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Ioannis Karampinis is a dedicated PhD Student specializing in the development of Physics-Informed Neural Network (PINN) simulations focused on Power System Dynamics. His research explores innovative techniques for delivering content and extracting insights to understand service usage within power systems. With a strong foundation in neural networks and a commitment to advancing power system research, Karampinis is engaged in projects that employ computational methods to enhance system performance and efficiency.
Technical University of Denmark • Kgs. Lyngby, Denmark
Engaged in research focusing on the application of Physics-Informed Neural Networks to Power System Dynamics.
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.