About me
Dr. Majidifard’s project experience includes the development and deployment of machine learning techniques to evaluate pavement and infrastructure conditions, rating, and roughness. He has undertaken several projects to develop programming approaches that utilize machine learning techniques to forecast low and high-temperature asphalt mixture performance properties. He has also applied deep learning techniques to create a highly automated pavement evaluation and monitoring system, following ASTM procedures. A full software suite has also been developed, which allows seamless integration of collected data and condition ratings into visualization software and client-specific GIS platforms.
