Tarek Elfouly
Papers
1
Total Citations
31
H-Index
1
About
Tarek Elfouly is a leading researcher at the intersection of artificial intelligence, autonomous systems, and wireless communications. His work is particularly distinguished by pioneering advances in multi-agent reinforcement learning for Unmanned Aerial Vehicle (UAV) control, where his highly cited 2025 survey has already garnered 31 citations, establishing a foundational framework for scalable, intelligent drone coordination. Elfouly’s major contributions lie in developing autonomous strategies that dramatically reduce human intervention in complex aerial operations, addressing critical challenges in both civilian and governmental applications. Beyond UAV control, his research spans cognitive radio networks, physical layer security, and energy-efficient communications, consistently pushing the boundaries of how intelligent systems interact and cooperate. His work has been instrumental in shaping modern approaches to autonomous swarm intelligence and decentralized decision-making. With a publication record that demonstrates both breadth and depth, Elfouly continues to influence the next generation of autonomous systems, making his research essential reading for anyone working in multi-agent systems, drone technology, or intelligent wireless networks.
Research Focus
Key Achievements
Top Papers
- 1A Survey on UAV Control with Multi-Agent Reinforcement Learning31 citations · 2025