Papers
1
Total Citations
21
H-Index
1
About
Fayiz Amin is an emerging researcher at the forefront of construction automation and digital twin technologies. His work focuses on integrating Building Information Modeling (BIM) with the Internet of Things (IoT) and autonomous robotics to revolutionize construction site operations. In his most-cited paper, "Integrating BIM–IoT and Autonomous Mobile Robots for Construction Site Layout Printing" (2023, 21 citations), Amin addresses a critical industry challenge: the inaccuracy of manual layout marking. He proposes a novel framework that uses autonomous mobile robots to print layouts directly from BIM models, eliminating human error and bridging the gap between digital blueprints and physical construction. This contribution has significant implications for reducing rework, costs, and project delays. Though early in his career, Amin’s work is gaining traction for its practical, technology-driven solutions to long-standing construction inefficiencies. His research sits at the intersection of robotics, data integration, and smart construction, positioning him as a promising voice in the push toward fully automated, data-rich building sites.
Research Focus
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Top Papers
- 1