Nahyae Hwang
Papers
1
Total Citations
70
H-Index
1
About
Nahyeon Hwang is a leading researcher in structural health monitoring and robotic maintenance systems for civil infrastructure, with a particular focus on steel bridges. Her most-cited work, "Rapid and automated determination of rusted surface areas of a steel bridge for robotic maintenance systems" (2014, 70 citations), pioneered a computer vision-based approach to quantify corrosion damage, enabling autonomous inspection and repair. This contribution directly addresses the critical need for efficient, non-destructive evaluation of aging infrastructure, reducing human risk and downtime. Hwang’s research integrates image processing, machine learning, and robotics to automate condition assessment, with implications for extending the service life of bridges and other steel structures. Her work has been instrumental in advancing the field of intelligent maintenance systems, earning recognition for its practical impact on infrastructure safety and cost-effectiveness. By bridging the gap between structural engineering and robotics, Hwang continues to shape the future of resilient, self-maintaining infrastructure systems.
Research Focus
Key Achievements
Top Papers
- 1