AI: A Networking and Communication Perspective | SGInnovate
September 16 2021

Location

Online Event
Singapore

AI: A Networking and Communication Perspective

Presented by SGInnovate and ITU

Recent breakthroughs in artificial intelligence and machine learning - such as deep neural networks, the availability of powerful computing platforms and big data, are providing us with technologies to perform tasks that once seemed impossible. In the near future, autonomous vehicles and drones, intelligent mobile networks, and intelligent internet-of-things (IoT) will become a norm. At the heart of this technological revolution, it is clear that we will need to have artificial intelligence over a massively scalable, ultra-high capacity, ultra-low latency, and dynamic new network infrastructure. In this talk, we will provide a simple overview of AI from the perspective of networking and communications and share some interesting applications. In addition, we will also share some of our preliminary works in this area.

The webinar is jointly organised by ITU and SGInnovate.

Date: 16 September 2021, Thursday
Time: 4:00pm - 5:00pm (Singapore Time / UTC +8)

Programme:
4:00pm - 4:05pm:
Welcome
4:05pm - 5:00pm: Keynote Presentation and Q&A on AI: A Networking and Communication Perspective by Dr Tony Q.S Quek, Cheng Tsang Man Chair Professor, Director, Future Communications R&D Programme and Head of ISTD Pillar, Singapore University of Technology and Design

Speaker's Profile:
Dr Tony Q.S Quek, Cheng Tsang Man Chair Professor, Director, Future Communications R&D Programme and Head of ISTD Pillar, Singapore University of Technology and Design

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Tony Q.S. Quek received the B.E. and M.E. degrees in Electrical and Electronics Engineering from the Tokyo Institute of Technology, respectively. At MIT, he earned the PhD in Electrical Engineering and Computer Science. Currently, he is the Cheng Tsang Man Chair Professor and Full Professor with Singapore University of Technology and Design (SUTD). He also serves as the Head of ISTD Pillar, Sector Lead for SUTD AI Program, Director of Future Communications R&D Programme, 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 currently serving as an Editor for the IEEE Transactions on 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, the 2017 CTTC Early Achievement Award, the 2017 IEEE ComSoc AP Outstanding Paper Award, the 2020 IEEE Communications Society Young Author Best Paper Award, the 2020 IEEE Stephen O. Rice Prize, the 2020 Nokia Visiting Professor, and the 2016-2020 Clarivate Analytics Highly Cited Researcher. He is a Fellow of IEEE.

 

Topics: AI / Machine Learning / Deep Learning

Industry: ICT