PI/Co-PI Smart Transportation Planning and Management for High-Impact Events Integrating Digital Twin and Computer Vision Technologies A Cost-Efficient Digital Twin Approach Using Pan-Tilt-Zoom Cameras to Enhance Urban Mobility Situational Awareness An AI-enabled Digital Twin to help urban incident management NanoDT, How to Help Urban Emergencies Using AI-Enabled DT A High-Fidelity, Cost-Efficient System Simulation for Enhanced Traffic Accident Response and Management A Traffic Educational Hub by Deploying AI Models With Real Traffic Data An interactive web-portal bridging educators and students in teaching and learning experience of transportation machine learning Red Light Camera Expansion in New York City Spillover Effect, Behavioral Insights and Strategic Allocation Fine-tuned LLM for Transportation Report Reasoning A knowledge capture and deployment tracking platform for UTC research