Haonan Jiang
Papers
1
Total Citations
2
H-Index
1
About
Dr. Haonan Jiang is at the forefront of integrating robotics with non-destructive evaluation, specializing in autonomous infrastructure inspection and advanced ground-penetrating radar (GPR) technologies. His primary research focuses on developing intelligent robotic systems for subsurface defect detection, coupled with deep learning methodologies for automated data analysis. Jiang’s most notable contribution is the creation of a fully autonomous robotic GPR inspection system, paired with an unsupervised deep neural network for reconstructing abnormal traces in radar data. This work, published in 2025, directly addresses the critical challenge of automating high-quality data collection from complex infrastructure, eliminating the need for manual control. Although early in its citation lifecycle, this pioneering paper (2 citations) lays the groundwork for a new paradigm in structural health monitoring. By fusing robotics with unsupervised learning, Jiang’s research promises to make infrastructure inspection faster, safer, and more reliable, significantly reducing human error and operational costs. His work represents a vital step toward fully autonomous, AI-driven maintenance of critical civil assets.
Research Focus
Key Achievements
Top Papers
- 1