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Yize Chen is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Alberta. He holds a PhD in Electrical and Computer Engineering from the University of Washington, obtained in 2021, and an undergraduate degree from Chu Kochen College at Zhejiang University in 2016. Prior to his current role, he was a postdoctoral researcher in Computing Sciences at Lawrence Berkeley National Laboratory and has held various research positions at notable institutions including ISO New England, Microsoft Research, Los Alamos National Laboratory, and Harvard Medical School. Dr. Chen's research focuses on the intersection of control systems, optimization, and machine learning, with a particular interest in designing cyber-physical systems and ensuring the performance of power systems. His commitment to achieving sustainable, autonomous clean energy systems is evident in his work and collaborations. He has been recognized with multiple awards, including paper prizes from the IEEE Power and Energy Society General Meeting, the Power Systems Computation Conference, and ACM e-Energy. Yize is currently looking for highly motivated students to join his research group and work on cutting-edge areas in data-driven control and optimization methods in power and energy systems.
University of Alberta • Edmonton, AB
Teaching and researching in the Department of Electrical and Computer Engineering.
Lawrence Berkeley National Laboratory • Berkeley, CA
Research in Computing Sciences area.
Hong Kong University of Science and Technology • Hong Kong
Conduct research and teach in the Department of Computer Science and Engineering.
Department: Mechanical Engineering and Engineering Management