Ehsan Rezazadeh Azar
Assistant Professor Faculty of Engineering and Architectural Science Department of Architectural Science Toronto, Ontario ehsan.azar@torontomu.ca
Expert In
AI systems
Artificial intelligence applications built environment
Automated data collection in construction
Building information modeling
Computer Vision-based Data Collection in Construction
Construction automation
Construction engineering
Data-driven infrastructure asset management
Digital twins
IT in project management
Strategic Area: Digital Twins
Theme: Transformative technology
Bio/Research
While other kids asked to go to playgrounds, Ehsan Azar begged his dad to take him to construction sites so he could watch the trucks, loaders and bulldozers in operation. “Everything about construction was exciting to me,” said Azar. Pursuing education and employment in civil engineering and con...
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Bio/Research
While other kids asked to go to playgrounds, Ehsan Azar begged his dad to take him to construction sites so he could watch the trucks, loaders and bulldozers in operation. “Everything about construction was exciting to me,” said Azar. Pursuing education and employment in civil engineering and construction project management, including working on two massive earth-fill dam projects, allowed Azar to follow his passion and satisfy his desire to make positive changes within the construction industry.
“My background experience has enabled me to identify many areas within construction projects that need improvement,” said Azar, “including lags in developing and implementing technology.” Azar’s research strives to address these issues by testing and developing new machine learning systems that help make the construction industry more productive, sustainable and safe. His focus is on Building Information Modeling (BIM) and applications of computer vision methods in the construction site. In particular, he conducts research projects to extract useful data from on-site cameras and drones automatically.
“Good quality data helps project managers make informed decisions. Information technology and Artificial Intelligence methods in the built environment offer possibilities for improving both the construction process as well as the operation of existing infrastructure.”
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“My background experience has enabled me to identify many areas within construction projects that need improvement,” said Azar, “including lags in developing and implementing technology.” Azar’s research strives to address these issues by testing and developing new machine learning systems that help make the construction industry more productive, sustainable and safe. His focus is on Building Information Modeling (BIM) and applications of computer vision methods in the construction site. In particular, he conducts research projects to extract useful data from on-site cameras and drones automatically.
“Good quality data helps project managers make informed decisions. Information technology and Artificial Intelligence methods in the built environment offer possibilities for improving both the construction process as well as the operation of existing infrastructure.”
Click to Shrink <<