Mohammed Jahanshahi

Papers

Total Citations

H-Index

About

Mohammed Jahanshahi is a leading figure in the field of Structural Health Monitoring (SHM), where his work bridges robotics, computer vision, and non-destructive evaluation to ensure the safety and longevity of critical infrastructure. His research focuses on developing autonomous inspection systems that can detect and assess damage in complex civil and mechanical structures, moving beyond traditional manual methods. A key contribution is his pioneering work on hierarchical inspection systems, exemplified by his 2018 paper on integrating visual and Magnetic Flux Leakage (MFL) probe robots. This approach combines the strengths of different sensing modalities—visual data for surface defects and MFL for subsurface flaws—to create a more comprehensive and reliable damage detection framework. While his most cited work has garnered 3 citations, its conceptual foundation is vital for advancing multi-robot, multi-sensor SHM strategies. Jahanshahi’s research is particularly impactful for modern civil architectures, including high-rise buildings and complex designs, where automated, accurate inspection is paramount. His work is essential reading for engineers and researchers seeking to deploy intelligent robotic systems for infrastructure health assessment.