Ki-Deok Kim
Papers
1
Total Citations
95
H-Index
1
About
Ki-Deok Kim is a leading figure in structural health monitoring, with a primary focus on the nondestructive evaluation of civil infrastructure. His research centers on developing advanced, image-based techniques for detecting surface damage in critical bridge components, particularly the cables of cable-stayed bridges. Kim’s most influential work, "An efficient image-based damage detection for cable surface in cable-stayed bridges" (2013), has garnered 95 citations, establishing a foundational method for automated visual inspection. This contribution is notable for its practical efficiency, enabling rapid and accurate identification of corrosion, cracks, and other surface defects without direct contact, thereby enhancing bridge safety and reducing maintenance costs. His approach integrates computer vision with structural engineering, offering a scalable solution for aging infrastructure. Kim’s work has been widely adopted in subsequent studies on remote sensing and deep learning for infrastructure assessment, marking him as a key innovator in the transition from manual to automated inspection systems. His achievements underscore a commitment to translating research into real-world applications for resilient and sustainable infrastructure.
Research Focus
Key Achievements
Top Papers
- 1