Abdulhakeem Abdulazeez

Centre National de la Recherche Scientifique

Papers

Total Citations

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About

Abdulhakeem Abdulazeez is a rising researcher at the intersection of robotics, wireless networking, and autonomous systems, with a primary focus on multi-agent coordination and formation control. His most-cited work, "Learning-Based Formation Control of UAV-Fleet" (2023), addresses a critical challenge in autonomous Search and Rescue missions: enabling multiple Unmanned Aerial Vehicles (UAVs) to operate collaboratively under wireless constraints while maximizing coverage area and Quality of Service (QoS). By integrating learning-based approaches with formation control, Abdulazeez proposes novel strategies that allow UAV fleets to adapt dynamically to mission-specific imperatives, such as maintaining communication links and optimizing spatial efficiency. This contribution is particularly impactful for real-world applications where reliability and autonomy are paramount. With 3 citations to date, his work is gaining traction among researchers in networked robotics and wireless communications. Abdulazeez’s research stands out for its practical orientation, bridging theoretical control algorithms with the operational demands of emergency response systems. As the field of autonomous drone swarms continues to expand, his contributions offer a promising pathway toward more intelligent, resilient, and cooperative UAV fleets.