Saif Eddin Jabari

Saif Eddin Jabari is an Associate Professor in the Civil Engineering department at New York University. His research interests focus on theoretical aspects of traffic flow, particularly modeling uncertainty and emergent phenomena, with applications in traffic operations, including state estimation, prediction, distributed control, and cybersecurity. Prior to joining NYU, Jabari was a Post-Doctoral Researcher at IBM T.J. Watson Research Center. He holds a Ph.D. in Civil Engineering from the University of Minnesota and a B.Sc. in Civil Engineering from the University of Jordan.

Saif Eddin Jabari is a researcher at New York University Abu Dhabi, focusing on traffic data analysis, stochastic traffic flow, and traffic operations and control. His work explores the impact of automated vehicles on traffic stability, develops stochastic models for traffic flow, and investigates control strategies for urban networks. Jabari's research includes deep learning methods for traffic speed estimation, backpressure control for traffic management, and probabilistic models for traffic dynamics. He also examines congestion control, lane-changing strategies, and data imputation techniques for traffic systems. His studies aim to improve traffic operations through data-driven and stochastic modeling approaches.