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Chao Shen received his B.E. degree in automation engineering and M.Sc. in control science and engineering from Northwestern Polytechnical University, China in 2009 and 2012, respectively, and his Ph.D. degree in mechanical engineering from the University of Victoria, Canada, in 2018. He is currently an Assistant Professor in the Department of Systems and Computer Engineering at Carleton University. His primary research interests lie in control theory, machine learning, and optimization, with applications in robotics systems, mechatronics systems, and industrial processes. Before joining Carleton, he was a postdoctoral researcher at the Real-time Adaptive Control Engineering Lab at the University of Michigan, Ann Arbor. Dr. Shen received the 2018 IEEE SMCS Thesis Grant Initiative for his Ph.D. thesis on model predictive control for underwater robotics and was awarded the Natural Science and Engineering Research Council of Canada (NSERC) Postdoctoral Fellowship in 2020. He is also serving as an associate editor for IEEE/ASME Transactions on Mechatronics and for the IEEE Canadian Journal of Electrical and Computer Engineering. Dr. Shen is a member of IEEE.