Skip to main content Start main content

Academic and Teaching Staff

news_2050_500
Dr LIANG Zipeng

Dr LIANG Zipeng

Research Assistant Professor

PhD

Biography

Dr. Zipeng Liang is currently an Assistant Professor (Research) in the Department of Electrical and Electronic Engineering at The Hong Kong Polytechnic University. He obtained his Ph.D. from the same department in 2026, under the supervision of Prof. C.Y. Chung. Previously, he served as a Postdoctoral Fellow and Research Associate at The Hong Kong Polytechnic University, and held a research role at The Chinese University of Hong Kong-Shenzhen.

Dr. Liang's research primarily focuses on data-driven planning and operation for smart grids. He has published extensively in top-tier journals, including Engineering, IEEE Transactions on Power Systems, IEEE Transactions on Smart Grid, and IEEE Transactions on Sustainable Energy. He currently serves as an Outstanding Youth Editorial Board Member for Protection and Control of Modern Power Systems, as well as an Associate Young Editor for IET Energy Conversion and Economics and Electrical Measurement & Instrumentation. Dr. Liang has received several prestigious awards, including the PolyU Presidential Fellowship, the Outstanding Reviewer Award for IEEE Transactions on Power Systems, and Best Paper Awards at the IEEE PES International Meeting and the IEEE PES Asia-Pacific Power and Energy Engineering Conference.

In collaboration with his Ph.D. supervisor, Prof. C.Y. Chung (Head of the EEE Department, Director of RCGM, and Fellow of CAE, IEEE, CSEE, EIC, IET and HKIE), Dr. Liang is actively seeking highly motivated Ph.D. students, Research Assistants, and Postdoctoral Fellows. Interested individuals are welcome to contact Dr. Liang and Prof. C.Y. Chung via email, attaching their CV with representative publications.

We are currently looking for Ph.D. students, Research Assistants, and Postdoctoral Fellows with interests in the following areas:

 

•    AI Foundation Models and Explainable AI for Smart Grids;
•    AI-Enabled Autonomous Smart Grids and Resilience Enhancement;
•    Data-Driven Virtual Power Plants (VPP) and Distributed Energy Aggregation;
•    Non-Intrusive Load Monitoring (NILM) and Building Energy Flexibility;
•    Quantum Computing Applications in Smart Grids.

Education and Academic Qualifications
Doctor of Philosophy, The Hong Kong Polytechnic University
Master of Engineering, South China University of Technology
Bachelor of Engineering, South China University of Technology

Research Interests
Distribution Network, Energy Management, AI and Data Analytics, Renewable Energy Integration

Your browser is not the latest version. If you continue to browse our website, Some pages may not function properly.

You are recommended to upgrade to a newer version or switch to a different browser. A list of the web browsers that we support can be found here