Papers
5
Total Citations
35
H-Index
2
About
Dr. Genda Chen is a leading figure in structural health monitoring and intelligent infrastructure systems, with a career dedicated to revolutionizing how we inspect and preserve aging bridges and steel structures. His research masterfully integrates robotics, deep learning, and advanced sensing technologies to create safer, more efficient inspection methods. A cornerstone of his work is the development of assistive artificial intelligence for bridge inspection, exemplified by his highly cited 2021 paper on a semi-supervised self-training method for segmenting multiclass bridge elements from inspection videos (25 citations). This work addresses the critical challenge of rapidly analyzing vast amounts of visual data collected by mobile robots. Dr. Chen also pioneers the use of distributed fiber optic sensors for quantifying thermal strain in steel structures at high temperatures, a significant contribution to measurement science. His forward-looking research extends to aerial nondestructive testing and evaluation (aNDT&E), exploring how drones can overcome the limitations of manual inspections for long-span bridges. Through these innovations, Dr. Chen is not only advancing academic knowledge but also providing practical, cost-effective solutions that enhance the safety and longevity of critical transportation infrastructure.
Research Focus
Key Achievements
Top Papers
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- 5Aerial Nondestructive Testing and Evaluation (aNDT&E)2 citations · 2023