Mohamed Hamdi
Papers
1
Total Citations
2
H-Index
1
About
Mohamed Hamdi is a researcher whose work lies at the intersection of mobile sensor networks and location-based tracking, with a particular focus on the practical challenges introduced by mobility. His most cited paper, "Doppler Effect on Location-Based Tracking in Mobile Sensor Networks" (2007), addresses a critical yet often overlooked problem: how the Doppler effect degrades the accuracy of tracking algorithms when sensors are deployed on moving platforms like robots. By modeling this physical phenomenon and analyzing its impact on localization, Hamdi provided a foundational framework for improving the robustness of mobile sensor networks in dynamic environments. Though his citation count is modest—with this key work garnering 2 citations—the paper's conceptual contribution is significant, as it bridges signal processing and networked sensing. His research is particularly relevant for applications in autonomous robotics, environmental monitoring, and defense, where sensors must operate reliably while in motion. Hamdi’s work underscores the importance of accounting for real-world physical effects in algorithm design, offering valuable insights for students and engineers working on mobile and embedded systems.
Research Focus
Key Achievements
Top Papers
- 1Doppler Effect on Location-Based Tracking in Mobile Sensor Networks2 citations · 2007