Transportation Engineering & Intelligent Transportation Systems
AI & Computer VisionTraffic Researcher, Naples, Italy
I work on the traffic-state estimation, computer-vision, and digital-twin methods needed to understand how vehicles actually behave on motorways — from CCTV- and UAV-based vehicle detection, tracking, and re-identification to SUMO/TraCI simulation calibration and AI-based congestion monitoring and decision support.
Currently a Software Operator at CCAMON in Naples, following three years as a Digital Twin Research Fellow at Ce.S.M.A., University of Naples Federico II.
Institutions & Collaborations
Data-driven and physics-informed approaches for estimating and predicting flow, density, and speed under sparse, noisy, or heterogeneous observations.
Intelligent methods for motorway and urban traffic monitoring, congestion analysis, and decision support.
Integrating real-world traffic observations with simulation models such as SUMO/TraCI for calibration, validation, and management applications.
Vehicle detection, tracking, re-identification, trajectory extraction, and lane-level speed estimation from CCTV, UAV, and multi-camera traffic video.
A geometric, sensor-derived alternative to self-reported gap acceptance, validated against CCTV and drone-tracked merges.
Three years as a Digital Twin Research Fellow at Ce.S.M.A., now a Software Operator at CCAMON, applying computer vision and traffic analysis to smart-road deployment across Italy.
Full background & CV →Premio Jacopetti-Tocchetti, Rotary Club Napoli and Distretto Rotary 2101 — plus a competitive CeSMA Research Scholarship for digital-twin research.
See honors & service →