M. Algabri

Papers

Total Citations

H-Index

About

Driven by the challenges of autonomous navigation and intelligent robotics, M. Algabri’s research focuses on real-time computer vision, object detection, and mobile platform tracking. Their most cited work, “Real Time Object Detection & Tracking over a Mobile Platform” (2016), tackles the critical need for fast, reliable visual perception in dynamic environments such as video surveillance, robot navigation, and autonomous vehicles. By proposing an efficient method that balances speed and accuracy, Algabri contributes to enabling machines to perceive and interact with their surroundings in real time. This foundational paper has garnered 3 citations, reflecting its relevance in the growing field of embedded vision systems. Algabri’s work sits at the intersection of robotics and computer vision, addressing practical deployment constraints like limited computational resources on mobile platforms. Their research is particularly valuable for students and engineers developing low-latency tracking systems for drones, service robots, or self-driving cars. With a focus on bridging algorithmic performance and real-world applicability, Algabri continues to explore how machines can better understand and navigate complex visual scenes.