Yize Chen, PhD

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

Personal Website: https://sites.google.com/view/yizechen/home

Contact

Assistant Professor, Faculty of Engineering - Electrical & Computer Engineering Dept
Email
yize.chen@ualberta.ca
Phone
(780) 492-3816
Address
11-351 Donadeo Innovation Centre For Engineering
9211 116 St
Edmonton AB
T6G 2H5

Overview

Area of Study / Keywords

Energy Systems Control Systems Machine Learning Optimization Cyber-Physical Systems


About

Yize Chen is an assistant professor with ECE Department at the University of Alberta. He got his Ph.D. degree in Electrical and Computer Engineering from University of Washington in 2021; and his undergraduate degree from Chu Kochen College at Zhejiang University in 2016. He was a postdoctoral researcher at the Computing Sciences Area of Lawrence Berkeley National Lab. He has also held multiple research positions at ISO New England, Microsoft Research, Los Alamos National Laboratory, and Harvard Medical School, working on a set of novel projects related to data centers, power grid infrastructures, biological dynamics and the built environment. Previously he was an assistant professor at Artificial Intelligence Thrust of 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 (2024, 2022), Power Systems Computation Conference (PSCC) (2020), and ACM e-Energy (2019).

Personal Website


Research

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.

Announcements

I am always looking for highly motivated students to join my group and work in the cutting edge areas of data-driven control and optimization methods, power and energy systems, and machine learning. Please drop me an email with your research interests and related background.

Courses

ECE 202 - Electrical Circuits I

Circuit element definitions. Circuit laws: Ohm's, KVL, KCL. Resistive voltage and current dividers. Basic loop and nodal analysis. Dependent sources. Circuit theorems: linearity, superposition, maximum power transfer, Thevenin, Norton. Time domain behavior of inductance and capacitance, energy storage. Sinusoidal signals, complex numbers, phasor and impedance concepts. Magnetically coupled networks. Single phase power and power factor. Prerequisites: MATH 101, 102. Credit may be obtained in only one of ECE 202, E E 240, ECE 209 or E E 239, unless approved by the Department.


ECE 430 - Power System Analysis

Transmission line design parameters; power flow computations; Generator control systems, load frequency control; economic operation of power systems; Symmetrical components theory; Symmetrical and unsymmetrical fault analysis. Prerequisite: ECE 330 or E E 330. Corequisite: ECE 332 or E E 332. Credit may be obtained in only one of ECE 430 or E E 430.


Browse more courses taught by Yize Chen

Featured Publications

Ruohong Liu, Yuxin Pan, Linjie Xu, Lei Song, Pengcheng You, Jiang Bian, Yize Chen

ICLR 2025. 2025 May;


Xuan He, Danny H.K. Tsang, Yize Chen

IEEE Transactions on Power Systems. 2025 March; 10.1109/TPWRS.2024.3424409


Yuzhuo Li, Mariam Mughees, Yize Chen, Yunwei Ryan Li

Arxiv 2409.11416. 2024 September;


Siyang Li, Hui Xiong, Yize Chen

IEEE Transactions on Smart Grid. 2024 January; 10.1109/TSG.2024.3360874


Yuxin Pan, Yize Chen, Fangzhen Lin

Advances in Neural Information Processing Systems. 2023 December;


Yize Chen, Ling Zhang, Baosen Zhang

Electric Power Systems Research. 2022 December; 10.1016/j.epsr.2022.108595


Ling Zhang, Yize Chen, Baosen Zhang

IEEE Transactions on Control of Network Systems. 2022 June; 10.1109/TCNS.2021.3124283


Yize Chen, Yuanyuan Shi, Baosen Zhang

International Conference on Learning Representations. 2019 May;


Yize Chen; Yishen Wang; Daniel Kirschen; Baosen Zhang

IEEE Transactions on Power Systems. 2018 January; 10.1109/TPWRS.2018.2794541


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