Events

Research seminar on “Machine Unlearning in the LLM Era” conducted by Dr Eli Chien, Assistant Professor at National Taiwan University

Date: 24 April 2026 (Friday) Time: 15:00 – 16:00 Venue: CD301, The Hong Kong Polytechnic University Contact person: Dr DU Minxin (minxin.du@polyu.edu.hk)

Seminar on "Sensor Array Signal Processing (SASP): Representative Research Developments and Future Directions" by Prof. Wei Liu, Hong Kong Polytechnic University

You are cordially invited to join our next seminar in online mode on March 27, Friday, 4:30pm (Hong Kong Time).   Zoom Meeting ID:    270 294 7238 Password:                123456   Sensor Array Signal Processing (SASP): Representative Research Developments and Future Directions Prof. Wei Liu, Hong Kong Polytechnic University Abstract: In this talk, a review of the advances made in the past twenty-five years in sensor array signal processing (SASP) is first presented. As it is not possible to give an exhaustive list for all of them, we will focus on five major topics and introduce the corresponding progresses made in tackling their respective technical challenges:  beamforming (including robust adaptive beamforming and frequency invariant beamforming), direction of arrival (DOA) estimation (including sparsity based and underdetermined DOA estimation), sensor location optimization, target/source localization based on sensor arrays, and multiple-input-multiple-output (MIMO) arrays (including MIMO radar and MIMO for wireless communications). The first two are classic SASP topics from the very beginning, while the latter three were only studied systematically in the past decades. Then, six new developments in the SAM area are introduced to give an indication about possible future research directions, including tensor based SASP, quaternion-valued SASP, one-bit and non-coherent SASP, autonomous sensing based on moving arrays, machine learning and artificial intelligence for SASP, and SASP for next-generation communication systems. Speaker’s Bio: Wei Liu received his BSc and LLB degrees from Peking University, China, in 1996 and 1997, respectively, MPhil from the Department of Electrical and Electronic Engineering, University of Hong Kong in 2001, and PhD from the School of Electronics and Computer Science, University of Southampton, UK, in 2003. He then worked as a postdoc first at Southampton and later at Imperial College London. From 2005 to 2023, he was a Lecturer/Senior Lecturer at the Department of Electronic and Electrical Engineering, University of Sheffield, UK and from 2023 to 2024, a Reader at the School of Electronic Engineering and Computer Science, Queen Mary University of London (Visiting Professor from 2024). Since 2024, he has been a Professor at the Department of Electrical and Electronic Engineering, Hong Kong Polytechnic University. He has published 500+ journal and conference papers, six book chapters, and two research monographs titled "Wideband Beamforming: Concepts and Techniques" (Wiley, 2010) and "Low-Cost Smart Antennas" (Wiley, 2019), respectively. His research interests are mainly focused on sensor array and multichannel signal processing and its various applications, such as robotics and autonomous systems, human computer interface, radar, sonar, and wireless communications. He is a member of the Applied Signal Processing Systems Technical Committee (Chair for 2026-2027) of the IEEE Signal Processing Society (SPS), the Digital Signal Processing Technical Committee (Chair for 2022-2024) of the IEEE Circuits and Systems Society, and the IEEE SPS Education Board (2024-2026, Chair of its Educational Conference Program Committee), and a former member of the Sensor Array and Multichannel Signal Processing Technical Committee of the IEEE SPS (Chair for 2021-2022), the IEEE SPS Technical Directions Board (2021-2022, 2026-2027), and the IEEE SPS Conference Board and its Executive Subcommittee (2022-2023). He also acted as an associate editor for IEEE Trans. on Signal Processing, IEEE Access, and Journal of the Franklin Institute, and an Executive Associate Editor-in-Chief of the journal Frontiers of Information Technology and Electronic Engineering; currently he is an associate editor for IEEE Transactions on Circuits and Systems I: Regular Papers and IEEE Antennas and Wireless Propagation Letters. He is an IEEE Distinguished Lecturer for the Aerospace and Electronic Systems Society (2023-2026).   WEBINAR WEBSITE: https://www.ee.cityu.edu.hk/~cccn/ https://www.ee.cityu.edu.hk/~cccn/centre-seminars.htm

