Saima Dhouib
Papers
1
Total Citations
2
H-Index
1
About
Saima Dhouib is a leading researcher in computational optimization and metaheuristic algorithms, with a primary focus on path planning for mobile robotics. Her work centers on developing efficient, grid-based navigation solutions that balance computational speed with solution accuracy. Dhouib is best known for introducing the Dhouib-Matrix-SPP (Shortest Path Problem) metaheuristic, a novel approach that challenges traditional methods like Particle Swarm Optimization (PSO) by offering superior time efficiency for path planning tasks. Her most cited paper, "A Computational Time Analysis of Dhouib-Matrix-SPP versus Particle Swarm Optimization Metaheuristics for Grid-based Path Planning" (2026, 2 citations), demonstrates this breakthrough, showing how her algorithm reduces computational overhead while maintaining robust obstacle avoidance. This contribution is critical for real-time applications in autonomous systems, where rapid decision-making is essential. Dhouib’s research has significant implications for robotics, logistics, and artificial intelligence, providing a faster alternative to conventional metaheuristics. Her work continues to inspire new directions in algorithm design, making her a notable figure in the field of computational intelligence and mobile robot navigation.
Research Focus
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Top Papers
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