Prof. Yangyang Chen
Southeast University, China
Biography: Yang-Yang Chen received the B.Sc. and M.Sc. degrees in electrical engineering and automation from the Hefei University of Technology, Hefei, China, in 2003 and 2006, respectively, and the Ph.D. degree in control science and engineering from Southeast University, Nanjing, China, in 2010.Since 2010, he has been with Southeast University, where he is currently a Professor with the School of Automation. From 2019 to 2021, he was a Visiting Researcher in the Department of Electrical and Electronic Engineering at Imperial College of Science, Technology and Medicine. His research interests include adaptive control, nonlinear formation control, coordinated path-following control and game confrontation. He is currently an Associate Editor on the Conference Editorial Board of IEEE CSS, ACC and CDC. He has published over 100 papers including IEEE TAC, Automatics, JGCD and so on.
Assoc. Prof. Bo Sheng
Shanghai University, China
Biography: Associate Professor Bo Sheng, a Shanghai Leading Talent (Overseas) and Shanghai Pujiang Talent, obtained his Ph.D. and completed postdoctoral research at the University of Auckland, New Zealand, where he studied under international leading scholars in rehabilitation robotics and biomechanics: Professor Shane Xie (Fellow of both the Royal Society of New Zealand and Engineering New Zealand, National High-Level Leading Talent), Associate Professor Yanxin Zhang (Director of the Biomechanics Laboratory at the University of Auckland, Distinguished Minjiang Scholar of Fujian Province), and Associate Professor Lihua Tang (President of the New Zealand Chinese Scientists Association). Currently serving as a Tenured Associate Professor and Master’s Supervisor at the School of Mechatronic Engineering and Automation, Shanghai University (a Double First-Class university), his research focuses on bio-mechatronics integration systems, with key directions including large language model-driven smart elderly care/healthcare, intelligent human-robot interaction, rehabilitation medical robots, multimodal information fusion, and intelligent recognition algorithms based on electromyography (EMG) and electroencephalography (EEG). Centering on the mechanisms of complex human motion, intelligent control strategies, and cross-modal biosignal interpretation, his work aims to advance AI-enabled rehabilitation engineering and smart medical devices. To date, he has presided over or participated in more than 30 national and provincial-level research projects, published over 60 high-impact papers, and accumulated more than 1,200 total citations.
Assoc. Prof. Jianping Dou
Southeast University, China
Biography: Jianping Dou is now an Associate Professor of School of Mechanical Engineering, Southeast University, and he is currently a PhD supervisor. His current research interests include intelligent manufacturing, and evolutionary algorithms. He is a committee member of Industrial Big data and Intelligent System of Chinese Mechanical Engineering Society. He has received the Second Prize of the National Defense Science and Technology Progress Award in 2011, and received Jiangsu Provincial Double-Innovation Doctor Program in 2014.
He joined Southeast University, Nanjing, China, in 2009. He has published 50+ journal papers (H-index 16), granted 10 national invention patents. He has completed 4 projects funded by the National Natural Science Foundation of China, and 2 open fund projects of key laboratories, 1 sub-project of the National 973 Program, and 1 key research and development project of Jiangsu Province.
He received his B.S. degree in Aircraft Propulsion Engineering from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2002, M.S. degree in Aeroengine Control Engineering from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2005, and the Ph.D. degree in Control Theory and Control Engineering from Southeast University, Nanjing, China, in 2009. He has been a visit scholar at WuMRC of University of Michigan in 2016-2017.
Speech Title: An adaptive Genetic Algorithms and its Application of Operation Sequencing for Intelligent Manufacturing
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