Plenary Speakers
| Aaron B. Wagner Professor Cornell University Title: To be announced. Abstract: To be announced. Biography: To be announced. |
| Prakash Narayan Professor University of Maryland, College Park Title: To be announced. Abstract: To be announced. Biography: Prakash Narayan received the Bachelor of Technology degree in Electrical Engineering from the Indian Institute of Technology, Madras, in 1976, and the M.S. and D.Sc. degrees in Systems Science and Mathematics, and Electrical Engineering, respectively, from Washington University, St. Louis, MO, in 1978 and 1981. He is Professor of Electrical and Computer Engineering at the University of Maryland, College Park, with a joint appointment at the Institute for Systems Research. His research interests are in network information theory, coding theory, communication theory, communication networks, and statistical learning. Narayan has served as Associate Editor for Shannon Theory, Executive Editor and Editor-in-Chief of the IEEE Transactions on Information Theory. He is a Fellow of the IEEE. |
| Yuejie Chi Sense of Wonder Group Endowed Professor in AI Systems Carnegie Mellon University Title: To be announced. Abstract: To be announced. Biography: Dr. Yuejie Chi is the Sense of Wonder Group Endowed Professor of Electrical and Computer Engineering in AI Systems at Carnegie Mellon University, with courtesy appointments in the Machine Learning department and CyLab. She received her Ph.D. and M.A. from Princeton University, and B. Eng. (Hon.) from Tsinghua University, all in Electrical Engineering. Her research interests lie in the theoretical and algorithmic foundations of data science, signal processing, machine learning and inverse problems, with applications in sensing, imaging, decision making, and AI systems. Among others, Dr. Chi received the Presidential Early Career Award for Scientists and Engineers (PECASE), SIAM Activity Group on Imaging Science Best Paper Prize, IEEE Signal Processing Society Young Author Best Paper Award, and the inaugural IEEE Signal Processing Society Early Career Technical Achievement Award for contributions to high-dimensional structured signal processing. She is an IEEE Fellow (Class of 2023) for contributions to statistical signal processing with low-dimensional structures. |
| Guangyue Han Professor The University of Hong Kong Title: A Stochastic Calculus Approach to Continuous-Time Gaussian Channels Abstract: Continuous-time Gaussian channels have traditionally been formulated and investigated using functional analysis. Although this approach is intuitively appealing, it presents several challenges. This talk will focus on the stochastic calculus approach, which, despite being less widely known, can effectively address many of the issues associated with the classical functional analysis method. It turns out that with some recent enhancement, the stochastic calculus approach can recover numerous existing results on continuous-time Gaussian channels, quantitatively strengthen some well-established findings in the literature and further rigorously derives new results. Biography: Guangyue Han received the B.S. and M.S. degrees in mathematics from Peking University, China, in 1997 and 2000, respectively, and the Ph.D. degree in mathematics from the University of Notre Dame, USA, in 2004. After three years with the Department of Mathematics, the University of British Columbia, Canada, he joined the Department of Mathematics, the University of Hong Kong, China, in 2007. His main research areas are coding and information theory. |
