Prof. Zhuo Wang
Beihang University, China
Biography: Zhuo Wang received the B.E. degree in Automation from Beihang University, Beijing, China, in 2006; and the Ph.D. degree in Electrical and Computer Engineering from University of Illinois at Chicago, Chicago, IL, USA, in 2013. He was a Postdoctoral Fellow with the Department of Electrical and Computer Engineering, University of Alberta, from 2013 to 2014; and then worked as a Research Assistant Professor with the Fok Ying Tung Graduate School, Hong Kong University of Science and Technology, from 2014 to 2015. Zhuo Wang was selected for the “12th Recruitment Program for Young Professionals” by the Organization Department of the CPC Central Committee, and the “100 Talents Program” by Beihang University, in 2015. As the Second Recipient, he won the First Prize of Natural Science in the Award for Outstanding Achievements in Scientific Research of Colleges and Universities (Science and Technology) by Ministry of Education of the People's Republic of China, in 2019. Then, he won the 7th Chinese Association of Automation Young Scientist Award, in 2021. Zhuo Wang joined Beihang University since January 2016, and he is currently a Professor and a Ph.D. Instructor with the Research Institute for Frontier Science, and with the Key Laboratory of Ministry of Industry and Information Technology on Quantum Sensing Technology, and with Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, China; and also with Beihang Hangzhou Innovation Institute Yuhang, Hangzhou, China. Prof. Wang is currently a Vice Director of the 9th Chinese Association of Automation (CAA) Youth Work Committee; a Member of the Adaptive Dynamic Programming and Reinforcement Learning Technical Committee of IEEE Computational Intelligence Society; and is also a Member of the Data Driven Control, Learning & Optimization Professional Committee of CAA. Besides, he is an Associate Editor of IEEE Transactions on Systems, Man, and Cybernetics: Systems; an Associate Editor of Control Theory & Applications; an Associate Editor of Acta Automatica Sinica; and is also an Associate Editor of Pattern Recognition and Artificial Intelligence. Prof. Wang's research interests include data-based system identification, modeling, analysis, learning and control; nonlinear system adaptive control; atomic spin ensembles system control; as well as state estimation and signal processing of complex high precision measurement instruments.