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Mohamed M. Ahmed, PhD PE

Interim Department Head
University of Cincinnati
Cincinnati, OH, United States

Dr. Mohamed M Ahmed, PE is the Professor and Interim Department Head of the Department of Civil and Architectural Engineering and Construction Management Transportation Center at the University of Cincinnati (UC). Dr. Ahmed has over 23 years of practical and research experience in the field of transportation engineering with a focus on traffic safety and transportation emerging technologies. His research interests include traffic safety analysis, Intelligent Transportation Systems (ITS), Connected and Automated Vehicles, Naturalistic Driving, and statistical and big data analytics. Dr. Ahmed has managed 32 research projects sponsored by a diversity of national and regional funding sources including the US-Department of Transportation (USDOT) - the Federal Highway Administration (FHWA), and the National Institutes of Health (NIH), among others with a total budget of more than $12 million (~$5 million share). Dr. Ahmed has published more than 350 high-profile scientific articles and technical reports, (Citations ~8600, h-Index 50). He supervised to graduation of 29 PhD and MS students and currently advising 5 PhD, MS students, and Postdoctoral Associates. Dr. Ahmed is a leading traffic safety expert at both the national and international levels. He is an editorial board member of the Journal of Accident Analysis and Prevention, a member of the Transportation Research Board’s (TRB) committees on Safety Data Analysis and Evaluation, and Transportation of HAZMAT, and a member of the American Society of Civil Engineering (ASCE) committee on Surrogate Measures of Safety.
Dr. Ahmed’s research develops models, techniques, and algorithms that can contribute to and improve the safety of human drivers and self-driving vehicles. Early on, his research on collision modeling and evaluation focused on applying Bayesian statistics to improve the predictive power and fit of existing safety models, as well as to address several key data and methodological issues. His work on speed management utilizing the Second Strategic Highway Research Program (SHRP2) Naturalistic Driving Study datasets focused on understanding driver behavior, risks, and factors that influence speeding among other driver behaviors in various traffic and environmental conditions, and updating Variable Speed Limit algorithms and other Intelligent Transportation Systems to increase compliance with speed limits and improve safety. Moreover, he developed novel real-time risk assessment approaches to help ease traffic congestion and reduce crash rates on high-speed facilities. He and his students have received multiple research awards from the TRB (multiple Best Paper Awards), IATSS (Best Paper Award), ITE (Best Student of the Year), ITS Florida, and the College of Engineering & Computer Science Research and Teaching awards at UCF, among others.

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