Ayoub Ridani
Papers
1
Total Citations
3
H-Index
1
About
Ayoub Ridani is a researcher at the forefront of robotic non-destructive evaluation (NDE), specializing in the ultrasonic inspection of large-scale metal structures. His work bridges robotics and structural health monitoring, focusing on how autonomous systems can map and assess critical infrastructure like storage tanks and ship hulls. Ridani’s major contribution is a novel framework that fuses grid-based and feature-based mapping using ultrasonic guided waves. This approach allows robots to simultaneously reconstruct spatial layouts and detect structural features—such as welds or defects—from echo data alone, enabling more intelligent and autonomous inspection. His most-cited paper, "Combined Grid and Feature-based Mapping of Metal Structures with Ultrasonic Guided Waves" (2022), has garnered 3 citations, reflecting its foundational role in this emerging field. By integrating sensing and mapping, Ridani’s work addresses a key bottleneck in robotic NDE: the need for accurate, real-time environmental models without relying on external positioning systems. His research is paving the way for safer, more efficient inspection of aging industrial assets, with implications for maintenance, safety, and automation in heavy industry.
Research Focus
Key Achievements
Top Papers
- 1