Chenjie Zhang
Papers
1
Total Citations
8
H-Index
1
About
Chenjie Zhang is a leading researcher in the field of intelligent structural health monitoring, with a primary focus on developing automated, robotic systems for the inspection of large-scale underwater concrete infrastructure. Zhang’s most impactful contribution is the pioneering work on the YOLOX-DG robotic detection system, which addresses the critical inefficiencies and inaccuracies of traditional manual identification methods for structural damage in complex underwater environments. This innovative system, detailed in a 2024 publication that has already garnered 8 citations, represents a significant leap forward by integrating deep learning-based object detection with robotic platforms, enabling real-time, precise, and autonomous damage assessment. By replacing hazardous and labor-intensive manual inspections, Zhang’s research directly enhances the safety, reliability, and longevity of vital underwater structures such as bridges, dams, and port facilities. This work not only demonstrates a high potential for practical application but also establishes Zhang as a key figure in the convergence of robotics and civil engineering, promising to transform maintenance protocols in the marine and construction industries.
Research Focus
Key Achievements
Top Papers
- 1