Hien Van Nguyen
Papers
1
Total Citations
54
H-Index
1
About
Hien Van Nguyen is a leading researcher in structural health monitoring and robotic sensing, with a focus on developing innovative methods for detecting damage in large-scale spatial structures. His most-cited work introduces a novel robotic-assisted percussion method for identifying loose bolt-ball joints—a critical issue in stadiums, exhibition halls, and other long-span structures where connection failures can lead to catastrophic collapse. By integrating robotic manipulation with acoustic signal analysis, Nguyen’s approach enables automated, non-destructive inspection of hard-to-reach joints, significantly improving safety and reducing reliance on manual checks. His research has garnered over 50 citations, reflecting its impact on both civil engineering and robotics communities. Beyond this flagship study, Nguyen’s broader contributions include sensor-based condition assessment and machine learning for structural diagnostics. His work not only advances theoretical understanding of vibration-based damage detection but also offers practical, deployable solutions for real-world infrastructure maintenance. For students and researchers, Nguyen exemplifies how cross-disciplinary thinking—combining robotics, signal processing, and structural mechanics—can address pressing engineering challenges with measurable societal benefit.
Research Focus
Key Achievements
Top Papers
- 1