IEEE Fellow 新加坡科技设计大学Tony Q. S. Quek教授学术报告

来源:信息科学与技术学院  作者:李里  日期:2019-08-20  点击数:448

报告题目(Title):     Towards Massive, Ultra-Reliable, and Low-Latency Communications

报告专家(Speaker):Prof. Tony Q. S. Quek

报告时间(Time):    2019年8月22日,周四上午9:00-10:30

报告地点(Venue):  国际合作中心(一食堂背面)2楼主会议室

主持人(Chair):         李里


内容提要(Outline of the talk):

Massive machine type and low-latency communications are already indispensable use cases of 5G wireless networks. This will open up new ways to monitor, assist, secure, control with applications ranging from machine-type communications to mission-critical communications. In particular, interaction includes not just sensing but also simultaneous actuation of numerous connected devices, especially for services with stringent requirements on latency, reliability and availability, e.g. tactile internet. Such tactile services will require ultra-reliable low-latency communications (URLLC) with the reaction time of an object/device be around 1ms. In this talk, we will develop a framework for guaranteeing both low-latency and ultra-reliability requirements of URLLC in the presence of massive IoT applications, and share some of our recent works.


报告人简介(Biography of the Speaker)

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 2016-2018 Clarivate Analytics Highly Cited Researcher. He is a Distinguished Lecturer of the IEEE Communications Society and a Fellow of IEEE.