Devin K. Harris
Papers
1
Total Citations
147
H-Index
1
About
Devin K. Harris is a leading researcher in structural health monitoring and infrastructure asset management, with a focus on advancing nondestructive evaluation and data-driven condition assessment of civil infrastructure. His work bridges experimental mechanics, machine learning, and materials science to improve the safety and longevity of bridges, pavements, and other critical structures. Harris is best known for pioneering robust deep learning approaches for automated crack detection in diverse materials, as demonstrated in his highly cited 2020 paper (147 citations), which addresses a key challenge in real-world infrastructure monitoring: model generalizability across concrete, asphalt, and steel surfaces. Beyond this, his contributions include developing probabilistic methods for corrosion detection, integrating sensor data with finite element models, and creating performance-based inspection protocols. His research has been funded by the National Science Foundation, the Virginia Department of Transportation, and the Federal Highway Administration. Harris is also recognized for his mentorship and leadership in the American Society of Civil Engineers' Infrastructure Resilience Division, and his work has directly influenced inspection standards and maintenance strategies for aging transportation networks.
Research Focus
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Top Papers
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