Yu Wang, Ph.D.
Professor, Chongqing University
School of Electrical Engineering, The State Key Laboratory of Power Transmission Equipment & System Security and New Technology
Address: No.174 Shazheng St., Shapingba District, Chongqing, China, 400044.
Email: wangyulz(at)hotmail.com; yu_wang(at)cqu.edu.cn
About Me
I am a professor at Chongqing University, with the School of Electrical Engineering, and the State Key Laboratory of Power Transmission Equipment & System Security and New Technology. Before joining CQU, I was a Marie Curie Individual Fellow at Control and Power (CAP) Research Group, Imperial College London, United Kingdom. I also worked as a research scientist at the Rolls Royce@NTU Corporate Lab at Nanyang Technological University, Singapore. I received my Ph.D. degree from Nanyang Technological University in Singapore and my Bachelor's degree from Wuhan University in China. I was the recipient of the Distinguished Young Scholars of the National Natural Science Foundation of China 2021 and the European Commission Marie Skłodowska-Curie Actions Postdoctoral Fellowship 2020.
I have published 70 peer-reviewed papers in quality journals and conferences, including 30+ IEEE Transactions. I have led and participated in projects of microgrids, power systems, and energy storage systems from Singapore, UK, and China. I serve as associate editor of IET Generation, Transmission&Distribution, IET Renewable Power Generation. Besides, I work as the Technical Committee Secretary of IEEE PES Task Force on Cloud-Based Control and Co-Simulation of Multi-Party Resources and IEEE PES Task Force on Networked Microgrid in Energy Internet. I am also serving as the peer reviewer for journals and conferences in power and energy area of IEEE, IET and Elsevier.
We are recruiting! If you are interested in positions of 'Hongshen' fellowship, PhD, MSc, MEng, research associate/assistant. Please contact me with your CV and representative work.
Research Interests
Networked Microgrids
Distributed Power and Energy Systems
Cyber-Physical Systems
Artificial Intelligence in Smart Grid