Date: 13 December 2024, Friday
Time: 4:30pm
Venue: CD 634, The Hong Kong Polytechnic University
Zoom Meeting ID: 383 735 6917
Password: 270831
Speaker: Dr. Kai Fung Chu, University of Cambridge, UK
From Networked Multi-Agent System to Physical Traffic Computing
Dr. Kai Fung Chu, University of Cambridge, UK
Abstract: The capabilities of multi-agent systems are influenced by their underlying network dynamics. Computational intelligence plays a pivotal role in enhancing their performance by reconfiguring the networks, yet it often depends on computation resources in centralized or decentralized devices. Addressing the computational resource constraints could significantly scale up a multi-agent system. In this talk, I will first present how to control the network dynamics for collective goals by showing my research works that exemplify the network reconfiguration process. Then, I will present how an alternative computation resource could be induced by the intrinsic dynamics within a mobile multi-agent system, supported by concrete examples. Finally, I will discuss future research directions in harnessing dynamics-induced computation resources of multi-agent systems.
Speaker’s Bio:Kai-Fung Chu is a Marie Skłodowska-Curie Fellow in the Department of Engineering, University of Cambridge. He received the Ph.D. degree in Electrical and Electronic Engineering from The University of Hong Kong, and the M.Sc. (Distinction) and B.Eng. (First Class Honors) degrees in Electronic and Information Engineering from The Hong Kong Polytechnic University. Prior to joining the University of Cambridge, he was a Research Assistant Professor at the Department of Computing, The Hong Kong Polytechnic University, and a Research Fellow of the School of Aerospace, Transport and Manufacturing, Cranfield University. He also worked in the industry as an engineer for several years. His research interests include multi-agent systems, mobile robots, autonomous vehicles, and intelligent transportation systems.
WEBINAR WEBSITE:
https://www.ee.cityu.edu.hk/~cccn/webinar/