Seminar on "A Deployment-Aware Methodology for CSI-Based Wi-Fi Sensing under Limited Labeled Data" by Miss He Wang, Hong Kong Polytechnic University

Date: 20 March 2026, Friday Time: 4:30 pm You are cordially invited to join our next seminar in online mode on March 20, Friday, 4:30pm (Hong Kong Time) Zoom Meeting ID: 383 735 6917 Password: 270831 Speaker: Miss He Wang, Hong Kong Polytechnic University Abstract: CSI-based Wi-Fi sensing enables device-free indoor perception, yet its robustness is fundamentally constrained by the quality of the collected CSI under deployment uncertainty and limited labeled data. This seminar presents a deployment-aware methodology that (i) models wall-reflected dynamic paths to explain how wall proximity can enhance or degrade sensing, (ii) develops a model-guided multi-sensor deployment framework to compare candidate topologies for stationary crowd counting, and (iii) leverages unlabeled CSI via semi-supervised learning and domain adaptation to improve generalization.  Extensive experiments across real-world scenarios validate that robust Wi-Fi sensing requires principled deployment design together with effective utilization of unlabeled data. Speaker’s Bio: He Wang received the B.Eng. degree in Internet of Things Engineering from Beijing University of Technology, China, in 2020, and the M.Sc. degree in Electrical and Electronic Engineering from Imperial College London, London, U.K., in 2021. She is currently pursuing a Ph.D. degree in the Department of Electrical and Electronic Engineering at The Hong Kong Polytechnic University, Hong Kong. Her research interests include wireless sensing, multi-sensor fusion, machine learning, and wireless communications and networking.   WEBINAR WEBSITE: https://www.ee.cityu.edu.hk/~cccn/ https://www.ee.cityu.edu.hk/~cccn/centre-seminars.htm

Seminar on "Coupling and Clustering of Grid-Forming and Grid-Following Converters in Islanded Microgrids" by Dr Jingxi Yang

Date: 13 March 2026, Friday Time: 4:30 pm Venue: Room FYW-3316, City University of Hong Kong Zoom Meeting ID: 859 8869 4437 Password: 123456 Speaker: Dr Jingxi Yang, City University of Hong Kong Abstract: In an islanded microgrid containing a number of grid-forming and grid-following converters (GFMCs and GFLCs), the GFMCs splits into at least two internally synchro- nized clusters under a sufficiently large transient disturbance, and the GFLCs interact with these clusters to manifest diversified behaviors, e.g., being absorbed into one of the aforementioned clusters, or temporarily joining one of the clusters, or forming a new cluster alone. Such behaviors are dependent on the GFLCs’ injected reactive power, network structure and edge weights. These factors can be adjusted to absorb more GFLCs into the dominant cluster of the microgrid. These findings are verified by a modified IEEE 39-bus power grid. Speaker’s Bio: Jingxi Yang (Member, IEEE) received the B.S. and Ph.D. degrees in electrical engineering from Beijing Jiaotong University, Beijing, China, in 2014 and 2020, respectively. He is currently a Research Fellow with the Department of Electrical Engineering, City University of Hong Kong, Hong Kong. His research interests include the complex nonlinear behavior and stability of grid-connected power electronic converter systems. He was the recipient of the Outstanding Reviewer Award of the IEEE Transactions on Power Electronics in 2021 and 2024, and the Excellent Reviewer Award of the Journal of Modern Power Systems and Clean Energy in 2022. He is a member of the IEEE Power and Energy Circuits and Systems Technical Committee.   WEBINAR WEBSITE: https://www.ee.cityu.edu.hk/~cccn/ https://www.ee.cityu.edu.hk/~cccn/centre-seminars.htm  

