Academic and Teaching Staff
Dr LIANG Zipeng
Research Assistant Professor
PhD
- DE633
- +852 2766 6191
- zipeng.liang@polyu.edu.hk
Biography
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