Dr. Zhirui Liang
Affiliations
Assistant Professor
Faculty of Science, Department of Mathematics and Statistics
Assistant Professor
Faculty of Science, Department of Earth, Energy, and Environment
Contact information
Location
Office: MS548
I'm looking for...
Research assistants
I am looking for fully-funded students joining through the Masters/Ph.D. in Mathematics and Statistics or Masters/Ph.D. in Geoscience programs, starting Winter 2026 or Fall 2027
Research partners
I am looking for industrial or academia partners that could collaborate on power system modeling and optimization, electricity market design, and machine learning applications in different fields.
Background
Educational Background
Schmidt AI in Science Postdoctoral Research Fellow University of Michigan, 2026
PhD Electrical and Computer Engineering, Johns Hopkins University, 2025
MSc Electrical Engineering, Xi'an Jiaotong University, 2020
BSc Electrical Engineering, North China Electric Power University, 2017
Research
Areas of Research
My research lies at the intersection of power system engineering, operations research, machine learning, and energy economics. My work focuses on addressing the challenges of increasing uncertainty, data complexity, and information asymmetry in modern power systems.
My group will develop rigorous mathematical models, data-driven methods, and trustworthy AI algorithms to support the integration of variable renewable energy and surge electricity demand (e.g., from data centers), while improving the reliability, efficiency, robustness, and transparency of power and energy systems. Our research lies at the intersection of optimization, game theory, machine learning, power system engineering, and energy economics. Current topics include:
- Power/energy system modeling under uncertainty and strategic human behavior
- Decision-support tools for power system and market operators
- AI-integrated power system operation and planning
- Optimization and control of distributed energy resources
- Data center–grid coordination and energy-efficient computing
Publications
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