Nuno Antunes Ribeiro
Papers
1
Total Citations
9
H-Index
1
About
Nuno Antunes Ribeiro is a leading researcher at the intersection of computer vision and aviation safety, with a particular focus on automating defect detection in aircraft maintenance. His most-cited work, "Advances in Aircraft Skin Defect Detection Using Computer Vision," has already garnered 9 citations since its publication in 2025, reflecting the timely importance of his contributions. Ribeiro's research systematically evaluates state-of-the-art object detection models—including YOLOv9 and RT-DETR—for identifying critical surface defects on aircraft skins, a task traditionally reliant on manual visual inspection. By benchmarking these algorithms, he provides a comprehensive roadmap for transitioning from human-dependent quality control to reliable, automated systems that enhance both safety and efficiency. His work bridges a crucial gap between cutting-edge AI and practical aerospace engineering, offering actionable insights for maintenance crews and engineers. Ribeiro’s contributions are particularly notable for their potential to reduce human error, lower inspection costs, and accelerate turnaround times in aviation maintenance. As the field of computer vision continues to evolve, his research stands as a foundational reference for anyone seeking to deploy deep learning in high-stakes industrial settings.
Research Focus
Key Achievements
Top Papers
- 1