Hongkuan Ma
Papers
1
Total Citations
8
H-Index
1
About
Hongkuan Ma is a leading researcher in the field of robotic structural health monitoring, with a primary focus on underwater infrastructure inspection and damage detection. His most notable contribution is the development of YOLOX-DG robotic detection systems for large-scale underwater concrete structures, a groundbreaking approach that replaces traditional, inefficient manual identification methods with automated, intelligent robotics. This work, published in 2024 and already garnering 8 citations, addresses critical challenges in assessing structural damage in complex underwater environments, significantly improving both accuracy and efficiency. Ma’s research lies at the intersection of computer vision, deep learning, and civil engineering, offering practical solutions for maintaining aging marine and hydraulic infrastructure. His achievements highlight a commitment to advancing real-world applications of AI-driven robotics, making him a key figure in modern infrastructure safety and maintenance.
Research Focus
Key Achievements
Top Papers
- 1