Moataz Mohamed

McMaster University

Papers

1

Total Citations

11

H-Index

1

About

Dr. Moataz Mohamed is a leading researcher in autonomous aerial robotics, with a primary focus on advancing the operational efficiency and precision of Unmanned Aerial Vehicle (UAV) systems. His most cited work, "Surrogate Optimal Fractional Control for Constrained Operational Service of UAV Systems" (2024), introduces a novel control framework that optimizes drone performance under real-world constraints, moving beyond traditional PID controllers to achieve superior stability and responsiveness. This contribution has already garnered 11 citations, signaling its rapid impact on the field of fractional-order control and autonomous navigation. Dr. Mohamed’s research bridges the gap between theoretical control engineering and practical drone deployment, addressing critical challenges in delivery logistics, surveillance, and emergency response. By developing surrogate models that reduce computational overhead while maintaining high-fidelity control, his work enables more reliable and energy-efficient UAV operations. His achievements are particularly notable for integrating constrained optimization with fractional calculus, offering a scalable solution for next-generation aerial systems. For students and researchers, Dr. Mohamed’s work represents a vital step toward fully autonomous, robust drone fleets capable of complex missions in dynamic environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
11
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Surrogate Optimal Fractional Control for Constrained Operational Service of UAV Systems
11 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: McMaster University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 21 days ago