Ehab Abou-Bakr
Papers
2
Total Citations
16
H-Index
2
About
Ehab Abou-Bakr is a rising researcher at the intersection of algorithmic optimization, autonomous robotics, and sustainable transportation. His work focuses on developing computationally efficient path-planning strategies that balance performance with environmental considerations. In his highly cited 2025 paper, Abou-Bakr systematically compared A-Star and Dijkstra algorithms for optimal route planning in green transportation, demonstrating how algorithmic choices can reduce energy consumption without sacrificing navigational accuracy—a contribution that has already garnered 8 citations. His 2024 study on chaotic sequence-driven path planning for autonomous robot terrain coverage introduced a novel approach that leverages deterministic chaos to improve exploration efficiency in unstructured environments, earning equal recognition. These contributions highlight his ability to bridge theoretical algorithm design with real-world applications in robotics and eco-friendly mobility. Abou-Bakr’s work is particularly notable for its practical relevance: his findings offer immediate pathways for engineers designing energy-aware navigation systems and autonomous ground vehicles. As a researcher early in his career, his focused output and growing citation impact signal a promising trajectory in the fields of algorithmic robotics and sustainable computing.
Research Focus
Key Achievements
Top Papers
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- 2