Tamer El-Diraby

Tamer El-Diraby is a Professor in the Department of Civil & Mineral Engineering at the University of Toronto. His research focuses on Building Engineering and Construction Management, with an emphasis on informatics systems, knowledge management, and sustainable urban development. His work explores the use of machine learning, data management, and semantic modeling to enhance construction project management and support the development of smart cities. He is affiliated with several university networks, including the U of T Data Sciences Institute and the University of Toronto Transportation Research Institute. His research interests include construction project management, informatics and knowledge management, infrastructure asset management, and building information modeling (BIM).

Tamer El-Diraby is a researcher at the University of Toronto with expertise in construction management, social networks, semantic systems, BIM, and asset management. His work focuses on integrating information technology into construction processes, emphasizing knowledge management, data analytics, and semantic frameworks. El-Diraby has explored the application of ontologies and machine learning in infrastructure asset management, particularly for predicting pavement conditions and optimizing construction knowledge. His research also addresses socio-technical analytics, collaborative design, and the impact of climate change on infrastructure. Through projects like e-COGNOS, he has contributed to developing ontology-enabled IT solutions for construction knowledge management.