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Resume (English only)
Academic Achievements
1. 2025, Published paper 'Generalizable Data-Driven Machine Learning Surrogates for Characterizing Hysteresis: Applied to Piezoelectric and Magnetic Materials'
2. 2025, Published paper 'Generalizable models of magnetic hysteresis via physics-aware recurrent neural networks'
3. 2025, Published paper 'Magnetic Hysteresis Modeling with Neural Operators'
4. A total of 10 research outputs between 2022 and 2025.
Research Experience
PhD Candidate, Department of Electrical Engineering, Electromechanics Lab.
Education
Master's (MSc) degree from Eindhoven University of Technology, supervisor information not provided.
Background
Research Interests: Piezoelectric materials, magnetic materials, recurrent neural networks, etc. Field: Electrical Engineering.