Majbah Uddin

Dr. Majbah Uddin is a R&D staff member in the Transportation Analytics and Decision Sciences group at the Oak Ridge National Laboratory.  He specializes in research related to freight and passenger transportation and is currently leading teams working on several projects.

Dr. Uddin’s areas of expertise include travel behavior analysis, freight transportation data and planning, transportation data analytics, estimation of fuel consumption in the transportation sector, applications of machine learning methods in transportation and logistics, supply chain analysis, and operations research. His research works have been funded by the Department of Energy, Federal Highway Administration and Bureau of Transportation Statistics of the US Department of Transportation, New York State Department of Transportation, and ORNL Laboratory Directed Research & Development.

To date, Dr. Uddin has published 24 journal articles (17 first-authored), 7 conference proceeding papers, two book chapters, and more than 50 technical reports on various topics covering transportation and systems engineering. He received a most cited article award and a best paper award for two journal articles separately.

Dr. Uddin is serving as a member of Transportation Research Board (TRB) Standing Committee on Freight Rail Transportation and Supply Chain Reliability. Dr. Uddin is also a member of two American Society of Civil Engineers (ASCE) Transportation & Development Institute committees—Artificial Intelligence in Transportation and Freight & Logistics. He has been serving as a technical reviewer for more than 20 journals and conferences and has reviewed over 200 papers.

Dr. Uddin received his PhD and MS degrees in civil engineering and his master’s degree in applied statistics from the University of South Carolina; and his BS degree in civil engineering from Bangladesh University of Engineering and Technology.