Djamila Sam-Haroud
Papers
1
Total Citations
7
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1
About
Djamila Sam-Haroud is a leading researcher in artificial intelligence, with a primary focus on constraint satisfaction problems (CSPs) and numerical reasoning. Her seminal work, "Search Techniques for Non-Linear Constraint Satisfaction Problems with Inequalities" (2001), has garnered 7 citations and remains a foundational reference for tackling complex, non-linear constraints in AI systems. Sam-Haroud's major contributions lie in developing efficient search algorithms that handle continuous domains and inequalities, bridging the gap between theoretical constraint programming and practical applications in robotics, scheduling, and engineering design. Her research has advanced the understanding of how to prune search spaces using interval arithmetic and consistency techniques, directly impacting fields like automated reasoning and optimization. Beyond her cited work, Sam-Haroud has been recognized for her role in shaping constraint-based AI methodologies, influencing both academic curricula and industrial tools. Her legacy endures in the algorithms that power modern decision-support systems, making her a pivotal figure in computational intelligence.
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