Ehsan Mohseni
Papers
19
Total Citations
489
H-Index
13
About
Ehsan Mohseni is a leading researcher in non-destructive evaluation (NDE) and testing (NDT), with particular expertise in ultrasonic inspection, eddy current methods, and the integration of automated robotic systems into advanced manufacturing processes. His work sits at the critical intersection of additive manufacturing, welding technology, and real-time quality assurance, addressing one of modern industry's most pressing challenges: detecting defects as they form, rather than after costly fabrication is complete. Mohseni's most influential contributions include pioneering in-process ultrasonic phased array inspection of Wire + Arc Additive Manufactured components (78 citations) and developing roller probe and robotic NDE systems that enable interpass weld inspection before defects become buried and expensive to remediate. His sensor-enabled multi-robot welding and inspection platform (46 citations) directly addresses Industry 4.0 demands for intelligent, automated manufacturing. He has also advanced eddy current crack detection for steel and nuclear asset inspection, and more recently applied machine learning to interpret phased array ultrasonic data for carbon fibre composites. With over 400 cumulative citations across his top works, Mohseni's research has meaningfully shaped how industry approaches quality control in safety-critical sectors including aerospace, nuclear, and advanced manufacturing, making him a compelling figure for anyone working at the frontier of smart manufacturing and structural integrity.
Research Focus
Key Achievements
Top Papers
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- 4A Study of the Automated Eddy Current Detection of Cracks in Steel Plates44 citations · 2019
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- 7Automated Real-Time Eddy Current Array Inspection of Nuclear Assets31 citations · 2022
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