Usman Ahmed is a research assistant with the University of Tennessee-Oak Ridge Innovation Institute’s Energy Storage and Transportation Convergent Research Initiative. He also holds an appointment with the University of Tennessee’s Center for Transportation Research. 

His expertise is in Advanced Freight Technologies. Ahmed research interests include freight transportation and logistics, resilient supply-chains, travel behavior modeling, land-use modeling, transportation planning, new vehicle technologies, digital twins, choice modeling, novel data collection methods, data science, and applications of AI and machine learning in transportation systems.

Ahmed has experience in activity-based travel demand modeling, agent-based freight transportation modeling, land-use modeling, firm behavior, pilot studies for last-mile deliveries using new freight vehicles, data collection, and application of machine learning in land-use and transportation modeling.

Ahmed worked as a Postdoctoral Fellow at the City Logistics for the Urban Economy Lab (CLUE) and the Travel Modeling Group (TMG) at the University of Toronto. During his master’s studies, he worked as a Research Assistant at the Travel Behavior Group at the Technical University of Munich. 

Education