Amir Ibrahim
Papers
5
Total Citations
181
H-Index
4
About
Dr. Amir Ibrahim is a leading researcher at the intersection of civil engineering, robotics, and computer vision, with a primary focus on automating infrastructure inspection and construction monitoring. His most impactful work, "Bridge Inspection with Aerial Robots" (113 citations), pioneers an end-to-end pipeline that integrates drone-based visual data capture, 3D mapping, and automated defect detection—transforming how aging highway structures are assessed for safety. Dr. Ibrahim also advances construction progress monitoring through BIM-driven mission planning for robotic platforms, enabling autonomous indoor navigation and reality capture. His research on interactive, model-driven path planning for aerial robots on construction sites (18 citations) has laid groundwork for safer, more efficient site surveys. More recently, he explores reinforcement learning to enhance high-quality 3D mapping from unmanned ground vehicles. Notably, his contributions extend to national initiatives, including a Japanese-led project on bridge inspection using aerial robots and computer vision. With a growing citation record and a clear trajectory toward fully autonomous infrastructure assessment, Dr. Ibrahim’s work is shaping the future of resilient, data-driven civil infrastructure management.
Research Focus
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Top Papers
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