Events

Seminar on "Generating Graphs via Spectral Diffusion" by Prof. Andrea Torsello

Date: 2 May 2025, Friday Time: 12:00pm - 1:00pm Venue: CD634,  The Hong Kong Polytechnic University Speaker: Prof. Andrea Torsello, Ca' Foscari University of Venice Contact person: Prof. ROSSI Luca (luca.rossi@polyu.edu.hk)

Seminar on "Sensing of Molecules with Nano-scale Structures: Plasmon Resonance and Nanopores" by Prof Aaron H.P. HO

Date: 28 April 2025, Monday Time: 4:30pm Venue: BC303, PolyU Speaker: Prof Aaron H.P. HO, The Chinese University of Hong Kong   Seminar on “Sensing of Molecules with Nano-scale Structures: Plasmon Resonance and Nanopores” conducted by Prof Aaron H.P. HO.

Seminar on "Transient Stability of Grid-Connected Converters: Effects of Synchronization Control, Output Regulation, and Converter Interaction" by Mr Charles Liu

Date: 25 April 2025, Friday Time: 4:30 pm Venue: Room FYW-3316, City University of Hong Kong Zoom Meeting ID: 899 0158 1173 Password: 123456 Speaker: Mr Charles Liu, City University of Hong Kong   Transient Stability of Grid-Connected Converters: Effects of Synchronization Control, Output Regulation, and Converter Interaction Mr Charles Liu, City University of Hong Kong   Abstract: In the past decades, power electronics converters have been increasingly integrated into power grids. Generally, grid-connected converters exhibit nonlinear dynamics, thus inevitably resulting in the risk of transient instability. This talk will discuss the effects of the nonlinear behavior of grid-connected converters on their transient stability. Specifically, the talk focuses on dynamics in three scales: synchronization control, output regulation, and converter interaction. The conventional methods of power electronics address these dynamics in a separate and linear way. However, such a standard approach becomes invalid for the problem of transient stability. The talk will employ nonlinear methods to explain the mechanisms behind the rich oscillation phenomena of grid-connected converters. Moreover, the analysis is design-oriented and consequently, yields practical design guidance for enhancing transient stability.   Speaker’s Bio:Chao Charles Liu is currently pursuing the Ph.D. degree in the Department of Electrical Engineering, City University of Hong Kong, Hong Kong. He received the B.S. and M.S. degrees in electrical engineering from Wuhan University, Wuhan, China, in 2018 and 2021, respectively. His research interests include transient stability of grid-connected converters, applications of nonlinear dynamics, and smart meter data analytics.   WEBINAR WEBSITE: https://www.ee.cityu.edu.hk/~cccn/webinar/

PolyU x NuttyShell Cybersecurity CTF 2025

Competition Info 19 April 2025, 8:00PM HKT - 21 April 2025, 8:00PM HKT Mode: Online (The system will operate for 48 hours continuously, and participants can access it anytime during the contest)   Contest Information https://2025.polyuctf.com/

Seminar on "Cybersecurity of Multiagent Systems: Susceptibility Against Defense and Trade-offs with Privacy Guarantees" by Mr Shiyong Zhu

Date: 11 April 2025, Friday Time: 4:30 pm Venue: Room FYW-3316, City University of Hong Kong Zoom Meeting ID: 899 0158 1173 Password: 123456 Speaker: Mr Shiyong Zhu, City University of Hong Kong Cybersecurity of Multiagent Systems: Susceptibility Against Defense and Trade-offs with Privacy Guarantees Mr Shiyong Zhu, City University of Hong Kong   Abstract: Abstract: Cybersecurity has in recent years emerged as a paramount concern in the design and operation of industrial systems and civil infrastructures, due mainly to their susceptibility to malicious cyber-attacks which take advantage of the vulnerability of communication networks and IT devices. This seminar will present several control-theoretic perspectives on the cybersecurity of multiagent systems, with particular emphasis on the system susceptibility against defenders, and tradeoffs between security and privacy. The analytical results provide several theoretically grounded yet practical indicators for both attackers and defenders to weigh the pros and cons subject to, e.g., agent dynamics, strongly controllable subspaces, weakly observable subspaces, network topologies, and privacy levels.   Speaker’s Bio: Shiyong Zhu is currently pursuing the Ph.D. degree with the Department of Electrical Engineering, City University of Hong Kong, Hong Kong. His current research interests are cybersecurity and privacy of cyber-physical systems, and explicit computation for the minimal control nodes over networks. From the PhD study, he has held the visiting student positions with Princeton University, USA, Lund University, Sweden, and the Tokyo Institute of Technology, Japan. Mr. Zhu is a recipient of Outstanding Thesis Award from the International Consortium of Chinese Mathematicians (ICCM), the Chinese Association of Automation (CAA), and Jiangsu Province, China. He is also an invited Reviewer of the Mathematical Reviews of the American Mathematical Society.   WEBINAR WEBSITE: https://www.ee.cityu.edu.hk/~cccn/webinar/

