Research portfolio
A connected agenda for safer mobility.
My research connects emerging data, intelligent systems, and transportation practice. Open a direction to explore the questions, methods, figures, and resources behind it.
Current agenda4 connected directionsSafety · sensing · simulation · people
Proactive traffic safety analytics
Moving safety analysis upstream by connecting trajectories, surrogate safety measures, crash patterns, and machine learning.
Explore this research direction ↗
AI-enabled infrastructure intelligence
Extracting safety-critical roadway and road-user information from imagery, LiDAR, cameras, and multimodal sensing.
Explore this research direction ↗
Transportation safety digital twins
Integrating sensing, trajectories, microscopic simulation, safety metrics, and natural-language interfaces for transparent what-if analysis.
Explore this research direction ↗
Human-centered and multimodal mobility
Studying pedestrian, cyclist, transit, workforce, and equity questions so intelligent systems remain responsive to people and public purpose.
Explore this research direction ↗Selected publications
Peer-reviewed work and conference papers.
Browse all publications ↗Google Scholar profile ↗2026
From Camera-Based Sensing to Reasoning: A Comprehensive Review Toward Proactive Vulnerable Road User SafetyIEEE Transactions on Intelligent Transportation Systems, published online July 20, 2026, 1–17
↗2026Can surrogate safety measures explain crash patterns at signalized intersections? Evidence from network-wide connected-vehicle data using negative binomial, random forest, and diffusion GNN modelsJournal of Safety Research, 97, 553–564
↗2026Leveraging image semantic segmentation for road infrastructure localization in traffic safety applicationsTransportation Research Record, 2680(4), 210–225
↗2026NCHRP Research Report 1152: Leveraging AI and big data to enhance safety analysisTR News, Issue 357, Spring 2026, Transportation Research Board
↗2022Using ordered and unordered logistic regressions to investigate risk factors associated with pedestrian crash injury severity in Victoria, AustraliaJournal of Safety Research, 81, 78–90
↗