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Ehsan Azar is an Assistant Professor in the Department of Architectural Science at Toronto Metropolitan University. He holds a Bachelor of Science from K. N. Toosi University of Technology, a Master of Science from the University of Tehran, and a PhD from the University of Toronto. Azar's expertise lies in computer vision-based data collection, artificial intelligence applications in the built environment, project management, and data-driven infrastructure asset management. His research focuses on developing new machine learning systems to enhance the construction industry's productivity, sustainability, and safety. He specializes in Building Information Modeling (BIM) applications and uses computer vision methods to extract useful data from on-site cameras and drones. Azar’s work emphasizes the importance of high-quality data for informed decision-making in construction management. He aims to support project-based learning and equip students with the skills to utilize cutting-edge technologies in real-world scenarios, particularly in construction and infrastructure data analytics.
Culham Construction Co. • Canada
Managed and controlled project planning activities and supported construction projects with effective planning and resource allocation.
Department of Chemical Engineering