The Speakers

Dr. Hanumant Singh Shekhawat is working at Indian Institute of Technology Guwahati as an Assistant Professor in the Department of Electronics and Electrical Engineering. He did his postdoc from the Department of Electrical Engineering, Eindhoven University of Technology, and The Netherlands. His research was on multi-linear data (tensor) reduction techniques, which has applications in video/speech processing, MRI and (higher dimensional) data analysis. He completed his PhD in Nov 2012, from the Department of Applied Mathematics, University of Twente, The Netherlands. His research was related to optimization problems in sampling and interpolation. He has completed his masters (in 2004) from the Department of Electrical engineering and his bachelor in Electronics and communication engineering (in 2002) from Indian Institute of Technology Bombay and Rajasthan University in India, respectively. After the master degree, he worked in the Texas Instruments India and Sasken Communications India for around four years in the area of electronics, software and algorithm development. He had visiting faculty position in University of Pardubice, Czech Republic during May-June 2019. Currently, his work is related to problems in radar, tensor, speech, signals and systems.

Wesley De Neve received the M.Sc. degree in Computer Science and the Ph.D. degree in Computer Science Engineering from Ghent University, Ghent, Belgium, in 2002 and 2007, respectively. He is currently working as an Associate Professor for both the IDLab at Ghent University in Belgium and the Center for Biosystems and Biotech Data Science at the Ghent University Global Campus (GUGC) in South Korea. At GUGC, he is responsible for teaching computer science courses on bioinformatics algorithms and scientific problem solving using Python and UNIX. Furthermore, at GUGC, he is responsible for coordinating research activities in the field of biotech data science, paying particular attention to the use of deep machine learning for extracting knowledge from biological sequences and biomedical images.

Dr. Mukesh Saini has 12 years of experience in video processing and data fusion. He obtained Master of Technology (M. Tech) in Electronics Design and Technology from Indian Institute of Science (IISc), Bangalore, in 2006 and PhD in Computer Science from School of Computing, National University of Singapore, Singapore in 2012. He worked as post-doctoral researcher at National University of Singapore, University of Ottawa, and New York University. In recent years, he has focused more in information systems that exploit multimodal data, particularly video audio and text in application areas of smart classrooms, social network analysis, multimedia surveillance, and automatic video mashups.

Dr. S. R. M. Prasanna is Dean (Faculty Welfare, Research and Development) and Professor, Dept of Electrical Engineering at IIT Dharwad since July 2017. He was faculty member at the Dept of Electronics and Electrical Engineering at IIT Guwahati from August 2004 to July 2017. He was also Dean (Research and Development) from July 2015 to July 2017 at IIT Guwahati. He obtained his PhD in CSE from IIT Madras in 2004, MTech in Industrial Electronics from NITK Surathkal in 1997 and BE in Electronics from SSIT Tumakuru in 1994. He has guided 20 PhD Theses and 12 ongoing in the areas of Speech and Handwriting processing. He has published over 250 research articles in reputed Indian and International journals and conferences. He has executed large volume funded projects and also provided consultancy to many public sector and private limited companies in the areas of speech processing.

Uma Shanker Tiwary is a professor and chair of in the Center of Cognitive Computing at the department of Information Technology at Indian Institute of Information Technology, Allahabad, India. In 1991, he completed his PhD. at department of Electronics Engg. in Institute of Technology, B.H.U. Varanasi, India. He worked in the department of Electronics & Communication, J. K. Institute of Applied Physics & Technology, University of Allahabad from Sept.1988 to June 2002. He is holding the research and teaching experience for more than 30 years in which he is very much involved in: Image Processing, Computer Vision, Medical Image Processing, Pattern Recognition & Script Analysis, Digital Signal Processing, Speech and Language Processing, Wavelet Transform, Soft Computing & Fuzzy Logic, Neuro–computing and Soft-computers, Speech driven computers, Natural Language Processing, Brain Simulation, and Cognitive Science. He is also the steering committee chair of International Conference on Intelligent Human Computer Interaction (IHCI).

Shodhan Rao is an Associate Professor of Applied Mathematics/ Director of Research Center for Biosystems and Biotech Data Science at Ghent University Global Campus (GUGC), Incheon, South Korea. He is also a part-time (10%) Professor with the Department of Mathematical Modelling and Data Analysis at Ghent University main campus. He is currently pursuing research on stability, parameter estimation and model reduction of biochemical reaction networks, validity conditions of quasi steady state approximations and on the dynamics of competition network models in ecology. His research interests are in the areas of chemical reaction network theory, systems biology and mathematical ecology.

Gaurav Trivedi received PhD degree in Electrical Engineering from Indian Institute of Technology Bombay, India, in 2007. He is an associate professor in the Department of Electronics and Electrical Engineering, Indian Institute of Technology Guwahati (IIT Guwahati), India. He worked as a senior member of technical staff with Cadence Design Systems and Berkeley Design Automation (presently, Mentor-Siemens) for three years and as a postdoctoral fellow for two years at Indian Institute of Technology Bombay, before joining IIT Guwahati as a faculty member. His research interests include VLSI CAD, semiconductor devices, digital and analog circuit design, high-performance computing, computer architecture and algorithms, Embedded and IoT, and quantum computing. He has coauthored 100+ papers peer reviewed journals and conferences. in He is the member of IEEE.

Jee Hang Lee is an assistant professor in the Department of Human-Centered Artificial Intelligence, Sangmyung University, Seoul, KR. Before joining, he was a research assistant professor in the Department of Bio and Brain Engineering at KAIST, KR (2017-2020), where he was a winner of KI HST postdoc fellowship (2017-2018). Prior to joining KAIST, he was a Research Associate at University of Bath, UK (2015-2016). He received his Ph.D. in AI from University of Bath, UK, in 2015. Before coming back to academia, he was a Senior Engineer at Samsung Electronics (2005-2010), and Researcher at Hangul & Computer Inc (2000-2005). His research interests include reasoning and decision making based upon brain-inspired artificial intelligence.

Navin Singh Rajput is an Associate Professor in the Department of Electronics Engineering at Indian Institute of Technology (BHU), Varanasi, India. He has established the R&D and Technology Extension Laboratory for Networked Communication and Computation (NCC LAB) to support advanced systems for IoT, CPS and Robotics apart from many other key central facilities. He is the recipient of Ministry of Human Resource Development (MHRD), Govt. of India’s prestigious national award “Teaching Innovator Award”. He is the recipient of the IBM Faculty Award for $10,000 and the NVIDIA Hardware Grant worth $5,000 for the development of India’s first Swachh Bharat (Clean India) Android App. He is also member of National Supercomputing Mission (NSM), Govt. of India, an Indian Grid Certification Authority for access to National and International supercomputing grid and Nodal Officer, National Knowledge Network (NKN). His research interests include the design and development of smart sensors and systems in the IoT and CPS paradigm for smart city solutions especially gas sensing systems, advanced precision agriculture systems and robotics. He has authored the book “Blockchain for Smart City Applications (2020)” published by Springer Nature.