Dr. Mohamed S. Yamany is an Assistant Professor of Construction Engineering & Management at East Texas A&M University. His research leverages emerging technologies—such as AI (machine learning and deep learning), virtual reality, BIM, and drones—to improve the management of construction projects and civil infrastructure assets. He focuses on automating construction job-site monitoring to enhance project performance, reliability, and overall success. His work also advances automated condition assessment and decision-support methods for optimal allocation of limited resources across infrastructure networks, ultimately strengthening the sustainability of civil infrastructure systems.
Texas A&M University – Commerce
Commerce, California, USA
Engineering and Technology
Best Poster Award (2025)
Transportation Research Board (TRB), Construction Management Committee
Outstanding Reviewer Award (2022)
ASCE Journal of Infrastructure Systems
Best Poster Award (2022)
Iowa State University
Best Poster Award (2020)
Transportation Research Board (TRB), Pavement Management Systems Committee
Best Presentation Award (2019)
Annual Inter-University Symposium on Infrastructure Management (AISIM)
Most Cited Paper in 2022 and 2023
ASCE Journal of Transportation Engineering, Part B: Pavements