Led several research projects including SUGAR, aimed at enabling faster yet robust simulations and optimizations for future grids; also involved in large-scale energy system simulations and optimizations, flexible optimization for reliable electrification and sustainable transition, grid state estimation and anomaly detection, and grid cybersecurity.
Research Experience
At Carnegie Mellon, I, along with my colleagues, developed a novel circuit-theoretic simulation and optimization framework for power grids, which led to the creation of SUGAR (Simulation of Unified Grid Analysis and Renewables), now commercialized by Pearl Street Technologies, Inc.
Education
Specific educational background details are not provided.
Background
I am an Assistant Professor in Electrical Engineering at the University of Vermont with an adjunct appointment in the Electrical and Computer Engineering Department at Carnegie Mellon University. My work focuses on technologies related to electrical energy systems using circuit theory, nonlinear optimization, machine learning, and numerical methods. Key areas of interest include renewable integration, grid reliability and resilience, cybersecurity, digital twins, electric mobility, and energy affordability.
Miscellany
Always looking for promising doctoral and post-doctoral candidates interested in addressing critical challenges in the sustainable and resilient electric grid transition.