Dr. Lizhong Zheng
Department of Electrical Engineering and Computer Sciences
Laboratory of Information and Decision Systems
Massachusetts Institute of Technology


            Dynamic Information Transmission over Feedback Channels

Abstract: We study the classical problem of communication over channels with perfect causal feedbacks. We focus on using the feedback information to improve the reliability of information transmissions. The key issue is to incrementally adjust the coding function according to what the receiver has learned at each time point. The coding problem is formulated as a dynamic programming, with approximated smoothed value functions. While our solutions improve achievable error exponent for general feedback channels, we also raise through this study the fundamental question as how to measure the effectiveness of a dynamic information transmission scheme. 

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Bio: Lizhong Zheng received the B.S and M.S. degrees, in 1994 and 1997 respectively, from the Department of Electronic Engineering, Tsinghua University, China, , and the Ph.D. degree, in 2002, from the Department of Electrical Engineering and Computer Sciences, University of California, Berkeley. Since 2002, he has been working in the Department of Electrical Engineering and Computer Sciences at Massachusetts Institute of Technology, where he is currently the Steven and Rene Finn associate professor. His research interests include information theory, wireless communications and wireless networks. He received Eli Jury award from UC Berkeley in 2002, IEEE Information Theory Society Paper Award in 2003, NSF CAREER award in 2004, AFOSR Young Investigator Award in 2007.

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Jointly Sponsored by Department of Electrical Engineering and Computer Science and CASE Center and IEEE SP/COM/AES Syracuse Chapter

http://www.lcs.syr.edu/academic/dept_electricalengcompsci/colloquium.aspx