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Kim Branner is the Head Section of Structural Design Testing at the Technical University of Denmark (DTU). His research focuses on structural health monitoring, damage prognostics, and composite materials, particularly in relation to wind turbine blades. Branner has participated in and coordinated various research projects, including DigiWind, aimed at digitalization in wind energy systems and CASMaT, which investigates advanced structural material testing. His work involves collaborations with PhD students and other researchers to enhance digital twins of wind turbines and improve testing methodologies. Over the years, he has contributed to numerous conferences, sharing insights on non-destructive testing methods and digitalization in the field. He is dedicated to aligning his research with the United Nations Sustainable Development Goals (SDGs), focusing on sustainable practices in engineering and technology application. Branner's expertise encompasses machine learning applications in structural engineering and his contributions are recognized in multiple high-profile academic collaborations and publications.
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.