Aya Kherrour

Papers

Total Citations

H-Index

About

Aya Kherrour is a researcher in artificial intelligence and robotics, with a primary focus on heuristic search algorithms and autonomous pathfinding systems. Her most-cited work, "Evaluating Heuristic Search Algorithms in Pathfinding: A Comprehensive Study on Performance Metrics and Domain Parameters" (2023), provides a rigorous comparative analysis of search algorithms across diverse problem settings, offering critical insights into algorithm efficiency and domain-specific performance trade-offs. This study serves as a valuable benchmark for researchers and engineers developing autonomous navigation systems, helping to guide algorithm selection based on environmental complexity and computational constraints. While early in her career, Kherrour’s contributions are already shaping foundational understanding in pathfinding optimization, with her work cited in ongoing discussions on robotics and AI-driven decision-making. Her research addresses the practical challenges of deploying heuristic search in real-world autonomous systems, bridging theoretical algorithm evaluation with applied robotics. As her citation impact grows, Kherrour is establishing herself as a promising voice in the field, contributing essential knowledge for the next generation of intelligent, self-navigating technologies.