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Jens Visbech Madsen is affiliated with the Danish Technical University (DTU) and leads research projects focused on innovative solutions for erosion in wind turbine blades. His academic involvement spans significant projects, including the Cross Cutting Activity Leading Edge Erosion (PI) and Blade Defect Forecasting, where he plays pivotal roles as both project manager and supervisor. Madsen's research interests include the application of artificial intelligence approaches for improving the durability and efficiency of wind turbine operations. He frequently contributes to conferences, presenting on topics such as multi-agent reinforcement learning and optimizing erosion-safe operations in offshore wind farms. His work is characterized by a commitment to advancing knowledge in the field of renewable energy and ensuring the sustainability of wind energy production.
Danish Technical University • Lyngby, Denmark
Conduct research and lead projects focused on erosion in wind turbine blades and renewable energy solutions.
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.