Abdulrahman Mahmoud
Papers
3
Total Citations
28
H-Index
3
About
Abdulrahman Mahmoud is a leading researcher in the safety and resilience of autonomous systems, with a particular focus on micro aerial vehicles (UAVs). His work addresses the critical challenge of silent data corruption (SDC) in autonomous operations, developing end-to-end frameworks to analyze and mitigate these faults. Mahmoud’s most notable contribution is the MAVFI framework, a comprehensive methodology for assessing SDC effects on UAV mission metrics like flight time and success rate, which also integrates anomaly detection and recovery mechanisms. This work, published in 2023, has garnered 17 citations, reflecting its significance in the field. He also introduced ROSFI, the first resilience analysis methodology for the Robot Operating System (ROS), using UAVs as a case study to evaluate SDC impacts on system-level mission outcomes. Mahmoud’s research bridges hardware reliability and software resilience, providing practical tools for ensuring autonomous vehicle safety. His frameworks are essential for developers and researchers working on dependable UAV systems, and his contributions have been recognized with multiple publications in top venues, establishing him as a key figure in autonomous systems reliability.
Research Focus
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Top Papers
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