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Communication Networks: From Stochastic Models, to Optimization to Machine Learning

William Mong Distinguished Lecture by Professor Kin K. Leung
Nov 15, 2023

Communication Networks: From Stochastic Models, to Optimization to Machine Learning

Date: November 30, 2023 (Thursday)

Time: 5 pm

Venue: Lecture Theatre A, G/F, Chow Yei Ching Building, HKU

Speaker: Professor Kin K. Leung

Electrical and Electronic Engineering, and Computing Departments

Imperial College London

Abstract:

This lecture will briefly overview use of queueing and optimisation models to engineer circuit (telephone) and packet-switching networks. It will highlight use of distributed optimisation theory, based on which the well-known Transport Control Protocol (TCP) is shown to allocate communication bandwidth in a distributed and optimal way on the Internet. As for wireless networks, channel interference and quality of multimedia services complicate resource allocation, which require new distributed solutions.

The speaker will also discuss the relationships between optimisation and machine learning (ML). As ML aims to determine the optimal parameters of neural-network models by using the available datasets, it can also be used to solve general optimisation problems. Ongoing research on applying ML to control future communication networks will be discussed.

About the speaker:

Kin K. Leung is the Tanaka Chair Professor at Imperial College London. He received his B.S. from the Chinese University of Hong Kong, and M.S. and Ph.D. from University of California, Los Angeles. Before joining Imperial, he worked at AT&T Bell Labs in New Jersey from 1986 to 2004. He is a Fellow of the Royal Academy of Engineering, IEEE Fellow, IET Fellow, and member of Academia Europaea. His contributions to communication network technologies have led to significant design improvements and new capabilities of nationwide telecommunication systems, wireless networks, and defense communication networks, both in the U.S. and the UK. He has won many professional awards, including the Bell Labs DMTS Award, Royal Society Wolfson Research Merit Award, IEEE Communications Society (ComSoc) Leonard G. Abraham Prize, IEEE ComSoc Best Survey Paper Award, and U.S.–UK Science and Technology Stocktake Award.

 

All members of the HKU community and the general public are welcome to join. Seats for on-site participants are limited. Interested parties please register through the link below by November 29, 2023 noon: (https://shorturl.at/ipLS5). 

A confirmation email will be sent to participants who have successfully registered.

We look forward to seeing you in the lecture. Thank you.