Sabrine Ammar

Papers

Total Citations

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About

Sabrine Ammar is a researcher whose work bridges the gap between automated planning and real-world application, with a focus on the automatic processing of planning problems. Her most-cited paper, "Automatic Processing of Planning Problems: Application on Representative Case Studies" (2022), demonstrates her ability to translate complex theoretical frameworks into practical, scalable solutions. In this work, Ammar explores how to streamline the formulation and solving of planning problems, using representative case studies to validate her approach. While her citation count is still growing—a natural stage for an early-career researcher—her contributions are already notable for their emphasis on automation and efficiency, which are critical for fields like robotics, logistics, and AI-driven decision-making. Ammar’s research stands out for its clarity and applicability, offering tools that can be directly adopted by practitioners. As she continues to publish, her work is poised to influence how planning problems are tackled in both academic and industrial settings, making her a rising voice in the AI and planning community.