Student Award 2025

The CityUHK Underwater Robotics Team won two awards at two underwater robotics competitions. The excellent team was awarded the Second Class Award at China International Ocean Underwater Robot Competition (CIOURC) 2025 held in Qingdao and Second Runner-up at the 20th IET/MATE Hong Kong Regional of the MATE ROV Competition.
The winning team, which is supervised by Prof Ray Cheung, Associate Provost (Digital Learning) and Professor of EE, is presented below.
Participating Team Members | ||
Department | CIOURC | MATE HK Regional of MATE ROV |
Electrical Engineering | Chan Chun Ho, Chan Lik Ho, Guo Aobo, Kong Pak Hei, Kwok Tung Yan, Lee Hon Lek, Lo Tsz Chung, MAK Nok Hin, Or Hon Lun, Poan Tsz Kiu, Sit Yan Tung, Tsang Hoi Fung |
Chan Chun Ho, Chan Lik Ho, Guo Aobo, Huang Hoi Lam, Kong Pak Hei, Kong Wai Kei, Kwok Tung Yan, Lee Hon Lek, Leung Wing Yan, Liu Yan Nok, Lo Tsz Chung, Lui Cheuk Lam, Mak Nok Hin, Or Hon Lun, Poan Tsz Kiu, Sinalubong Des Farenh Ladiao, Sit Yan Tung, Tsang Hoi Fung, Tse Ka Ho, Tso Kam To, Wu XiaoShu, Yau Ka Yee, Zou Zihao |
Architecture and Civil Engineering | Wong Tsz Hong | Chan Chit Hei Gilbert Wong Tsz Hong |
Mechanical Engineering | Jin Zichen | Chan Ho Lam, Cheung Pui Lam, Jin Zichen, Tang Ho Fung, Wong Man Ue |
Computer Science | N.A. | Deng Zichong, Hui Yeung Ting, Siu Nok Man, Swan Htet Aung, Yiu Yin Kwan |
To know more about the competitions, please check IET/MATE Hong Kong Regional of the MATE ROV Competition and CIOURC.

Mr FUNG Ho Leung (2025 graduate of ELEL) has been awarded 2025 Outstanding Power and Energy Engineering Graduate Award by the Power and Energy Section (PES) of The Institution of Engineering and Technology Hong Kong (IET).
This award aims to recognize the outstanding academic achievements of graduates in Electrical Engineering at the Bachelor's degree level, encourage students to pursue their careers in power and energy engineering, promote IET Hong Kong PES to higher education graduates, and foster active participation in IET Hong Kong PES activities. Nominee should be of exceptional academic performance, possess outstanding results in their Final Year Project (FYP), and demonstrate strong leadership and all-round capabilities through active involvement in extracurricular activities and community service. Mr Fung was FYP student of Prof Henry Chung for the project titled “Condition Monitoring Circuit for Semiconductor Switching Devices”.

Mr ZHU Zhaozheng (PhD) has won the Best Presentation Award at 2025 International Conference on Applied Electrical Engineering and Technology (AEET 2025). The award-winning paper, supervised by Prof Derrick Jiang (Associate Professor of EE), is titled “Synchronization of Bidirectional Wireless Power Transfer System: A Novel Method and Comparative Study on Compensation Topologies”.
Applied electrical engineering and technology is a dynamic and rapidly evolving field that integrates principles of electrical engineering with cutting-edge technological advancements. It plays a pivotal role in shaping industries such as renewable energy, smart grids, automation, telecommunications, and advanced manufacturing. AEET 2025 provided a platform for leading researchers, academics, and industry practitioners from around the globe to exchange ideas, showcase innovations, and address the pressing challenges of the field.

Mr WEI Zhengqi (PhD), Dr CHENG Chun Sing (PhD graduate 2022), and Mr LIU Chun For (MPhil graduate 2022) have won the Gold Medal and Best Sustainable Invention of the Year at the WorldInvent Singapore (WoSG) 2025. The winning project, supervised by Prof Henry Chung (Chair Professor) and Prof Ricky Lau (Retired EE faculty member), is titled “Efficient Energy Recycling for Energy Routing, Redistribution, and Health Monitoring of Batteries in Large-Scale Energy Storage Systems.”
WoSG is a premier platform for showcasing innovative solutions to pressing global challenges, for building synergies and collaboration between nations, and serving as a bridge to learn from other nations, fellow innovators, and professionals.

Mr HUANG Ruilin (PhD) has won the Best Student Paper Award (First Prize) at IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization for RF, Microwave, and Terahertz Applications (NEMO2025). The award-winning paper, supervised by Prof GUO Yongxin (Chair Professor of EE), is titled “A Synthesis Method for Miniaturized Multi-Band Antenna Using Via Connected Dual-Pixelated-Surface Units”. The paper proposes a novel pixel unit for internal-multi-port-based pixel antennas, introducing a new connection topology that significantly enhances design flexibility and miniaturization potential. The paper’s co-authors include Dr WANG Han, a Postdoctoral Fellow, and a collaborator from Tianjin University.
The conference, organized by the IEEE Microwave Theory and Technology Society (MTT-S), is an annual event that focuses on electromagnetic- and multiphysics-based computer-aided design (EM-CAD). This year, the conference accepted 405 papers, with 126 student papers competing for the Best Student Paper Awards.

