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Sara Shafiee's research lies at the intersection of artificial intelligence, complex engineering systems, and digital manufacturing, focusing on developing computational models, machine learning methods, and simulation frameworks to support data-driven decision-making in product development and manufacturing. She has led and contributed to prestigious funded interdisciplinary projects, advancing the integration of AI in simulation, engineering design, and production. Sara's research achievements have been recognized with distinctions such as the Alexander Foss MADE Award and the Innovation Fund Denmark’s Industrial Researcher Prize, along with multiple paper awards at leading conferences like IEEE ICED. Her work is characterized by a strong emphasis on fundamental research, academic collaboration, and mentoring the next generation of researchers. She is also growing her focus on agent-based reasoning, explainable AI, and constraint-driven models for future engineering systems. Sara's expertise aligns with the UN Sustainable Development Goals (SDGs) established in 2015, contributing to the global agenda to end poverty and ensure prosperity for all.
DivERS • Kgs. Lyngby
Founded a company focused on innovative technological solutions.
Copenhagen Business School • Copenhagen
Teaching and mentoring students in relevant subjects.
Haldor Topsoe • Lyngby
Provided expert consulting services to enhance business strategies.
Haldor Topsoe • Lyngby
Managed projects aiming to improve engineering processes.
This requirement applies generally across Technical University of Denmark (DTU) MSc programs including Computer Science, Applied Mathematics, and Engineering disciplines. Specific prerequisites vary by department/curriculum.