KEYNOTE SPEAKERS |
Title: Physics-Informed AI for Smart IoT : A World Model Approach |
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Professor Junshan Zhang
Fellow of National Academy of Inventors, Fellow of the IEEE Editor-in-Chief, IEEE/ACM Transactions on Networking University of California Davis, USA |
Abstract |
To Be Announced |
Biography |
Junshan Zhang is a professor in the ECE Department at University of California Davis. He received his Ph.D. degree from the School of ECE at Purdue University in Aug. 2000, and was on the faculty of ASU from 2000 to 2021. His research interests fall in the general field of information/data science and ML/AI, including edge AI, reinforcement learning, self-supervised learning, world model, continual learning, network optimization and control, with applications in connected and automated vehicles, 5G and beyond, wireless networks, Internet of Things (IoT), and smart grid. He is fortunate to be one of the pioneering researchers in the areas of edge computing and edge AI, cross-layer optimization of wireless networks, and cooperative relaying.
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