Seminar on "Spatio-Temporal Power Flow Forecasting for Cascading Failure Mitigation" by Dr Biwei Li

Date: 6 March 2026, Friday Time: 04:30 PM Venue: FYW-3316, Fong Yun Wah Building, City University of Hong Kong Zoom Meeting ID: 859 8869 4437 Password: 123456 Speaker: Dr Biwei Li, City University of Hong Kong Abstract: Accurate power flow forecasting is crucial for enabling timely interventions to prevent cascading failure events from escalating into large-scale outages. This talk presents a spatio-temporal learning model specifically designed for forecasting power flow redistribution during cascading failure events. The model combines a Transformer-based temporal encoder with a Graph Transformer network to jointly capture the temporal evolution and spatial dependencies within the grid, thereby enhancing robustness under rapidly changing operating conditions. The proposed model is evaluated on the IEEE 118-bus system and compared against several state-of-the-art baselines, demonstrating superior accuracy across short- and long-term forecasting. By accurately forecasting abrupt flow surges across branches, the model supports early identification of vulnerable components and high-risk regions over time. Finally, we introduce a mitigation strategy informed by the power flow forecasting model. Leveraging long-horizon forecasts, the proposed mitigation strategy effectively reduces large outages and circumvents intervention-induced failure. Speaker’s Bio: Biwei Li is currently a research assistant at the City University of Hong Kong, Hong Kong. She received the B.Eng. degree in mechanical engineering from China University of Geosciences, Wuhan, China, in 2015, the M.Eng. degree in control science and engineering from Beihang University, Beijing, China, in 2018, and the Ph.D. degree in electrical engineering from City University of Hong Kong, Hong Kong, in 2026. Her research interests include complex networks, deep learning applications, and robust analysis of power networks. WEBINAR WEBSITE: https://www.ee.cityu.edu.hk/~cccn/ https://www.ee.cityu.edu.hk/~cccn/centre-seminars.htm

Seminar on "MIMO OTA MEASUREMENT" by Prof. QI Yihong

Date: 3 March 2026, Tuesday Time: 03:00 PM Venue: CD634, Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University of Hong Kong Speaker: Prof. QI Yihong , Canadian Academy of Engineering

Seminar on "Homogeneity-Based Design of High-Order Sliding Mode Observers for MEMS Resonators" by Prof. Alexander Triana

Date: 27 February 2026, Friday Time: 04:30 PM Venue: FYW-3316, Fong Yun Wah Building, City University of Hong Kong Zoom Meeting ID: 859 8869 4437 Password: 123456 Speaker: Prof. Alexander Triana, Universidad Distrital Francisco José de Caldas, Bogotá, Colombia Homogeneity-Based Design of High-Order Sliding Mode Observers for MEMS Resonators Prof. Alexander Triana, Universidad Distrital Francisco José de Caldas, Bogotá, Colombia Abstract: This talk presents a robust observer-design framework for MEMS resonators based on high-order sliding modes (HOSM), emphasizing homogeneity as the central tool for both analysis and synthesis. The motivation arises from the well-known limitations of classical first-order sliding mode methods, which, despite their robustness, suffer from chattering, sensitivity to measurement noise, and relative-degree restrictions. The main contribution of the talk is to show how homogeneity provides a unifying framework for HOSM observer design by linking classical, weighted, and geometric homogeneity with finite-time stability analysis of discontinuous systems through homogeneous vector fields and their Filippov regularizations. This perspective is further connected to finite-time and fixed-time stability, as well as robustness properties of ISS/iISS type, highlighting why homogeneity is especially effective for observer synthesis in nonlinear uncertain systems. Overall, the talk argues that homogeneity is not only a theoretical concept, but a practical design principle for constructing finite-time, robust, and implementable observers for MEMS resonator applications. Speaker’s Bio: Alexander Jiménez Triana is a Professor and Researcher with more than twenty years of academic and scientific experience in nonlinear systems and robust control, with a strong emphasis on sliding mode control and active disturbance rejection control. He holds Ph.D. degrees in Electrical Engineering from École Polytechnique de Montréal (Canada) and Universidad de los Andes (Colombia), and he is currently a full-time professor at Universidad Distrital Francisco José de Caldas. He has also held international positions, including a Research Fellow appointment at City University of Hong Kong and an invited professorship at École Polytechnique de Montréal. His work includes peer-reviewed publications, international conference participation, and leadership of research projects in robust control and related engineering applications.   WEBINAR WEBSITE: https://www.ee.cityu.edu.hk/~cccn/ https://www.ee.cityu.edu.hk/~cccn/centre-seminars.htm

