COLLEGE OF ENGINEERING

Centre for Complexity and Complex Networks
複雜性科學與複雜網絡研究中心

College of Engineering
Centre for Complexity and Complex Networks
複雜性科學與複雜網路研究中心

CityU-CCCN-PolyU Joint Seminars

The CCCN-CityU-PolyU Joint Seminar Series began in 2001, and has since become regular weekly meetings for visitors, faculty, researchers and students to discuss latest progresses in their research. The usual venue is FYW-3316, Fong Yun Wah Building (access from Chinese Garden corridor, down the escalator on the left of the gate connecting Festival Walk) at CityU or CD-634, Core D of PolyU.

SEMESTER A, 2025/26, Friday, 4:30pm

SEMINAR TOPICS / SPEAKERS VENUE / ZOOM ID
September 1, 2025, Monday, 10:30am
Advances in Wireless Power Transfer Technology
Prof. Udaya Madawala, University of Auckland, New Zealand
FYW-3316, CityU
Zoom ID: 838 3173 9694
Password: 123456
September 5, 2025, Friday, 4:30pm
Multi-Timescale Coordinated Control for Shipboard DC Integrated Power Systems
Dr Yuji Zeng, City University of Hong Kong
FYW-3316, CityU
Zoom ID: 859 8869 4437
Password: 123456
September 12, 2025, Friday, 4:30pm
Looking into WiFi Channel State Information (CSI): From Signal Processing Foundations to Practical Applications
Dr Ruiqi Kong, The Chinese University of Hong Kong
BC 303, PolyU
Zoom ID: 383 735 6917
Password: 270831
September 19, 2025, Friday, 4:30pm
Design and Application of Capacitive Power Transfer Systems
Dr Ying Cathy Liu, Harbin Institute of Technology, Harbin
FYW-3316, CityU
Zoom ID: 859 8869 4437
Password: 123456
September 26, 2025, Friday, 4:30pm
Towards Resilient Autonomous Cyber-Physical Systems Against Adversarial Examples
Prof. Qun Song, City University of Hong Kong
FYW-3316, CityU
Zoom ID: 859 8869 4437
Password: 123456
October 3, 2025, Friday
National Day and Mid Autumn Break
October 10, 2025, Friday, 4:30pm
Analysis and Suppression of Electrical Instability for Multi-Vehicle Interconnected Systems in Electrified Railways
Dr. Xiangyu Meng, City University of Hong Kong
FYW-3316, CityU
Zoom ID: 859 8869 4437
Password: 123456
October 17, 2025, Friday, 4:30pm
Thermally Drawn Fiber Electronics
Prof. Zhixun Wang, Hong Kong Polytechnic University
P309, PolyU
Zoom ID: 270 294 7238
Password: 123456
October 24, 2025, Friday, 4:30pm
Building Hurricane-Resilient Urban Grids by Climate-Informed System Hardening Optimization
Mr Shuo Li, City University of Hong Kong
FYW-3316, CityU
Zoom ID: 859 8869 4437
Password: 123456
October 28, 2025, Friday, 3:00pm
Functional Observers: Theory and Applications
Prof. Tyrone Fernando, University of Western Australia
FYW-3316, CityU
In-Person Mode Only
October 31, 2025, Friday, 4:30pm
Resilient Control and Stealthy Attack for Neworked Switched Systems
Dr Rui Zhao, Tianjin University, Tianjin
FYW-3316, CityU
Zoom ID: 859 8869 4437
Password: 123456
November 7, 2025, Friday, 4:30pm
Distributed Decision-Making and Control Integration Design for Heterogeneous Networked Systems
Dr Chengxin Xian, The Hong Kong Polytechnic University
FYW-3316, CityU
Zoom ID: 859 8869 4437
Password: 123456
November 14, 2025, Friday, 4:30pm
Optimal Control of Hydrogen Fuel Cells
Dr Yulin Liu, Hong Kong Polytechnic University
FYW-3316, CityU
Zoom ID: 859 8869 4437
Password: 123456
November 21, 2025, Friday, 4:30pm
Topic to be decided
TBD
November 28, 2025, Friday, 4:30pm
Modeling LLMs as Complex Systems: Recent Advances
Dr Hao Liao, Shenzhen University
FYW-3316, CityU
Zoom ID: 859 8869 4437
Password: 123456
December 5, 2025, Friday, 4:30pm
Minimal Stability-Recovery in Perturbed Markov Chains
Dr Lin Lin, The University of Hong Kong
FYW-3316, CityU
Zoom ID: 859 8869 4437
Password: 123456
December 12, 2025, Friday, 4:30pm
Topic to be decided
TBD
Please let us know by email (chitse@cityu.edu.hk or encmlau@polyu.edu.hk) if you need a campus access code to attend the seminars in person.

Past Seminars


NEXT SEMINAR

____________________________________
November 14, 2025, Friday, 4:30pm
Room FYW-3316
Zoom ID 859 8869 4437
Password 123456

Optimal Control of Hydrogen Fuel Cells
Dr Yulin Liu, Hong Kong Polytechnic University

Abstract: This seminar focuses on the application of advanced machine learning techniques in the optimal control of hydrogen fuel cells. The proposed methods possess the merits of superior control performance, model independence, low computational burden, and guaranteed closed-loop stability, which make them attractive for industrial applications that require robustness under uncertainty and low computational cost.

Speaker's Bio: Yulin Liu received the B.E. degree in automation from the Southwest University, China, in 2018. He received his MPE degree in electrical and electronic engineering from The University of Western Australia (UWA), Australia, in 2020. He received his PhD degree in electrical and electronic engineering from UWA, Australia, in 2024. From 2024-2025, he was a postdoctoral research associate in the UWA, Australia. He joined the Hong Kong Polytechnic University (PolyU), China, as a postdoctoral fellow in 2025. His research focuses on the intelligent control of energy storage systems in renewable energy power grids, and his research interests have recently extended to intelligent manufacturing.