Seminar on "Impedance-Based Approach for Stability Analysis in Inverter-Dominated Power Systems" by Dr Bei Sun

Date: 28 March 2025, Friday Time: 4:30 pm Venue: Y5-305, City University of Hong Kong Zoom Meeting ID: 899 0158 1173 Password: 123456 Speaker: Dr Bei Sun, City University of Hong Kong   Impedance-Based Approach for Stability Analysis in Inverter-Dominated Power Systems Dr Yue Zhu, City University of Hong Kong   Abstract: The high and growing penetration of inverter-based resources (IBR) in modern power systems has brought challenges to system stability, especially to small-signal stability reflected by the concerning oscillations. This seminar will discuss the impedance-based approach for oscillation root-cause tracing, tuning, and early warning. The new approach establishes the relationship between the impedance model and the conventional state-space model and opens up the path of using black-box impedance model to extract useful insights similar to those obtained from the white-box model. New technologies, such as using a single perturbation to restore the whole-system impedance model based on a hybrid data/model-driven method will also be introduced.   Speaker’s Bio: Dr. Yue Zhu is an Assistant Professor in the Department of Electrical Engineering, City University of Hong Kong (CityUHK). Prior to joining CityUHK, He was a Postdoctoral Research Associate in Department of Electrical and Electronic Engineering, Imperial College London. He received his B.Eng. and M.Sc. degrees from Zhejiang University and his PhD degree from Imperial College London. His research focuses on stability, dynamics, and control of large-scale inverter-dominated power systems, addressing critical challenges including system oscillations, data-driven impedance identification, and system strength assessment for connections of new inverter-based resources.   WEBINAR WEBSITE: https://www.ee.cityu.edu.hk/~cccn/webinar/

Seminar on "Population Dynamics of Frog Species under Seasonal Factors and Disease Transmission" by Dr Bei Sun

Date: 21 March 2025, Friday Time: 4:30 pm Venue: Y5-305, City University of Hong Kong Zoom Meeting ID: 899 0158 1173 Password: 123456 Speaker: Dr Bei Sun, Hong Kong Polytechnic University Population Dynamics of Frog Species under Seasonal Factors and Disease Transmission Dr Bei Sun, Hong Kong Polytechnic University   Abstract:Frog populations play a vital role in ecosystems, and their decline can significantly impact biodiversity and ecosystem stability. Their growth and reproduction are heavily influenced by seasonal climates and suitable ecological conditions. My research reviews stage-structured single-species population models, utilizing integral forms and partial differential equations under gamma and Dirac distributions. Guided by biological insights, I develop models that incorporate seasonal succession, competition, pathogen transmission, and mating behaviors. Using theories of monotone dynamical systems, global attractors, persistence, coexistence states, and basic reproduction numbers, I analyze key properties and global dynamics. Numerical simulations validate theoretical findings, assess parameter sensitivity, and evaluate factors influencing population dynamics.   Speaker’s Bio:Dr. Bei Sun received her Ph.D. in Applied Mathematics from the Hong Kong Polytechnic University in February 2025, following a master’s degree in applied Statistics from Northeastern University in 2021. With an interdisciplinary background in mathematics and statistics, her research focuses on applied dynamical systems, differential equations, mathematical epidemiology, and theoretical biology. She has published five papers in reputable international journals, including Mathematical Biosciences, Journal of Mathematical Biology, and Journal of Biological Systems.   WEBINAR WEBSITE: https://www.ee.cityu.edu.hk/~cccn/webinar/

Seminar on "Intelligent Reflecting Surface-Based Localization of Mixed Near-Field and Far-Field Targets" by Dr Weifeng Zhu

