His research interests lie at the interface between data analysis and theoretical traffic flow modeling. One of the main themes of his research is the development of methods for understanding and quantifying uncertainty in transportation systems. His recent work has focused on the development of real-time traffic analytics, including traffic state estimation, network-wide real-time dynamic control, and incident detection, localization, and sensor placement problems for urban traffic networks. Prior to joining NYUAD, Jabari was a Post-Doctoral Researcher in the Mathematical Sciences and Analytics Department at the IBM Watson Research Center in Yorktown Heights, NY. Jabari received his M.S. and Ph.D. in Civil Engineering from the University of Minnesota, Twin Cities and his B.Sc. degree in Civil Engineering from in the University of Jordan.