I completed my B.Sc., M.Sc., and Ph.D. in Electrical Engineering-Power Systems in Iran in 2017, 2019, and 2024, respectively. In 2025, I completed my first postdoctoral fellowship at Toronto Metropolitan University (TMU). I am currently pursuing my second postdoctoral fellowship jointly at the U of T and TMU.

My master’s research focused on electric vehicle modeling and its integration into home energy management systems. I also developed data mining approaches to predict the charging demand of vehicle-to-grid (V2G)-capable electric vehicles in power distribution systems. During my Ph.D., I focused on developing machine learning-assisted optimization frameworks for the deployment of automatic protective and control switching devices in power distribution systems. The goal of this work was to enhance the automation of fault management processes and improve the reliability of modern power grids. In my first postdoctoral fellowship, I investigated the impact of cyberattacks on series compensators, particularly attacks designed to overload transmission lines and trigger cascading outages. In my current postdoctoral research, I am expanding my expertise in the cybersecurity of System Integrity Protection Schemes (SIPS), where local protection systems operate in coordination with wide-area control mechanisms.

My research interests center on power system operation and planning, advanced optimization techniques, artificial intelligence, and cybersecurity applications in modern cyber-physical power systems. I am grateful for the opportunity to contribute to research projects that address critical challenges in developing resilient and intelligent energy systems for the future.

Outside of research, I enjoy teaching, running, playing football, and spending time in nature with friends.

mehrdad.ebrahimi@utoronto.ca
ebrahimi.academic@gmail.com