معرفی
Ruth Vazquez Sabariego is a Professor at KU Leuven in Belgium, with her office located at Kasteelpark Arenberg 10, box 2445, 3001 Leuven. She maintains an active research program in computational electromagnetics and power electronics with numerous recent publications and ongoing PhD supervision.
Her research interests span Electromagnetics, Finite Element Methods, Magneto-Quasi-Static Problems, Power Electronics, Magnetic Components, and the application of Physics-Informed Neural Networks to electromagnetic problems. She has pioneered work in homogenization techniques for magnetic components, simulation of electromagnetic phenomena, and the application of machine learning to traditional electromagnetic problems.
Analysis of her recent publications reveals a strong trend toward integrating machine learning with traditional electromagnetic simulation techniques, particularly physics-informed neural networks for solving magneto-quasi-static problems. Her work also shows consistent development of homogenization methods for windings and magnetic cores, with increasing focus on thermal-electromagnetic coupling in power electronics applications.
Professor Sabariego actively supervises PhD students as both promotor and co-promotor, including Thomas Jochmans (2024), Michele Vescovo (2025), Jiaze Kong (2023), Sina Toghranegar (2023), and Ziqing Guo (2022). Her research group is involved in multiple significant projects including 'Magnetic components for on-board chargers of electric vehicles', 'Hosting capacity improvement of power electronic converters', and 'AI Development for topology optimisation of magnetics and cooling systems'.
Her laboratory work focuses on electromagnetic field computation, particularly for power electronics applications. The research involves developing advanced numerical methods for simulating magnetic components, with recent emphasis on integrating machine learning techniques with traditional finite element approaches to improve computational efficiency while maintaining accuracy.