Mr Chen Chen (PhD), Dr LIU Yue (Postdoc), Mr WANG Xiaosheng (PhD), and Mr WANG Yibo (PhD) have won the Best Paper Award at IEEE 16th International Symposium on Power Electronics for Distributed Generation Systems (PEDG 2025). The winning paper, supervised by Prof Derrick Jiang, is titled “Asymmetrical ISOP LLC Resonant Converter with Integrated Transformer for High Voltage Distribution DC Power System”.
PEDG 2025 featured a wide range of topics, theory, analysis, design, deployment and impact of power electronics for distributed generation, energy storage, and sustainable sources. Three papers were selected among about 230 papers to receive the Best Paper Awards.

Dr Ben ZHANG (Postdoc), Mr WANG Xiaosheng (PhD), Mr WANG Yibo (PhD), Mr YANG Junhui (PhD), and Mr ZHU Zhaozheng (PhD) have won the Third Prize at Student Project Design Competition at the IEEE Wireless Power Technology Conference and Expo (WPTCE) 2025 organized by IEEE Power Electronics Society. The winning project, supervised by Prof Derrick Jiang, is titled “A Magnetic Coupler with Novel Laminated Cores for 11.1 kVA High-power Inductive Power Transfer.”
WPTCE2025 is the largest event in the world for wireless power research and industry engagement, covering a wide range of topics, applications, frequencies, and power levels. The competition encourages young generations to join research and development of Wireless Power Transfer (WPT) technologies, and demonstrates WPT capabilities for promoting public acceptance and practical applications of WPT systems.

EE students have won the Second and Third Prize in the 11th Hong Kong University Student Innovation & Entrepreneurship Competition.
Award | Category | Project Title | Winner | Supervisor |
Second Prize | Mathematics and Physics/Mechanics and Control Systems | Autonomous Energy Routing and Redistribution Technology for Large-Scale Battery Storage Systems with Health Monitoring Capabilities | Mr WEI Zhengqi (PhD student) | Prof Henry Chung |
Third Prize | Information Technology | A High Performance Selenium Nanoflake Based Avalanche Photodetector | Mr LIU Handa (ELEL student) | Prof Chaoliang Tan |
The competition, organized by Hong Kong New Generation Cultural Association, aims to promote innovation and entrepreneurship among the young generation. It is a platform facilitating students to further develop their potential, sharpen their presentation and interpersonal skills and become future innovation and entrepreneurship leaders. This year, there are 1,324 entrepreneurial projects and 925 innovative projects joining the contest, competing in four groups, namely Mathematics and Physics/Mechanics and Control Systems, Information Technology, Energy, Environmental and Chemical Engineering, and Life Sciences.

The paper, co-authored by Prof Michael Tse (Chair Professor of EE), Dr Jingxi Yang (Research Fellow of EE), Miss Zhenxi Wu (PhD student), Mr Chao Liu (PhD student), and scholars from Wuhan University and Central South University, was awarded the Best Paper Award (First Place) in IEEE International Symposium on Circuits and Systems (IEEE ISCAS) 2025. The winning paper is titled “Impact of distributed secondary control on transient stability of islanded microgrids”.
The IEEE ISCAS, held annually since 1968, is the flagship conference of the IEEE Circuits and Systems Society. This year, three Best Paper Prizes were awarded, out of the over 1000 papers selected for presentation at the conference.

Prof Chaoliang Tan (Associate Professor of EE), Prof Andy Chan (Associate Professor of EE), Dr Jiajia Zha (Postdoc), Mr Haoxin Huang (PhD student), and Dr Yunpeng Xia (PhD graduate 2024), have published a paper in the top journal – Nature Communications, on 24 April 2025. The paper titled “In-sensor compressing via programmable optoelectronic sensors based on van der Waals heterostructures for intelligent machine vision” is a collaborative work with scholars coming from CHEM and MSE Department of CityUHK, The University of Hong Kong, The Chinese University of Hong Kong, The Hong Kong University of Science and Technology, The Hong Kong Polytechnic University, Southern University of Science and Technology, Shenzhen, Shenzhen University, and Shenzhen Technology University.
This Nature Communications paper can be found at https://www.nature.com/articles/s41467-025-59104-7. To give you a glimpse of the research work, here is a quote from the abstract:
Here we demonstrate a programmable two-dimensional (2D) heterostructure-based optoelectronic sensor integrating sensing, memory, and computation for in-sensor data compression. Our 2D sensor captured and memorized/encoded optical signals, leading to in-device snapshot compression of dynamic videos and three-dimensional spectral data with a compression ratio of 8:1. The reconstruction quality, indicated by a peak signal-to-noise ratio value of 15.81 dB, is comparable to the 16.21 dB achieved through software. Meanwhile, the compressed action videos (in the form of 2D images) preserve all semantic information and can be accurately classified using in-sensor convolution without decompression, achieving accuracy on par with uncompressed videos (93.18% vs 83.43%). Our 2D optoelectronic sensors promote the development of efficient intelligent vision systems at the edge.
Pagination
- 1
- 2