This page provides an overview of the main research areas, methodological focus, and current/recent projects in my lab. For complete publication, check my Google Scholar / ResearchGate.
Research Areas
- Multi-level modeling of transportation systems (micro-meso-macro, from human to network to system of systems).
- Public Transportation & Shared Mobility.
- Transportation Electrification / Decarbonization (EVs, Charging Stations, and their coupling with other systems).
- Community-centric mobility solutions and equitable private/public transportation designs and operations.
- Modeling of Cyber-Physical-Social Systems.
- Urban computing (data-driven transportation studies).
- Promoting Sustainable, Resilient, and Equitable Transportation Systems.
Methodological Emphasis
- Mathematical modeling and optimization (network modeling).
- Integer programming (e.g. routing problems, see examples)
- Complex networks (See examples 1 and 2).
- Data analytics / trajectory data mining.
- Machine learning for optimization/transportation problems (e.g., GNN for solving traffic assignment, GNN for speeding up BnB and BnP processes).
- Large-scale high-fidelity simulation development (see examples for multi-modal transportation systems and an simulation env for training RL algorithms).
Current Projects
- PI. USDOE: Co-E3T: Energy-Efficient and Equitable Transit through user-centric hardware and software Co-development and community Co-design.
- PI. NSF: SAI: Large-scale Planning for Electric Vehicle Public Charging Infrastructure.
- Rice PI. USDOT: SMART: Regional Mobility Engine for Central Alabama.
- Co-PI. USDOT: ADVANCED DRIVER ASSISTANCE SYSTEMS PILOT PROJECT FOR LARGE TRANSIT BUSES
