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Rahul Nellikkath is a Postdoctoral researcher affiliated with the Technical University of Denmark (DTU). His expertise aligns with the United Nations Sustainable Development Goals, focusing on integrating scientific research with real-world applications to contribute to global sustainability efforts. Rahul's recent work emphasizes the development of Physics-Informed Neural Network (PINN) simulators and machine learning optimization in distribution-level flexibility markets. His academic contributions, particularly in areas such as machine learning, power system dynamics, and optimization techniques, are well recognized in the research community. He actively collaborates with PhD students and supervises various projects, aiming to advance knowledge in his field over a projected timeline. His research is publicly indexed and can be viewed through his Scopus and ORCID profiles.
Technical University of Denmark • Kgs. Lyngby, Denmark
Conducts research on machine learning applications in power systems, focusing on sustainable 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.