Chair: Assoc. Prof. Zhiyuan Wang, Zhengzhou University, China
Zhiyuan Wang, Ph.D., is an Associate Professor and Master’s Supervisor at Zhengzhou University. His research focuses on artificial intelligence and optimization-based decision-making for energy systems, including deep reinforcement learning, large language model-assisted decision-making, stochastic and robust optimization, data-physics collaborative modeling, and intelligent scheduling. He has participated in the development and engineering implementation of energy management and control systems for State Grid Corporation of China, China Southern Power Grid, China State Shipbuilding Corporation Systems Engineering Research Institute, Baosteel, Maanshan Iron & Steel, Ansteel, Zhanjiang Iron & Steel, and Nanjing Iron & Steel, and has accumulated extensive research and engineering experience in complex energy system modeling, optimal scheduling, and intelligent control. His research has been published in journals including IEEE Transactions on Industrial Electronics, IEEE/CAA Journal of Automatica Sinica, Information Sciences, and Scientia Sinica Technologica. He holds three authorized invention patents and currently serves as a Young Editorial Board Member of Industrial Engineering Journal.
Co-chair: Mr. Yungui Huang, Energy Development Research Institute Co., Ltd., China Southern Power Grid, China
Yungui Huang is a Strategic-Level Senior Technical Expert and Professor-level Senior Economist at the Energy Development Research Institute Co., Ltd. of China Southern Power Grid. His research focuses primarily on transportation, energy, and electric power. He has received a Second Prize for Outstanding Research Achievement from the Research Association for Party Building and Ideological and Political Work of Central State-Owned Enterprises, as well as first- and second-prize awards for management innovation from China Southern Power Grid. He has also received an Outstanding Individual Award for Information Work from the State-owned Assets Supervision and Administration Commission of the State Council. In 2024, he authored the research report Accelerating Large-Scale Supply-Demand Interaction Between Electric Vehicles and the Power Grid to Foster New Quality Productive Forces in the Energy System at Minimum Social Cost, which received written comments from a senior leader of the State Council. He also published the first Assessment Report on the Integrated Development of Transportation and Energy in the Five Southern Provinces and Regions.
Co-chair: Dr. Xuerui Zhang, Zhengzhou University, China
Xuerui Zhang, Ph.D., is a Lecturer at the School of Computer and Artificial Intelligence, Zhengzhou University. She received her M.S. degree in Fundamental Mathematics and her Ph.D. degree in Control Theory and Control Engineering from Dalian University of Technology, and has an interdisciplinary research background in mathematics and control theory. Her research interests include deep reinforcement learning, optimization under uncertainty, and intelligent scheduling and optimization for industrial systems, with a particular focus on intelligent decision-making and optimization methods for complex real-world applications. Her research has appeared in IEEE/CAA Journal of Automatica Sinica, Control Theory & Applications, and the IEEE Congress on Evolutionary Computation (CEC), among other journals and conferences.
Co-chair: Dr. Jiaming Dou, Institute of Electrical Engineering, Chinese Academy of Sciences, China
Dr. Dou is a Postdoctoral Fellow at the Institute of Electrical Engineering, Chinese Academy of Sciences. His research interests include AI security in power systems and the application of AI in optimal dispatch and decision-making. He was selected for the first batch of the Young Talent Support Project (Doctoral Student Program) of the China Association for Science and Technology, and was also selected for the Baidu Famou AI for Science Scientist Program. He has participated in more than 30 projects, including the National Key R&D Program, the National Natural Science Foundation of China, and State Grid science and technology projects. He has published or accepted 45 papers, including 17 as first author or corresponding author, and has 11 granted or filed patents. He is an Outstanding Reviewer for the Chinese journal Automation of Electric Power Systems and a Young Editorial Board Member of the newly established journal Deep Energy.
Co-chair: Dr. Demin Xu, Institute of Electrical Engineering, Chinese Academy of Sciences, China
Dr. Demin Xu is currently a Postdoctoral Fellow/Assistant Researcher with the Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing, China. He received the Ph.D. degree from Dalian University of Technology. His research mainly focuses on cyber-physical microgrids fault detection and resilience control, security reachability analysis, and industrial energy system modeling and simulation. He has published or accepted 6 SCI/EI papers as first author, including IEEE Trans. Cybernetics, IEEE Trans. Automation Science and Engineering, IEEE Trans. Instrumentation and Measurement. He currently serves as a reviewer for several journals, including IEEE Trans. Industrial Cyber-Physical Systems, IEEE Trans. Smart Grid, IEEE Trans. Automation Science and Engineering. He served as a session chair of several international conferences including SEGRE2026(the Best Workshop) and ICPE2026. He also serves as a member of the China Electrotechnical Society, Chinese Society for Electrical Engineering.