Date: 10 May 2024, Friday
Time: 4:30pm
Venue: YEUNG Y5-203, City University of Hong Kong
Zoom Meeting ID: 955 7075 2299
Password: 123456
Speaker: Dr Lin Lin, City University of Hong Kong
Analysis, Synthesis and Learning of Network-Inspired Systems
Dr Lin Lin, City University of Hong Kong
Abstract: This seminar will discuss the analysis, synthesis and learning problems for several classes of network-inspired finite-valued systems, including finite-field networks, Boolean networks, logical dynamic systems, and Markov chains. They are effective models to describe agents operating under realistic circumstances with limited capacities for storing, processing and transmitting information. To tackle the challenges posed by high computational complexity and large memory storage, the present investigation is concerned with several approaches, such as establishing a quotient/bisimulation-based scale reduction method, designing optimal triggering control strategy, exploring network structure information, leveraging data structure storage, employing graph-theoretical algorithms, and incorporating reinforcement learning techniques.
Speaker’s Bio:Dr. Lin Lin is currently a Post-Doc Fellow at the Department of Electrical Engineering, City University of Hong Kong. She received her Ph.D. degree in Engineering from the Department of Mechanical Engineering at The University of Hong Kong in 2024. She was a visiting research student at the University of Adelaide, King’s College London, and Hokkaido University in Oct.-Dec. 2022, May-Jul. 2023, and Feb. 2024, respectively. Her research interests include networked collective intelligence, Markov chains, control theory, and reinforcement learning. Dr. Lin was a finalist for the Lotfi Zadeh Best Paper Award at the 22nd International Conference on Machine Learning and Cybernetics in 2023. She was a recipient of the Outstanding Master Degree Thesis Award from the Chinese Institute of Electronics and the Outstanding Master Degree Thesis Award from Jiangsu Province, China, both in 2022.
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