Research
My research develops data-driven methods to make transportation systems safer and more efficient. Below are the main themes my lab works on; please see projects for active and past funded work, and publications for the resulting papers.
Digital Twins for Transportation
Computer Vision Applications in Transportation
Microhubs and Cargo Cycles for Last-mile Deliveries
Quantum Computing
E-commerce Modeling
Freight Demand Modeling
Urban Logistics
Travel Demand Modeling
Highway Incident Management
LLMs for Transportation Safety
Land Price Modeling
Eco-score Modeling
Traffic State Estimation
Methods & Tools
My group works with a mix of high-fidelity traffic simulation (e.g., SUMO, MATSIM), statistical modeling, AI, and machine learning methods. We prioritize reproducible, open-source workflows — code for select projects is available on GitHub.
Collaborations
I collaborate with researchers in civil engineering, computer science, and urban planning, as well as with public-sector partners. Get in touch about collaborating.