Shady Zahran

Arab Academy for Science, Technology, and Maritime Transport

Papers

Total Citations

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About

Shady Zahran is a rising researcher in autonomous robotics and navigation systems, with a focus on path planning and sensor fusion. His most-cited work, “Enhanced Hybrid Path Planning Algorithm Based on APF and A-Star” (2023, 15 citations), addresses a critical challenge in robotics: enabling safe, autonomous navigation in complex environments. By integrating artificial potential fields with A-star search, Zahran’s algorithm improves obstacle avoidance and route efficiency—key for applications in air transport, search and rescue, and agriculture. His 2024 paper, “Enhanced Navigation Precision Through Interaction Multiple Filtering,” tackles high-precision inertial navigation by combining invariant and extended Kalman filters, achieving superior accuracy for GNSS-denied scenarios. Though early in his career, Zahran’s work bridges theoretical control and practical robotics, with growing impact in the autonomous systems community. His contributions are particularly relevant for students and engineers developing robust, real-world navigation solutions.