Mohamed A.E. Abdel‐Rahman

Military Technical College

Papers

1

Total Citations

4

H-Index

1

About

Dr. Mohamed A.E. Abdel‐Rahman is a leading researcher in autonomous systems, nuclear safety, and radiation detection, with a focus on integrating unmanned ground vehicles (UGVs) into high-risk environments. His most cited work, "Euler–Maruyama algorithm in estimating UGV path and location in nuclear emergency and security applications" (2023, 4 citations), introduces a stochastic approach to enhance UGV navigation and localization during nuclear incidents—a critical contribution to emergency response robotics. This research bridges probabilistic modeling with real-world deployment, improving the reliability of mobile robots in hazardous settings. Dr. Abdel‐Rahman’s broader contributions span teleoperation, sensor fusion, and control systems for military and industrial applications, addressing challenges in path estimation under uncertainty. His work has direct implications for nuclear security, disaster management, and autonomous exploration, demonstrating how algorithmic innovations can safeguard human operators. By advancing the precision of UGV positioning in contaminated zones, he is shaping the future of remote operations in extreme environments. Dr. Abdel‐Rahman’s research continues to inspire new approaches to resilient, autonomous systems in safety-critical domains.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Euler–Maruyama algorithm in estimating UGV path and location in nuclear emergency and security applications
4 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Military Technical College

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago