Prof.Derong Liu

Speech Title:

Control Paradigms in the New Era of AI and Machine Learning

Abstract:

Artificial Intelligence has become one of the most important components of technological innovations in recent years. The rise of AI is already transforming many industries, including healthcare, finance, and manufacturing. One of the key drivers of the rise of AI has been the development of machine learning such as deep learning and reinforcement learning. On the other hand, it is envisioned that AI and machine learning techniques will have many applications in the field of automation, and the deep integration of control paradigms with AI and machine learning will become of paramount importance. This lecture will introduce a few control paradigms for intelligent control with the goal of building a uniform framework, including parallel control, cloud control, networked control, agent-based control, and adaptive critic control. Such a uniform framework will be an important step towards the next generation of intelligent control and automation.

Bio of lecturer:

Derong Liu received the Ph.D. degree in electrical engineering from University of Notre Dame, Indiana, USA, in 1994. He was a Staff Fellow with General Motors Research and Development Center, from 1993 to 1995. He was an Assistant Professor with the Department of Electrical and Computer Engineering, Stevens Institute of Technology, from 1995 to 1999. He joined the University of Illinois Chicago in 1999, and became a Full Professor of Electrical and Computer Engineering and of Computer Science in 2006. He was selected for the “100 Talents Program” by the Chinese Academy of Sciences in 2008, and he served as the Associate Director of The State Key Laboratory of Management and Control for Complex Systems at the Institute of Automation, from 2010 to 2016. He is currently a chair professor with the School of System Design and Intelligent Manufacturing, Southern University of Science and Technology, Shenzhen, China. Dr. Liu was the Editor-in-Chief of IEEE Transactions on Neural Networks and Learning Systems, from 2010 to 2015. He served as the President of Asia Pacific Neural Network Society in 2018. Dr. Liu received the Faculty Early Career Development Award from the National Science Foundation in 1999, the University Scholar Award from University of Illinois from 2006 to 2009, the Overseas Outstanding Young Scholar Award from the National Natural Science Foundation of China in 2008, and the Outstanding Achievement Award from Asia Pacific Neural Network Assembly in 2014. He received the International Neural Network Society’s Gabor Award in 2018; the IEEE Systems, Man and Cybernetics Society Andrew P. Sage Best Transactions Paper Award in 2018; the IEEE Transactions on Neural Networks and Learning Systems Outstanding Paper Award in 2018; the IEEE/CCA J. Automatica Sinica Hsue-Shen Tsien Paper Award in 2018. He is recipient of the IEEE CIS Neural Network Pioneer Award in 2022. He has been named a highly cited researcher consecutively for six years from 2017 to 2022 by Clarivate. Currently, he is the Editor-in-Chief of Artificial Intelligence Review, and the Chair IEEE Guangzhou Section. He is a Fellow of the IEEE, a Fellow of the International Neural Network Society, a Fellow of the International Association for Pattern Recognition, and a Member of Academia Europaea (The Academy of Europe).

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