Dr. Swades De of Indian Institute of Technology Delhi

Smart environments in wide-ranging applications are expected to have a large number of static/mobile IoT devices operating via machine-type communications for sensing/monitoring, actuation, and control purposes. For scalability and widespread adoption of such autonomous environments the IoT devices and the network need to be low-cost, light in terms of energy and data footprints, and potentially self-adaptive, so as to minimize human intervention. In this context, in this talk, we will present a data-driven approach to the performance optimization of IoT network systems. By application of context-aware learning of temporal and spatial dynamic stochasticity and cross-correlation of the sensing parameters of interest, the multi-sensing and communication activities of the IoT nodes are optimized. Further, data communication priority is dynamically adapted, thereby further minimizing sensing and communication-related energy and communication bandwidth overheads. A few examples, include smart power grid monitoring and smart sensing IoT systems, we will demonstrate how data-driven, context-aware light-weight
machine learning and edge computing-aided approaches can be utilized for more accurate system performance characterization and optimizations, leading to significant processing, communication, and storage resource efficiency and energy sustainability of the IoT network. We will share our experiences from field experiments, proof-of-concept implementations, and campus-wide deployments, and will highlight the possibilities of learning-aided networking optimizations for various multidisciplinary-disciplinary applications.

Time: Feb 6, 2023, 06:30 PM Eastern Time (US and Canada)

Join Zoom Meeting
https://us02web.zoom.us/j/9514547039

Meeting ID: 951 454 7039

Biography:

Dr. Swades De is a Professor in the Department of Electrical Engineering and an Institute Chair Professor at
Indian Institute of Technology Delhi. Before moving to IIT Delhi in 2007, he was a tenure-track Assistant
Professor of Electrical and Computer Engineering at New Jersey Institute of Technology (2004-2007).
He worked as a post-doctoral researcher at ISTI-CNR, Pisa, Italy (2004), and has nearly 5 years industry
experience in India on communication hardware and software development (1993-1997, 1999). He received his
PhD in Electrical Engineering from the State University of New York at Buffalo, MTech in Optoelectronics and
Optical Communications from Indian Institute of Technology Delhi, and BTech in Radiophysics and Electronics
from University of Calcutta.

Dr. De's research interests are broadly in communication networks, with emphasis on performance modeling and
analysis. Current directions include resource optimization, energy harvesting, wireless energy transfer,
sustainable and green communications, spectrum sharing, smart grid networks, and IoT communications. To date,
he has published over 230 articles in top journals and conferences, a few book chapters, an edited book,
1 US/EU/WO patent, and filed 9 Indian patents and 6 US/EU patents.

Dr. De currently serves as an Area Editor for IEEE Communications Letters and Elsevier Computer Communication, and Editor for IEEE Transactions on Vehicular Technology, IEEE Wireless Communications Letters, and IEEE Wireless Communications Magazine. He is a Fellow of the Indian National Academy of Engineering, National Academy of Sciences, India, Institute of Engineers, India, and Institution of Engineering and Technology, UK. Dr. De is a recipient of the Abdul Kalam Technology Innovation National Fellowship and an IEEE Vehicular Technology Society Distinguished Lecturer.

Email:

Address:IIT Delhi, , New Delhi, New Jersey, United States