Maysa Khaleel
Papers
1
Total Citations
10
H-Index
1
About
Dr. Maysa Khaleel is a leading researcher in autonomous systems and unmanned aerial vehicle (UAV) navigation, with a core focus on real-time motion planning in complex, dynamic 3D environments. Her most-cited work, "Motion planning of unmanned aerial vehicles in dynamic 3D space: a potential force approach" (2022), introduces a novel collision-free navigation system using generalized potential force functions, enabling UAVs to safely track targets while avoiding obstacles in heterogeneous airspace. This contribution is critical for advancing drone autonomy in cluttered, unpredictable settings. With 10 citations and growing, her research bridges theoretical control algorithms and practical deployment, offering scalable solutions for surveillance, delivery, and search-and-rescue missions. Dr. Khaleel's work stands out for its emphasis on real-time adaptability, addressing a key bottleneck in UAV operations. Her achievements highlight her as an emerging authority in robotics and aerospace engineering, with potential to shape next-generation autonomous flight systems.
Research Focus
Key Achievements
Top Papers
- 1