Events

Seminar on "Challenges Posed by the Oversupply of Inverter-Based Resources and Hybrid AC/DC Transmission in the Brazilian Interconnected Power System" by Prof. Glauco Taranto

Date: 22 January 2026, Thursday Time: 11:30 am Venue: FJ303,  The Hong Kong Polytechnic University Speaker: Prof. Glauco Taranto

EEE Career Talks - 2025/26 academic year

A series of EEE Career Talks were organized from October to mid-November 2025 during the 2025/26 academic year, providing an invaluable platform for students to explore future career paths. Building on the overwhelmingly positive feedback from previous years, the talks featured enthusiastic employers from leading organizations. They shared valuable insights into their companys’ backgrounds, available job opportunities, and graduate trainee or internship programs, along with potential progression path. The sessions were valuable for both final-year students and year-3 students seeking internship opportunities. We were grateful for the participation of the following organizations: Airport Authority Hong Kong CLP Holdings Limited Electrical and Mechanical Services Department HK Electric Co., Ltd. Jardine Engineering Corporation The event received excellent engagement from our students, who gained advice on job applications, recruitment processes and timelines, as well as critical industry knowledge and networking opportunities. We extend our sincere thanks to all participating organizations and look forward to building on this success in the future.

Seminar on "New Frontiers in One-Bit Signal Processing: From Sample Abundance to Efficient Intelligence at Scale" by Prof. Mojtaba Soltanalian

Date: 8 January 2026, Thursday Time: 2:00 pm Venue: DE306,  The Hong Kong Polytechnic University Speaker: Prof. Mojtaba Soltanalian

Seminar on "Active Management and Control of Lithium-Ion Power Batteries Concepts and Recent Progress" by Prof. Rui Xiong

Date: 6 January 2026, Tuesday Time: 2:00 pm Venue: EF402a,  The Hong Kong Polytechnic University Speaker: Prof. Rui Xiong

Seminar on "Minimal Stability-Recovery in Perturbed Markov Chains" by Dr Lin Lin

Date: 5 December 2025, Friday Time: 4:30 PM Venue: FYW-3316, City University of Hong Kong Zoom Meeting ID: 859 8869 4437 Password: 123456 Speaker: Dr Lin Lin, The University of Hong Kong Abstract: In this seminar, we will discuss stability-analysis and minimal-recovery problems for perturbed Markov chains, which serve as a fundamental model for autonomous systems operating under stochastic uncertainty and functional perturbations. To tackle the challenges of robustness assurance and resilience quantification, a computational framework is presented that establishes stability criteria through the spatial relation of reachable and invariant sets, introduces a robustness indicator to identify system-critical transitions, and synthesizes minimal recovery strategies to ensure system resilience. The theoretical results are demonstrated through two applications: an ultrasound navigation system that ensures reliable anatomical landmark identification, and a robotic soft tissue surgery plan that guarantees success against anatomical uncertainties.   Speaker’s Bio: Dr Lin Lin is currently a Post-Doc Fellow at The University of Hong Kong and the Multi-Scale Medical Robotics Center, Hong Kong. Prior to that, she was a Post-Doc Fellow in the Department of Electrical Engineering at City University of Hong Kong. She received her Ph.D. degree in Mechanical Engineering from The University of Hong Kong in April 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, logical networks, and reinforcement learning. Dr. Lin was a recipient of the Hong Kong Young Scientist Award (Honorable mention), IETI PhD Fellowship Award, the Outstanding Engineering Thesis Award from HKU, and Outstanding Master Degree Thesis Award from Chinese Institute of Electronics.   WEBINAR WEBSITE: https://www.ee.cityu.edu.hk/~cccn/ https://www.ee.cityu.edu.hk/~cccn/centre-seminars.htm

Seminar on "Modeling LLMs as Complex Systems: Recent Advances" by Dr Hao Liao

Date: 28 November 2025, Friday Time: 4:30 PM Venue: FYW-3316, City University of Hong Kong Zoom Meeting ID: 859 8869 4437 Password: 123456 Speaker: Dr Hao Liao, Shenzhen University Abstract: This report details key technologies for building next-generation LLM complex agents, focusing on three core capabilities: memory, goals, and character. We will present recent our works: 1) a pre-trained context compressor that enables long-term memory by overcoming context length constraints; 2) a hierarchical reward method for large codebases that guides agents in complex tasks like fault localization; and 3) R-CHAR, a meta-cognitive role-playing framework for generating consistent and believable character behaviors. Together, these works provide a foundation for more powerful and autonomous AI agents.   Speaker’s Bio: Dr. Hao Liao is a Tenured Associate Professor at Shenzhen University, holding a PhD from the University of Fribourg, Switzerland (2015). His research focuses on information mining, complex systems, information diffusion, and LLMs. He has led multiple NSFC grants and industry projects with companies like Microsoft and Tencent, and holds over 60 patents. He has published works in top journals and conferences, and has received accolades such as the CCF-Tencent Rhino Bird Award and the Guangdong Provincial Young Top-Talent.   WEBINAR WEBSITE: https://www.ee.cityu.edu.hk/~cccn/ https://www.ee.cityu.edu.hk/~cccn/centre-seminars.htm