Lunar New Year Departmental Lunch Gathering

On 26 February 2026, our Department celebrated the Lunar New Year with a joyful luncheon that brought together Departmental Staff, members from the Departmental Advisory Committee, Outstanding Alumni, and Head’s List Students. The gathering created a lively space for connection and networking, fostering meaningful exchanges across different generations of the EEE community. It was a wonderful opportunity to strengthen bonds and share experiences, which also captured the cultural spirit of the Chinese New Year — a time to come together, share joy, and embrace unity.”

EEE Research Postgraduate Student Orientation

The Department held its RPg Orientation on 6 February 2026, welcoming 14 newly admitted research postgraduate students for Semester 2, 2025/26. The orientation provided an introduction to departmental support and study milestones, with insights shared by Prof. Jovica V. Milanović (Departmental Academic Advisor), Prof. C.Y. Chung (Head of Department), Prof. L.P. Chau (Chair of the Departmental Research Committee), and Prof. Kenneth Lam (Director of Research Postgraduate Studies).

Seminar on "Graph Learning for Network Robustness: Analysis and Optimization" by Dr Yang Lou

Date: 6 February 2026, Friday Time: 04:30 PM Venue: FYW-3316, Fong Yun Wah Building, City University of Hong Kong Zoom Meeting ID: 859 8869 4437 Password: 123456 Speaker: Dr Yang Lou, Hiroshima University, Japan  Graph Learning for Network Robustness: Analysis and Optimization Dr Yang Lou, Hiroshima University, Japan  Abstract: Maintaining and restoring network functionality under structural disturbances or malicious attacks represents a core challenge in network science and graph learning. This capability, known as network robustness, is critical for systems such as transportation, power grids, and biological networks, where failures can lead to severe consequences. Research in this area focuses on developing robustness metrics, performing vulnerability analysis, and designing optimization strategies to enhance resilience. Graph learning plays a pivotal role by enabling data-driven approaches that complement analytical and statistical methods. This talk presents our recent state-of-the-art advances in measuring, analyzing, and optimizing network robustness through graph-based techniques, demonstrating their effectiveness in improving reliability and adaptability in complex systems. Speaker’s Bio: Dr. Yang Lou is currently an Associate Professor at the Graduate School of Advanced Science and Engineering, Hiroshima University, Japan. He received his B.E. degree in Electronic and Information Engineering from Xidian University, China, in 2008, and his Ph.D. degree from the Department of Electrical Engineering, City University of Hong Kong, Hong Kong SAR China, in 2017. From 2017 to 2025, he held research and academic positions at City University of Hong Kong, Lingnan University, The University of Osaka (Japan), and National Yang Ming Chiao Tung University (Taiwan, China). He has authored more than forty peer reviewed papers in leading IEEE magazines (CIM, CSM) and transactions (TCYB, TNNLS, TNSE, TCASI/II), as well as in international conferences such as ICLR, GECCO, and IJCNN. His h-index is 21 according to Google Scholar. He is a Senior Member of the IEEE and a Fellow of the Higher Education Academy. His research interests include network science, graph learning, and optimization.   WEBINAR WEBSITE: https://www.ee.cityu.edu.hk/~cccn/ https://www.ee.cityu.edu.hk/~cccn/centre-seminars.htm