Date: 14 March 2025, Friday Time: 4:30pm Venue: Webinar Only Zoom Meeting ID: 815 2944 9313 Password: 123456 Speaker: Dr Weifeng Zhu, Hong Kong Polytechnic University   Intelligent Reflecting Surface-Based Localization of Mixed Near-Field and Far-Field Targets Dr Weifeng Zhu, Hong Kong Polytechnic University   Abstract: Integrated sensing and communication (ISAC) is considered as one of the key usage scenarios in sixth-generation (6G) cellular systems, where localization is considered to be one of the most crucial functionalities. In 6G ISAC systems, base stations (BSs) are expected to be the primary anchors to perform localization. However, line-of-sight (LOS) paths between BSs and targets can be blocked by a variety of obstacles, challenging existing BS-centric localization algorithms. In this webinar, we consider the possibility of employing an intelligent reflecting surface (IRS) to localize the mixed near-field and far-field targets that are in the non-line-of-sight (NLOS) region of the BS. Moreover, a novel three-phase protocol is presented to localize targets by extracting their position-related information from the received signals, and the theoretical analysis is also provided to verify the effectiveness of the proposed scheme.   Speaker’s Bio: Weifeng Zhu received the B.S. degree in communication engineering from Tianjin University in 2017, and the Ph.D. degree in information and communication engineering from Shanghai Jiao Tong University in 2023, respectively. From 2023, he is a Postdoctoral Fellow in The Hong Kong Polytechnic University. His research interests include statistical signal processing, machine learning, massive random access, and integrated communication-computing-sensing.   WEBINAR WEBSITE: https://www.ee.cityu.edu.hk/~cccn/webinar/

Women in Electrical and Electronic Engineering (WiEEE) Gathering on International Women’s Day

The Women in Electrical and Electronic Engineering (WiEEE) Gathering was organized by the WiEEE Committee in the Undergraduate Teaching Laboratory on 8 March 2025. The event gathered more than 50 female undergraduate and postgraduate students, academic staff and alumni to celebrate the International Women’s Day. The participants were welcomed by Prof. C.Y. Chung, Head of the EEE Department. Ms Ziwen Pan, BEng Scheme in Electrical Engineering student and President of the WiEEE Committee, and Mr Karlen Shek, EEE alumnus and IET member, delivered speeches to share the vision of WiEEE and to encourage the students to develop their career in engineering. An interactive competition was also organized in the gathering, fostering a supportive network of growth and empowerment.

Seminar on "Online AI Control and Monitoring in Power Electronics" by Dr Tianhao (Steward) Qie

Date: 7 March 2025, Friday Time: 4:30 pm Venue: Y5-305, City University of Hong Kong Zoom Meeting ID: 899 0158 1173 Password: 123456 Speaker: Dr Tianhao (Steward) Qie, City University of Hong Kong Online AI Control and Monitoring in Power Electronics Dr Tianhao (Steward) Qie, City University of Hong Kong   Abstract:The integration of Artificial Intelligence (AI) into power electronics (PE) is revolutionizing control and monitoring systems, particularly for renewable energy systems (RES) and microgrids. Traditional control methods, such as PID and model predictive control, struggle with parameter robustness and computational demands. AI-based approaches, including Reinforcement Learning (RL) and Integral Reinforcement Learning (IRL), offer enhanced disturbance rejection, model-free operation, and adaptive control, making them ideal for dynamic and unpredictable environments. Through case studies on DC-DC converters, inverters, and wind turbine systems, AI-based controllers demonstrate superior performance in dynamic response and robustness compared to conventional methods. The seminar also introduces AI 2.0, which eliminates the need for initial stabilizing gains and ensures faster convergence, and AI 3.0, focusing on ultra-low-cost monitoring systems with minimal computational resources. Looking ahead, AI 4.0 envisions AI-aided control and monitoring for next-generation power converters.   Speaker’s Bio: Tianhao Qie received the B.E. degree in automation from Southwest University, China, in 2020. He received the M.E. degree from The University of Western Australia (UWA), Australia, in 2021 and PhD degree from The University of Western Australia (UWA), Australia, in 2024. Currently, he is a Senior RA in City University of Hong Kong, specializing in Electrical and Electronics. His research interests are AI, advanced control algorithms, power electronics converters and microgrids.   WEBINAR WEBSITE: https://www.ee.cityu.edu.hk/~cccn/webinar/