Xiaoting Wang

ASSISTANT PROFESSOR

Xiaoting Wang received the B.Eng. degree from Fuzhou University, Fuzhou, China, in 2016, the M.S. degree from the Harbin Institute of Technology, Shenzhen, China, in 2019, and the Ph.D. degree from McGill University, Montreal, QC, Canada, in 2024. From 2024 to 2026, she worked as a Postdoctoral Fellow at the University of Alberta, Alberta, Canada, where she also served as a sessional instructor. She joined Toronto Metropolitan University as an Assistant Professor in September 2026.

RESEARCH INTERESTS

Power System Stability Assessment; Power System Optimization; Data-Driven Methods; Uncertainty Quantification; Distributed Energy Management and Virtual Power Plants

AWARDS AND RECOGNITION

• Future Energy Systems Graduate Student and Postdoctoral Fellow Opportunity Award at the University of Alberta in May 2026
• The Fonds de recherche du Québec - Nature et technologies (FRQNT) Ph.D. Scholarship (2022-2023)
• The McGill Engineering Doctoral Award (2019-2021)

SELECTED PAPERS

• Xiaoting Wang, Xiaozhe Wang, Hao Sheng, and Xi Lin. "A Data-Driven Sparse Polynomial Chaos Expansion Method to Assess Probabilistic Total Transfer Capability for Power Systems with Renewables", IEEE Transactions on Power Systems, vol. 36, no. 3, pp. 2573 - 2583, May 2021.
• Xiaoting Wang, Rongpeng Liu, Xiaozhe Wang, Yunhe Hou and Francois Bouffard. "A Data-Driven Uncertainty Quantification Method for Stochastic Economic Dispatch", IEEE Transactions on Power Systems, vol. 37, no. 1, pp. 812-815, Jan 2022.
• Xiaoting Wang, Rong-Peng Liu, Xiaozhe Wang, Francois Bouffard. "A Comparative Study of Polynomial Chaos Expansion-Based Methods for Global Sensitivity Analysis in Power System Uncertainty Control", IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 71, no. 1, pp. 216-220, Jan 2024.
• Han Zhang, Rui Liu, Xiaoting Wang, and Yunwei (Ryan) Li. "Unified Fault Ride-Through Capability-Based Resilience-Aware Metrics for Grid-Forming Inverter-Based Systems", IEEE Transactions on Power Electronics, vol. 41, no. 3, pp. 4128-4147, March 2026.
• Xiaoting Wang, Xiaozhe Wang, Gregory Kish, and Yunwei (Ryan) Li. "A Bayesian Adaptive Spectral Surrogate Model for Efficient Probabilistic Optimal Power Flow Evaluation", To appear in IEEE Transactions on Power Systems.