Prof. Zhengtao Ding HKSME

Nov. 10, 2022

Dr. Jessica Bian from IEEE Power & Energy Society (PES) will give a plenary talk on 2023 8th Asia Conference on Power and Electrical Engineering (ACPEE 2023), Tianjin, China from April 14 to 16, 2023. More information can be found at: https://www.acpee.net/

Nov. 15, 2022

Prof. Zhengtao Ding from The University of Manchester will give Keynote speech on 2023 8th Asia Conference on Power and Electrical Engineering (ACPEE 2023), Tianjin, China from April 14 to 16, 2023. More information can be found at: https://www.acpee.net/

Dec.1 28, 2022

Prof. Jingsong Leng from Harbin Institute of Technology will give Keynote speech on 2023 7th International Conference on Advanced Materials Research and Manufacturing Technologies (AMRMT 2023), Macau, China during Sept. 22-24, 2023! More information can be found at: https://www.amrmt.org/

Prof. Zhengtao Ding

Biography: Zhengtao Ding received B.Eng. degree from Tsinghua University, Beijing, China, and M.Sc. degree in systems and control, and the Ph.D. degree in control systems from the University of Manchester Institute of Science and Technology, Manchester, U.K. After working in Singapore for ten years, he joined the University of Manchester in 2003, where he is currently Professor of Control Systems, and the Head of Control and Robotics Group. He is the author of the book: Nonlinear and Adaptive Control Systems (IET, 2013), and a co-author of two other books, and has published over 300 research articles. His research interests include nonlinear and adaptive control theory and their applications, more recently on distributed optimization and distributed machine learning, with applications to power systems and robotics. Prof. Ding has served as the Subject Chef Editor of Nonlinear Control for Frontiers, and Associate Editor for the IEEE Transactions on Automatic Control, IEEE Control Systems Letters, and several other journals. He is a member of IEEE Technical Committee on Nonlinear Systems and Control, IEEE Technical Committee on Intelligent Control, and IFAC Technical Committee on Adaptive and Learning Systems.