Numan Khan
Papers
1
Total Citations
13
H-Index
1
About
Dr. Numan Khan is a leading researcher at the intersection of construction safety and artificial intelligence, with a primary focus on developing computer vision-based monitoring systems for hazardous jobsites. His most-cited work, "Rigorous analysis of safety rules for vision intelligence-based monitoring at construction jobsites" (2021, 13 citations), provides a foundational framework for translating complex safety regulations into machine-interpretable rules, enabling automated compliance monitoring. This contribution addresses a critical gap in the field: while many researchers pursue vision-based safety systems, Khan’s rigorous analysis ensures these technologies are both practical and reliable for real-world application. His research has significant implications for reducing accidents and fatalities in construction, a sector where manual monitoring often falls short. By bridging the gap between rule-based safety protocols and AI-driven visual intelligence, Khan’s work has been instrumental in advancing the maturity of automated safety systems. His achievements highlight a commitment to making construction sites safer through innovative, data-driven solutions, earning him recognition among peers and practitioners alike.
Research Focus
Key Achievements
Top Papers
- 1