演講題目 Topic：Modeling, Learning, and Control in Future Wireless Systems

演  講  者 Speaker：Prof. Tony Q.S. Quek, Singapore University of Technology and Design

                                                                       ComSoc Distinguished Lecturer

時　　間 Date & Time：2020/3/5, Thursday 10:30

地　　點 Place：清華大學台達館 304室 (Delta Building R304)

ABSTRACT

Claude Shannon founded information theory with a landmark paper "A Mathematical Theory of Communication" that he published in 1948, which is the fundamental cornerstone of today’s communication systems. At the same time, Norbert Wiener published his book “Cybernetics; or, Control and Communication in the Animal and the Machine”, which established the science of cybernetics. Interestingly, these two fields have developed in parallel and we are seeing the possible intersection of these two fields in future wireless systems. In this talk, we will motivate the need to understand modeling, learning, and control in future wireless systems by sharing some preliminary results in this area.

BIOGRAPHY

Tony Q.S. Quek received the B.E. and M.E. degrees in Electrical and Electronics Engineering from Tokyo Institute of Technology, Tokyo, Japan, respectively. At Massachusetts Institute of Technology (MIT), Cambridge, MA, he earned the Ph.D. in Electrical Engineering and Computer Science. Currently, he is the Cheng Tsang Man Chair Professor with Singapore University of Technology and Design (SUTD). He also serves as the Acting Head of ISTD Pillar, Sector Lead for SUTD AI Program, and the Deputy Director of SUTD-ZJU IDEA. His current research topics include wireless communications and networking, big data processing, network intelligence, URLLC, and IoT.

Dr. Quek has been actively involved in organizing and chairing sessions and has served as a TPC member in numerous international conferences. He is serving as the General Chair for IEEE ICCC 2020. He is currently serving as an Editor for the IEEE Transactions on Wireless Communications, the Chair of IEEE VTS Technical Committee on Deep Learning for Wireless Communications as well as an elected member of the IEEE Signal Processing Society SPCOM Technical Committee. He was an Executive Editorial Committee Member of the IEEE Transactions on Wireless Communications, an Editor of the IEEE Transactions on Communications, and an Editor of the IEEE Wireless Communications Letters. He is a co-author of a few books published by Cambridge University Press.

Dr. Quek received the 2008 Philip Yeo Prize for Outstanding Achievement in Research, the 2012 IEEE William R. Bennett Prize, the 2016 IEEE Signal Processing Society Young Author Best Paper Award, 2017 CTTC Early Achievement Award, 2017 IEEE ComSoc AP Outstanding Paper Award, and 2016-2019 Clarivate Analytics Highly Cited Researcher. He is a Distinguished Lecturer of the IEEE Communications Society and a Fellow of IEEE.