Mehrdad Arashpour
Papers
8
Total Citations
163
H-Index
6
About
Mehrdad Arashpour is a leading researcher at the intersection of construction engineering, robotics, and artificial intelligence, whose work is redefining how buildings and infrastructure are designed, built, and deconstructed. His core research areas include automation and robotics for construction, off-site prefabrication, and intelligent waste management. Arashpour’s major contributions span from foundational reviews—his 2020 integrated review of automation and robotic technologies for structural prefabrication has garnered 82 citations, establishing a key reference for the field—to cutting-edge applications like real-time instance segmentation of recyclables from highly cluttered construction and demolition waste streams (17 citations). He has pioneered shape-aware computer vision methods (ShARP-WasteSeg, 10 citations) and back-stepping control of delta parallel robots for construction tasks (31 citations), directly addressing the challenges of efficiency, accuracy, and safety on site. His work on BIM-enabled railway infrastructure and critical reviews of crane load handover and curtain wall installation further demonstrate his breadth. With a growing citation impact and a focus on deploying AI-driven robotic sorting and automation, Arashpour is shaping a future where construction is smarter, safer, and more sustainable.
Research Focus
Key Achievements
Top Papers
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- 6Critical Review of Load Handover in Construction Cranes7 citations · 2025
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