Chair: Assoc. Prof. Huan Long, Southeast University, China
Huan Long received the B.Eng. degree from Huazhong University of Science and Technology, Wuhan, China, in 2013, and the Ph.D. degree from the City University of Hong Kong, Hong Kong, in 2017. She is currently an Associate Professor with the School of Electrical Engineering, Southeast University, Nanjing, China. Her research fields include artificial intelligence applied in modeling, optimizing, monitoring the renewable energy system and power system.
Co-chair: Prof. Zijun Zhang, City University of Hong Kong, Hong Kong, China
Prof. Zijun Zhang received his B.Eng. degree in Systems Engineering and Engineering Management from the Chinese University of Hong Kong, Hong Kong, in 2008, and the M.s. and ph.D. degrees in industrial Engineering from the University oflowa, lowa City, USA, in 2009 and 2012, respectively. His is currently Professor and Head of Department of Data Science at City University of Hong kong, Hong Kong, China. His research focuses on machine learning and computational intelligence methods as well as their applications in the renewable energy, facility energy management, rail transportation systems, and manufacturing processes. He is a senior member of IEEE. He is currently serving as an Associate Editor for IEEE Transactions on Sustainable Energy, IEEE Power Engineering Letters, and Journal of inteligent Manufacturing, as well as the advisory board member of Patterns: Cell Press.
Co-chair: Dr. Xin Liu, Beijing Institute of Technology, China
Xin Liu received a B.Eng. degree in industrial engineering from Beijing Institute of Technology in 2016, and a Ph.D. degree in data science from the City University of Hong Kong, Hong Kong SAR, China in 2021. He was an exchange student at the School of Mechanical Engineering, Karlsruhe Institute of Technology, Germany in 2016. He is currently an Assistant Professor with the School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China. His research interests include data science and optimization with applications in intelligent manufacturing, renewable energy, and product design.