Aohui Ouyang
Papers
2
Total Citations
35
H-Index
2
About
Aohui Ouyang is a leading researcher in structural health monitoring, with a focused expertise in automated infrastructure assessment for large-scale underground facilities. His work centers on developing pixel-level, computer vision-based crack detection systems that enable precise, non-invasive monitoring of concrete tunnel linings. Ouyang’s major contribution is the creation of an automated monitoring framework that identifies and tracks crack spatial distribution over time, providing early warning of structural degradation before it escalates into severe serviceability damage. His most cited paper, “Automated pixel-level crack monitoring system for large-scale underground infrastructure – A case study at CERN” (2023), has garnered 31 citations, underscoring its impact in both civil engineering and particle physics infrastructure communities. By applying this system to the CERN tunnel network, Ouyang demonstrated its real-world utility for long-term structural behavior analysis and proactive maintenance. His work bridges computer vision, geotechnical engineering, and asset management, offering a scalable solution for aging underground assets. Ouyang’s research is pivotal for ensuring the safety and longevity of critical infrastructure, making him a key figure in the evolution of smart monitoring systems.
Research Focus
Key Achievements
Top Papers
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- 2