Chair: Dr. Yachen Tang, Univers, USA
Dr. Tang received the B.S. degree in telecommunications engineering from Jilin University, Changchun, China, in 2011, and the M.S.E.E. and Ph.D. degrees in electrical and computer engineering from Michigan Technological University, Houghton, MI, USA, in 2014 and 2018, respectively. He was working as Post-Doc Researcher and Research Engineer with GEIRI North America, CA, US and he is currently a Staff Research Engineer with Univers, CA, US. He has published more than 60 SCI/EI journal/conference papers, 1 textbook “Electric Power: Distribution Emergency Operation”, 1 bookchapter “Construction and Application of Spatiotemporal Graph Model for Modern Power Systems”, and more than 20 invention patents. He is IEEE Senior and a member of the Youth Experts Group with Chinese Society for Electrical Engineering. His primary research interests are graph database and graph computing applications in power systems, electricity carbon accounting and analysis, data modeling for heterogeneous and homogeneous data sources, knowledge graph, machine learning, smart grid, and digital image processing.
Co-chair: Dr. Yawei Wei, China Electric Power Research Institute, China
He received the B.S. degree in electrical engineering and automation from the College of Electric Power and Automation Engineering, Shanghai University of Electric Power, Shanghai, China, in 2010; the M.S. degree in electrical and computer engineering from Michigan Technological University, US, in 2014, and the Ph.D. degree in electrical and computer engineering from Clemson University, US, in 2018. From 2019 to 2022, he conducted Post-Doc research at China Electric Power Research Institute (CEPRI). Since 2022, he has been working at the same institute, focusing on online security and stability assessment and intelligent analysis technologies for power systems. He was promoted to Senior Engineer in December 2023. Previously, he worked as a Visiting Scholar at the Pacific Northwest National Laboratory (PNNL), USA, from June to August 2013. He has published more than 35 SCI/EI journal/conference papers, and 20 patents. He has won the 2025 CEEPE Best Presentation Award, and the 2025 ACPEE Conference Best Session Paper. His primary research interests are wavelet analysis, machine learning, smart grid applications in power system stability assessment.
Co-chair: Dr. Shi Liang, Nanjing University of Information Science and Technology, China
Dr. Shi Liang is a Lecturer at the School of Automation, Nanjing University of Information Science and Technology, China. He received his Ph.D. degree from Zhejiang University in 2020. From 2021 to 2022, he worked in the Department of Mechanical Engineering at the University of Hong Kong (HKU) as a Research Associate. Since 2024, he has been serving as an Honorary Assistant Professor at HKU. He is also a Recognised Teacher at the University of Reading, UK. He received the Outstanding Reviewer Award from IET Control Theory & Applications in 2023 and 2024, and was selected as a Jiangsu Province “Double-Innovation Doctor” in 2025. He has served as sub-project lead or key contributor in multiple State Grid of China Science and Technology Programs, including the project “Research on Key Technologies for Grid Dispatch Optimization Solving Based on Graph Deep Learning.” He has published more than 10 SCI journal papers, including articles in IEEE Transactions on Cybernetics and IEEE Transactions on Industrial Electronics. His research focuses on state estimation, secure sensing, and intelligent analysis for high-renewable power grids, with recent interests in graph-based optimization and AI-driven dispatch for modern power systems.