Chair: Dr. Changxu Jiang, Fuzhou University, China
Dr. Changxu Jiang is a IEEE Member, and graduate supervisor. He dedicates his career to interdisciplinary research in power-transportation coupling network, power system resilience, and reinforcement learning (AI). His research leadership is evidenced by principal investigator roles in multiple competitive grants including the National Natural Science Foundation of China (NSFC) Youth Program, Fujian Provincial Natural Science Foundation Project, and Fuzhou University Startup Fund. As a China Scholarship Council awardee, Dr. Jiang completed a one-year visiting fellowship at Cardiff University, strengthening international academic collaboration.
His scholarly output includes 20+ SCI/EI-indexed publications and 20+ authorized invention patents, demonstrating consistent contributions to smart grid innovation and AI-driven energy solutions.
Co-chair: Dr. Tao Qian, Southeast University, China
Tao Qian received the B.S. and Ph.D. degrees in electrical engineering from Xi’an Jiaotong University, Xi’an, China, in 2017 and 2022, respectively. He was a Visiting Scholar with the School of Engineering, Cardiff University, U.K., from 2020 to 2021. He is currently a Lecturer with Southeast University, Nanjing, China. His current research interests include the coordinated power and transportation systems, market mechanism design, and DRL methods.
Co-chair: Dr. Zhenjia Lin, The Hong Kong Polytechnic University, Hong Kong, China
Dr. Zhenjia Lin obtained his B.S. and Ph.D. degrees in Electrical Engineering from the South China University of Technology in Guangzhou, China. He was a Research Assistant at the Technical University of Denmark, Denmark, from 2019 to 2020, and at Tsinghua University, China, from 2021-2022. In 2022, He joined the Hong Kong Polytechnic University and served as a Research Associate at the Department of Electrical and Electronic Engineering, and then as a Postdoctoral Fellow at the Department of Building Environment and Energy Engineering. Currently, he is a Research Assistant Professor, focusing on data-driven analytics, uncertainty optimization, and their applications in power and energy systems, as well as renewable energy integration.