Research

Our research focuses on advancing transportation systems through artificial intelligence, advanced sensing technologies, and data-driven methods. We develop solutions for traffic monitoring, vehicle classification, vulnerable road user safety, urban freight analytics, and policy evaluation.

AI & Sensing VRU Safety Urban Freight Policy & Simulation Data Analytics
7 Active 4 Completed

Current

Collaborative Research at the Intersection of Statistics and Engineering (CRSE)
Current

Collaborative Research at the Intersection of Statistics and Engineering (CRSE)

Sponsor: National Science Foundation (Award No. 2538439)
Role: co-PI
Year: 2026

NSF-funded workshop on high-dimensional data analysis, bringing together engineering and statistics Ph.D. students for mentorship, lectures by distinguished ...

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Leveraging Multimodal LLM for Efficient Understanding of VRU via Multimodal Traffic Sensing Approach
Current

Leveraging Multimodal LLM for Efficient Understanding of VRU via Multimodal Traffic Sensing Approach

Sponsor: US DOT – UTC (pending)
Role: PI
Year: 2025-2027

This project transitions from manual labeling toward a self-learning AI system powered by MLLMs, integrating VLMs into annotation pipelines and active agents...

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Simulating Congestion Pricing Effects on Traffic Patterns in Neighboring Communities
Current

Simulating Congestion Pricing Effects on Traffic Patterns in Neighboring Communities

Sponsor: US DOT – UTC SEMPACT Center
Role: co-PI
Year: 2025-2026

Developing a SUMO microscopic traffic model to evaluate congestion pricing effects on Northern Manhattan and transportation policies.

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NYC DOT - Transit Tech Lab Curb Activity Challenge
Current

NYC DOT - Transit Tech Lab Curb Activity Challenge

Sponsor: New York City Department of Transportation (NYC DOT)
Role: CUNY PI
Year: 2025

Technical validation of AIWaysion computer vision sensors collecting real-time curb usage data for urban mobility and curb management.

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Investigation of Emerging Sensing and AI/ML Technologies to Enhance the Safety of Vulnerable Roadway Users at Signalized Intersection
Current

Investigation of Emerging Sensing and AI/ML Technologies to Enhance the Safety of Vulnerable Roadway Users at Signalized Intersection

Sponsor: US DOT – UTC TBD National Center
Role: PI
Year: 2024-2026

AI/ML-empowered data collection and analysis by fusing LiDAR and PTZ cameras to identify and analyze pedestrians, cyclists, and vehicles for intersection saf...

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Developing a Robust Traffic Network Model for Transportation Policy Analysis of Northern Manhattan
Current

Developing a Robust Traffic Network Model for Transportation Policy Analysis of Northern Manhattan

Sponsor: US DOT – UTC Region 2 SEMPACT Center
Role: co-PI
Year: 2024-2026

Robust traffic network model using SUMO for analyzing transportation policies in Northern Manhattan and NYC.

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Drive-by Sensing for Urban Truck Characterization using Google Street View Imagery
Current

Drive-by Sensing for Urban Truck Characterization using Google Street View Imagery

Sponsor: US DOT - UTC SEMPACT Center
Role: PI
Year: 2024-2025

Leveraging Google Street View imagery and deep learning to identify and classify trucks in urban areas for informed policymaking on freight and livability.

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