Jin-Hwan Lee

Korea Advanced Institute of Science and Technology

Papers

Total Citations

H-Index

About

Jin-Hwan Lee is a pioneering researcher at the intersection of civil infrastructure monitoring and advanced automation, whose work is transforming how we assess the safety of aging bridges and industrial systems. His most impactful contribution lies in developing an innovative, automated bridge inspection system that integrates unmanned aerial vehicles (UAVs) with deep convolutional neural networks. This approach, detailed in his highly cited 2020 paper (66 citations), replaces subjective, labor-intensive manual inspections with objective, quantifiable damage detection and localization, significantly reducing both time and human risk. Lee’s expertise also extends to semiconductor manufacturing automation, where he advanced inter-module communication protocols for cluster tools, enhancing the coordination of distributed robot and processing modules. By bridging the gap between computer vision, robotics, and structural engineering, Lee’s work provides a scalable, data-driven solution for critical infrastructure maintenance. His research not only demonstrates high practical impact but also sets a new standard for integrating AI with real-world engineering challenges, making him a key figure in the future of smart infrastructure management.