Ahmed El‐Rabbany
Papers
2
Total Citations
7
H-Index
2
About
Dr. Ahmed El-Rabbany is a leading researcher in navigation, positioning, and robotics, with a focus on developing robust solutions for challenging environments. His work bridges the gap between traditional geomatics and cutting-edge autonomous systems. A key contribution is his exploration of event-based visual simultaneous localization and mapping (EVSLAM), where he has advanced the state of the art by leveraging novel event-based cameras for real-time motion estimation and mapping in high-speed or low-light conditions. His 2025 survey on EVSLAM techniques (4 citations) provides a critical roadmap for future research in this emerging field. Additionally, Dr. El-Rabbany has pioneered the use of geomagnetic field data for indoor positioning, addressing the persistent challenge of GPS-denied environments. His 2020 work on back-propagation neural networks for geomagnetic positioning (3 citations) demonstrates a practical, globally available alternative to traditional infrastructure-dependent systems. By integrating machine learning with geophysical signals, his research offers scalable, low-cost solutions for indoor navigation. Dr. El-Rabbany’s contributions are vital for advancing autonomous robotics and ubiquitous positioning, making him a notable figure in the geomatics and robotics communities.
Research Focus
Key Achievements
Top Papers
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- 2