Osama A. Osman

Dr. Osman is the Assistant Professor of Intelligent Transportation Systems and Data Analytics in the Department of Civil and Chemical Engineering (CCE) at the University of Tennessee at Chattanooga (UTC).  Prior to joining UTC, he was a research faculty at the Center for Sustainable Mobility at Virginia Tech Transportation Institute (VTTI).  He holds a PhD degree from Louisiana State University on the User and System Characteristics of Connected Vehicle Technology. He received his B.S and M.S. degrees in Civil Engineering with focus on Transportation Engineering and Traffic Flow Modeling in 2006 and 2010, respectively.  He is the Chair of the Communications Subcommittee and Research Coordinator of the Transportation Research Board Standing Committee on Artificial Intelligence and Advanced Computing Applications.

His research interests span intelligent transportation systems, traffic operation and control, connected vehicle (CV) and connected autonomous vehicle (CAV) technologies, computer and human-in-the-loop simulation, traffic safety and human factors, and application of artificial intelligence, machine learning, and deep learning in transportation. Particularly, his research focuses on mathematical and simulation modeling and analysis of CV and CAV environments, application of advanced modeling and data analytics techniques for traffic control and congestion management, developing machine learning and deep learning algorithms for detection and prediction of risky driving behavior, and investigation of impact of emerging vehicular technologies and smart mobility on mobility, energy, and behavioral safety. He authored or co-authored over 60 publications in peer-reviewed journals, national and international conference proceedings, technical reports, and a book chapter.  He is also the recipient of the 2020 best paper award on User Information Systems from the Transportation Research Board of the National Academies of Sciences.