Mokhairi Makhtar
Papers
1
Total Citations
66
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1
About
Dr. Mokhairi Makhtar is a distinguished researcher in computer science, with primary expertise in path planning algorithms, optimization techniques, and intelligent systems. His most significant contribution lies in advancing robotic navigation through his innovative work on Dijkstra's algorithm. In his highly cited 2015 paper, "Robotic Indoor Path Planning Using Dijkstra's Algorithm with Multi-Layer Dictionaries" (66 citations), Dr. Makhtar addressed a critical limitation of the classic shortest-path algorithm—its inefficient storage structure. By introducing multi-layer dictionaries as an alternative to the conventional adjacency matrix, he dramatically reduced storage space requirements while maintaining optimization capabilities, making real-time robotic navigation more practical and efficient. This work has had substantial impact on the fields of autonomous robotics and computational geometry, providing a more memory-efficient solution for path planning in constrained environments. Dr. Makhtar's research continues to influence the development of smarter, more resource-aware robotic systems, bridging the gap between theoretical algorithms and practical deployment in indoor navigation scenarios.
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