Papers
1
Total Citations
3
H-Index
1
About
Kewei Dong is a rising researcher at the intersection of construction engineering, Building Information Modeling (BIM), and computer vision. Their primary research focus is on automating construction progress monitoring—a critical factor in controlling project timelines, costs, and quality. While much prior work has concentrated on in-process monitoring by comparing point clouds to BIM models, Dong’s key contribution lies in pioneering *after-process* monitoring systems. Their most cited work, "Robot-Assisted After-Process Progress-Monitoring System Based on BIM and Computer Vision" (2023), introduces a novel framework that leverages robotic platforms and computer vision to detect and verify completed work stages, addressing a significant gap in post-construction verification. Although early in their career, with this paper already accumulating 3 citations, Dong is establishing a reputation for practical, automated solutions that reduce human error and enhance efficiency on construction sites. Their work promises to streamline project handovers and improve accountability, marking them as an emerging voice in smart construction and digital twin technologies.
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Top Papers
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