Prateek Prasanna
Papers
2
Total Citations
463
H-Index
2
About
Dr. Prateek Prasanna is a leading researcher in structural health monitoring and computer vision, with a focus on automated infrastructure assessment. His work bridges civil engineering and artificial intelligence to improve the safety and longevity of critical structures like concrete bridges. Dr. Prasanna’s most impactful contribution is the development of the STRUM (Spatially Tuned Robust Multifeature) algorithm, introduced in his highly cited 2014 paper "Automated Crack Detection on Concrete Bridges," which has garnered 461 citations. This algorithm enables automated, on-site crack detection from robotic imaging, revolutionizing traditional inspection methods that rely on manual visual assessment. By integrating computer vision techniques, his research facilitates early detection of surface deterioration, preventing further structural damage and enhancing maintenance efficiency. While his earlier 2013 work on computer vision for bridge deck evaluation has fewer citations, it laid foundational groundwork for his later breakthroughs. Dr. Prasanna’s innovations are vital for modernizing infrastructure monitoring, reducing human error, and enabling cost-effective, data-driven safety inspections. His work continues to influence both academic research and practical applications in civil engineering and robotics.
Research Focus
Key Achievements
Top Papers
- 1Automated Crack Detection on Concrete Bridges461 citations · 2014
- 2