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The winning project from Qatar University in the 2026 International Federation for Information Processing (IFIP) competition took first place for its work on digital twin technology and artificial intelligence to improve manufacturing systems. The project focuses on rescheduling production based on events using digital twins and deep reinforcement learning, aiming to make manufacturing processes smarter and more responsive to changes and disruptions. The participating team, led by Professor Abdulaziz Bouras, included researchers and students from Qatar University and France. The results demonstrated the ability to dynamically adapt production schedules, enhancing research and educational capabilities in the field and reaffirming Qatar's position in industrial innovation.
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