Yize Chen, PhD
Personal Website: https://sites.google.com/view/yizechen/home
Contact
Assistant Professor, Faculty of Engineering - Electrical & Computer Engineering Dept
- yize.chen@ualberta.ca
- Phone
- (780) 492-3816
- Address
-
11-351 Donadeo Innovation Centre For Engineering
9211 116 StEdmonton ABT6G 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).
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.
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
View additional publications