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Ruben Erives is a researcher at the Technical University of Denmark focusing on advanced methodologies for assessing and improving the reliability of wind turbine blades. His work aligns with several United Nations Sustainable Development Goals, particularly those related to sustainable energy solutions and environmental protection. Over the years, he has participated in multiple research projects aimed at enhancing the operational efficiency and lifespan of wind turbine components. Ruben has also presented his work at various international conferences and has actively engaged in peer reviewing for several academic journals. His expertise extends to the application of digital twins and artificial intelligence in predictive maintenance and failure detection of wind turbines. He has contributed to the development of innovative methodologies that support the sustainable growth and maintenance of renewable energy infrastructure.
Technical University of Denmark • Roskilde, Denmark
Conducting research and development in wind turbine blade reliability and methodologies for assessing structural integrity.
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.