About me

I am a Ph.D. candidate in Electrical and Computer Engineering (ECE) at Vanderbilt University, Nashville, TN, USA. My research lies at the intersection of transportation systems and artificial intelligence, with a focus on optimization theory, reinforcement learning, and decision-making under uncertainty. I specialize in developing models for Electric Vehicle (EV) charging systems, particularly vehicle-to-building (V2B) coordination, data-driven modeling, and negotiation frameworks.

I have authored multiple research papers, including state-of-the-art optimization models for V2B and EV integration, with recognition at conferences such as the International Conference on Cyber-Physical Systems (ICCPS) and the International Conference on Autonomous Agents and Multiagent Systems (AAMAS). My recent work includes online decision-making algorithms and discrete-event simulations for real-world electric mobility challenges.

In 2025, I was selected as a member of the OpenMinds NextGen Leaders cohort, joining a network of researchers and professionals working to solve the Dual Challenge: enabling more energy with fewer emissions.