Seminar on "Optimal Control of Hydrogen Fuel Cells" by Dr Yulin Liu

Date: 14 November 2025, Friday Time: 4:30 PM Venue: FYW-3316, City University of Hong Kong Zoom Meeting ID: 859 8869 4437 Password: 123456 Speaker: 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.     WEBINAR WEBSITE: https://www.ee.cityu.edu.hk/~cccn/ https://www.ee.cityu.edu.hk/~cccn/centre-seminars.htm

Seminar on "Automatic Rank Determination for Low-Rank Adaptation via Submodular Function Maximization" by Dr GAO Yihang

Date: 4 November 2025, Tuesday Time: 4:00 pm Venue: FJ303,  The Hong Kong Polytechnic University Speaker: Dr GAO Yihang

Seminar on "Distributed Decision-Making and Control Integration Design for Heterogeneous Networked Systems" by Dr Chengxin Xian

Date: 7 November 2025, Friday Time: 4:30 PM Venue: FYW-3316, City University of Hong Kong Zoom Meeting ID: 859 8869 4437 Password: 123456 Speaker: Dr Chengxin Xian, The Hong Kong Polytechnic University Abstract: In recent years, with the vigorous development of swarm intelligence in agriculture, industry, economy and other fields, the cooperative decision-making and control problem of large-scale intelligent, autonomous, and multi-functional swarm unmanned systems has received extensive attention. Among them, heterogeneous networked systems are more conducive to the implementation of cluster collaborative tasks due to their stronger task adaptability, higher system robustness, and higher resource utilization. This report mainly focuses on two kinds of decision-making and control problems, cooperative optimization and non-cooperative game control in heterogeneous networked systems, and constructs a decision-making and control integrated architecture. Based on output regulation theory, event-triggered control techniques and dynamic gain regulation methods, the decision-making and control scheme of cooperative optimization and non-cooperative game for heterogeneous networked systems is given. It achieves a fully closed loop, high robustness, and strong real-time control pattern. Finally, we discuss the prospects of integrating cooperative optimization and non-cooperative game problems with artificial intelligence techniques such as reinforcement learning and data-driven methods.   Speaker’s Bio: Chengxin Xian received the B.Eng. degree in Transportation Equipment and Control Engineering and Ph.D. degree in Control Science and Engineering from the School of Automation, Northwestern Polytechnical University, Xi’an, China in 2019 and 2024, respectively. Currently, he is a Post-doctoral Fellow in the Department of Applied Mathematics, The Hong Kong Polytechnic University. Prior to this, he was a Post-doctoral Fellow in the Department of Electrical Engineering, City University of Hong Kong. His research interests include cooperative control and optimization of clustered unmanned systems and their applications to multi-robot systems. Dr. Xian was the recipient of the Best Paper Awards of IFAC LSS in 2022, and IEEE ICUS in 2025.   WEBINAR WEBSITE: https://www.ee.cityu.edu.hk/~cccn/ https://www.ee.cityu.edu.hk/~cccn/centre-seminars.htm

Teach Your Mates - Exchange Experience Sharing Session

To help demystify the exchange experience, EEE recently hosted an Exchange Experience Sharing Session for Year 1 and Year 2 undergraduates. The event, held on 7 November 2025, provided a valuable platform for prospective exchange students to address their concerns directly with peers who have successfully navigated life abroad. The session featured candid conversations with two upper-year students: LIU Xinyan (BSc in Artificial Intelligence & Information Engineering) and KWAN Ho Tin (BEng in Electrical Engineering), alongside insights from GEO Staff. They shared firsthand accounts of adapting to new academic systems and overcoming language barriers. Practical advice on accommodation, budgeting, and embracing cultural differences was also a key focus of the discussion. The event successfully achieved its goal of easing anxieties and equipping students with realistic expectations and actionable tips for their future exchange planning. The Department extends its sincere thanks to the speakers for their insightful contributions and to all the students who participated.   Event Video