues and challenges while doing research in these areas. In this talk, we would consider them from a wholistic view point through a few case studies.