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About

Hesam Hamledari is a pioneering researcher at the intersection of construction technology, computer vision, and emerging digital systems. His work focuses on automating construction monitoring and management through robotics, unmanned aerial vehicles (UAVs), building information modeling (BIM), and blockchain technology. Hamledari has made significant contributions to how the construction industry captures, processes, and acts on real-time site data. His highly cited 2021 study on blockchain-enabled smart contracts for construction payment automation (227 citations) demonstrates his ability to bridge cutting-edge financial technology with practical industry workflows. Equally influential is his 2016 work on automated computer vision-based detection of indoor partition components (203 citations), which established a foundational framework for intelligent progress monitoring. Through projects like InPRO and his investigations into UAV applications for indoor construction environments, Hamledari has addressed the often-overlooked challenge of autonomous data collection in complex interior spaces. His UAV-to-BIM pipeline research further advances the seamless integration of as-built conditions into digital models. With nearly 530 citations across his key works, Hamledari's research continues to shape the future of smart, automated, and transparent construction project delivery.