Nada Mohammed Elfatih
Papers
1
Total Citations
13
H-Index
1
About
Nada Mohammed Elfatih is a rising researcher in autonomous systems, specializing in the coordination and control of unmanned aerial vehicle (UAV) swarms. Her work centers on navigation and trajectory planning, addressing critical challenges in multi-agent systems such as collision avoidance, energy efficiency, and real-time decision-making. Her most-cited paper, "Navigation and Trajectory Planning Techniques for Unmanned Aerial Vehicles Swarm" (2023), has garnered 13 citations, reflecting its timely contribution to the growing field of drone swarm technology. This work synthesizes and advances techniques for optimizing swarm flight paths, offering practical insights for applications in surveillance, disaster response, and precision agriculture. While early in her career, Elfatih’s research demonstrates a clear impact on the intersection of robotics and artificial intelligence, laying groundwork for scalable, autonomous aerial systems. Her achievements highlight a promising trajectory in engineering, with potential to influence both academic theory and real-world deployment of intelligent drone networks.
Research Focus
Key Achievements
Top Papers
- 1