Muaz Al Radi

Khalifa University of Science and Technology

Papers

Total Citations

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About

Muaz Al Radi is a pioneering researcher in the field of autonomous aerial robotics and industrial inspection, with a focused expertise in developing unmanned aerial vehicle (UAV) systems for critical infrastructure monitoring. His work centers on automating the hazardous and labor-intensive task of flare stack inspection in the oil and gas industry, where he has made significant contributions to vision-based fault detection and visual servoing control. Al Radi’s most-cited paper, "Vision-based Inspection of Flare Stacks Operation Using a Visual Servoing Controlled Autonomous Unmanned Aerial Vehicle (UAV)" (2022, 11 citations), introduces an innovative approach that combines computer vision with autonomous flight to detect structural cracks and combustion inefficiencies in real time. His subsequent works, including "Autonomous Inspection of Flare Stacks Using an Unmanned Aerial System" (2023, 6 citations) and "Video Analysis of Flare Stacks with an Autonomous Low-Cost Aerial System" (2022, 5 citations), extend this research by emphasizing cost-effective, scalable solutions that reduce human risk and operational downtime. With a cumulative citation impact of 22 across his top papers, Al Radi’s achievements are notable for bridging the gap between robotics research and practical industrial safety, offering a transformative pathway toward safer, more efficient monitoring of high-risk environments.