Research systems and open-source tools spanning EV-grid optimization, transit electrification, traffic simulation, and embedded hardware, most validated on real-world data and backed by peer-reviewed publications.
Intelligent decision-making for EV charging in buildings under uncertainty, combining optimization, reinforcement learning, and negotiation to cut energy cost while keeping the grid stable and users happy.
Simulation + optimization for electric bus fleets, co-simulating transport and power grid to plan charging and cut emissions. Deployed on Chattanooga, TN.
Data-driven calibration of city-scale traffic models from real vehicle-speed data, plus synthesizing realistic origin-destination demand from US Census data.
Low-cost embedded systems for environmental monitoring and QCM-based electronic-nose applications, full hardware-to-GUI data acquisition stacks.
Custom-built fixed-wing aircraft and multirotors (airframes, propulsion, flight tuning), later used as an aerial platform for air-quality sensing research.
Open-source pipeline that synthesizes calibrated origin-destination commute matrices from US Census data. 2nd Place, INFORMS 2025.
Synthetic data generation for Vehicle-to-Building charging experiments, modeling EV arrivals, loads, and user flexibility.
A tool to interact with and learn from arXiv papers, turning research papers into a more digestible, conversational format.
Data-driven decision-making experiments on all things football (soccer); a side project applying analytics for fun.