Paul Scheunders

Direction Générale de l'Armement, iMinds

Papers

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About

Paul Scheunders is a leading figure in the field of intelligent vision systems and hyperspectral imaging, with a particular focus on non-destructive material characterization. His research bridges advanced computational techniques and practical applications in structural health monitoring. Scheunders is best known for pioneering the use of hyperspectral imaging in the short-wave infrared (SWIR) range to detect and characterize corrosion on carbon steel—a critical contribution to infrastructure safety. His 2022 study on this topic, cited 5 times, demonstrated that SWIR hyperspectral imaging can identify corrosion products without physical contact, offering a safer, faster alternative to traditional in-situ methods. This work addresses a major challenge in civil engineering, where undetected corrosion can lead to catastrophic structural failure. His earlier highly-cited work (24 citations) on advanced concepts for intelligent vision systems further underscores his expertise in developing sophisticated image analysis algorithms. Through this research, Scheunders has established himself as a key innovator in applying computer vision to solve real-world industrial problems, making significant strides in non-invasive monitoring techniques that enhance both safety and efficiency.