M. M. Elrakaiby

Papers

Total Citations

H-Index

About

Dr. M. M. Elrakaiby is a leading researcher in algorithmic optimization and sustainable transportation systems, with a particular focus on green mobility solutions. Their most impactful work, "Exploring Algorithmic Efficiency of A-Star and Dijkstra for Optimal Route Planning in Green Transportation" (2025), has already garnered 8 citations—a strong early indicator of its influence in the field. Dr. Elrakaiby’s major contributions lie in systematically comparing heuristic search algorithms to identify the most computationally efficient and environmentally friendly routing strategies, directly addressing the growing demand for low-emission urban transport. By demonstrating how A-Star can outperform Dijkstra in specific green routing contexts, they have provided a practical framework for developing smarter navigation systems that reduce fuel consumption and carbon footprints. This work bridges theoretical computer science with real-world sustainability challenges, offering actionable insights for engineers and policymakers. Dr. Elrakaiby’s research is particularly notable for its emphasis on algorithmic trade-offs, balancing speed, accuracy, and ecological impact. As a rising voice in computational sustainability, their findings are poised to shape next-generation route planning tools, making them a key figure for students and researchers interested in the intersection of AI, operations research, and environmental science.