Kisu Ok
Papers
1
Total Citations
2
H-Index
1
About
Kisu Ok is a rising researcher in aviation safety and intelligent transportation systems, with a focus on automated hazard detection and operational risk mitigation. Their most-cited work, "Enhancing Aviation Safety: An Automated System for FOD Detection and Removal in Support Vehicle Tires" (2024), introduces a novel integration of advanced image processing and machine learning algorithms to detect Foreign Object Debris (FOD) embedded in vehicle tires—a critical yet underexplored threat to runway safety. This contribution addresses a pressing gap in airport ground operations, offering a scalable, real-time solution that reduces human error and enhances preventive maintenance. With 2 citations to date, Ok’s work is gaining traction among practitioners and researchers seeking to modernize aviation infrastructure. Their research demonstrates a clear trajectory toward applied, data-driven safety systems, positioning them as a promising voice in the intersection of computer vision and transportation engineering. For students and researchers, Ok’s work exemplifies how targeted, problem-oriented research can yield practical, high-impact innovations in safety-critical domains.
Research Focus
Key Achievements
Top Papers
- 1