Yize Chen, PhD

Assistant Professor, Faculty of Engineering - Electrical & Computer Engineering Dept

Personal Website: https://scholar.google.com/citations?user=G1NiRmwAAAAJ&hl=en


Assistant Professor, Faculty of Engineering - Electrical & Computer Engineering Dept
(780) 492-3816
11-351 Donadeo Innovation Centre For Engineering
9211 116 St
Edmonton AB
T6G 2H5


Area of Study / Keywords

Energy Systems Control Systems Machine Learning Optimization


Yize Chen got his Ph.D. degree in Electrical and Computer Engineering from University of Washington in 2021; and his undergraduate degree from Zhejiang University in 2016. He was a postdoctoral researcher at the Computing Sciences Area of Lawrence Berkeley National Lab. He has also held research positions at ISO New England, Microsoft Research, Los Alamos National Laboratory, and Harvard Medical School, working on a set of problems related to data centers, power grid infrastructures, biological dynamics and the built environment. Previously he was an assistant professor at Artificial Intelligence Thrust at Hong Kong University of Science and Technology also affiliated with the Department of Computer Science and Engineering at HKUST. 

Yize’s research focuses on the intersection between control, optimization and machine learning, and he is interested in designing cyber-physical systems, especially power systems with performance guarantees. He is also committed to achieving sustainable and autonomous clean energy systems. He is also a recipient of several best paper and prize paper awards at IEEE PES General Meeting, Power Systems Computation Conference (PSCC), and ACM e-Energy.

Personal Website


Yize's current research interests include:

  • Data-driven decision-making (Reinforcement learning, robust and uncertainty-aware optimization, cyber-physical systems and etc)
  • Efficient and sustainable power systems (carbon-aware planning and operations, power system modeling, monitoring and control and etc)
  • Control and optimization theories and applications


I am looking for highly motivated students to join my group. Please drop me an email with your research interests and related background.