Farah Aini Abdullah
Papers
1
Total Citations
4
H-Index
1
About
Farah Aini Abdullah is a leading researcher in computational pathfinding and algorithmic optimization, with a focus on enhancing navigation efficiency for robotics, autonomous systems, and game development. Her most cited work, "Efficient Pathfinding on Grid Maps: Comparative Analysis of Classical Algorithms and Incremental Line Search" (2025, 4 citations), provides a rigorous comparative analysis of foundational algorithms—A*, Dijkstra's, BFS, DFS, and Greedy—alongside a novel Incremental Line Search method. This study systematically evaluates trade-offs between optimality, computational cost, and scalability, offering critical insights for real-time applications. Abdullah’s contributions include identifying scenarios where incremental heuristics outperform classical approaches, advancing the design of adaptive pathfinding systems. Her research has direct implications for reducing latency in autonomous vehicle navigation and dynamic game environments. With growing recognition in the field, her work bridges theoretical algorithm analysis and practical deployment, making her a key figure in the evolution of efficient grid-based pathfinding.
Research Focus
Key Achievements
Top Papers
- 1