Chadi M'Sila

Papers

Total Citations

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About

Chadi M'Sila is a researcher focused on advancing aviation safety through intelligent automation and unmanned aerial vehicle (UAV) technology. His primary research areas include foreign object debris (FOD) detection, autonomous surveillance systems, and the integration of computer vision with drone-based monitoring. M'Sila’s most notable contribution is the development of an "Automated Foreign Object Debris Detection System based on UAV," which addresses the critical risk posed by stray objects on airport runways—ranging from tools to aircraft components—that can cause severe damage to aircraft and endanger personnel. This work, published in 2022 and garnering 5 citations, proposes a scalable, real-time solution that enhances traditional manual inspection methods, offering faster and more reliable detection. By combining UAV mobility with automated image analysis, M'Sila’s research paves the way for safer, more efficient airport operations. His focus on practical, high-impact applications demonstrates a commitment to translating engineering innovations into tangible safety improvements, making his work a valuable reference for students and researchers exploring the intersection of robotics, aviation, and public safety.