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Johanna Vorwerk is an Assistant Professor with research interests primarily in the fields of power systems and machine learning. She actively supervises PhD students and is involved in multiple research projects focused on innovative approaches to enhance the resilience and efficiency of power systems. Her work includes developing AI-based methods for dynamic blackout anticipation and prevention, improving security assessments through machine learning solutions, and verifying neural networks for trustworthy applications in power systems. Additionally, she is engaged in exploring the overlaps between quantum computing and power systems, indicating her interdisciplinary approach to solving modern energy challenges. Vorwerk is affiliated with DTU, located in Kgs. Lyngby, Denmark, contributing significantly to the academic community through her active research endeavors and extensive guidance of upcoming scholars.
Technical University of Denmark • Kgs. Lyngby, Denmark
Engaged in teaching and research in electrical engineering, focusing on power systems and AI applications.
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.