Naima Ait-Oufroukh

Papers

Total Citations

H-Index

About

Naima Ait-Oufroukh is a researcher whose work centers on aviation safety, autonomous systems, and computer vision. Her most cited paper, "Automated Foreign Object Debris Detection System based on UAV" (2022, 5 citations), addresses a critical challenge in airport operations: the detection of Foreign Object Debris (FOD)—any object on an airfield that poses a risk to aircraft and personnel. In this study, she proposes an innovative solution using unmanned aerial vehicles (UAVs) equipped with automated detection algorithms, moving beyond traditional manual inspection methods to enhance speed and reliability. This contribution is particularly notable for its potential to reduce accident risks and operational delays in aviation. While her citation count is still growing, the work demonstrates a clear focus on applying cutting-edge technology to real-world safety problems. Ait-Oufroukh’s research sits at the intersection of robotics, image processing, and transportation safety, offering a practical pathway toward smarter, more resilient airport infrastructure. Her approach reflects a commitment to leveraging autonomous systems for high-stakes environments, making her a promising voice in the field of aviation safety engineering.