Ehsan Rezazadeh Azar
Papers
2
Total Citations
93
H-Index
2
About
Ehsan Rezazadeh Azar is a leading researcher at the intersection of construction engineering, robotics, and computer vision, with a primary focus on automating data capture and quality control in built environments. His work addresses a critical gap in the construction industry: the challenge of integrating real-world site conditions into digital models, particularly for indoor and complex spaces. Azar’s most cited paper, “Roles, Benefits, and Challenges of Using UAVs for Indoor Smart Construction Applications” (2017, 61 citations), provides a foundational framework for deploying unmanned aerial vehicles (UAVs) inside buildings—a domain often overlooked in favor of outdoor applications. He systematically identifies the technical and operational hurdles, from navigation in GPS-denied environments to data accuracy, while highlighting the transformative potential for progress monitoring and documentation. Building on this, his 2018 paper (32 citations) pioneers a “UAV-Enabled Site-to-BIM Automation” pipeline, using aerial robotics and computer vision to generate as-built Building Information Models (BIMs) for quality control. This work directly tackles the persistent challenge of automating reality capture, offering a scalable solution for facility inspection. With over 90 combined citations, Azar’s contributions are shaping how the construction industry adopts smart, autonomous technologies to bridge the physical-digital divide, making him a key voice in modern construction informatics.
Research Focus
Key Achievements
Top Papers
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