Monika Nagy-Huber | Machine Learning | Best Researcher Award Posted on 28/06/202428/06/2024 by Academic achievements Mrs. Monika Nagy-Huber | Machine Learning | Best Researcher Award Ms. Universität Basel, Switzerland Monika Timea Nagy-Huber is currently pursuing a PhD in Computer Science at the University of Basel, specializing in Physics-informed Machine Learning Algorithms under the supervision of Prof. Dr. Volker Roth in the Biomedical Data Analysis research group. She earned her Master of Science in Mathematics from the same university, focusing on Numerics (Partial Differential Equations for Wave Equations) and Algebra-Geometry-Number Theory (Elliptic Curves). Her master’s thesis, titled “The Local Discontinuous Galerkin Method with Local Time Stepping Method for solving the Wave Equation,” received a grade of 5.5. Monika also holds a Bachelor of Science in Mathematics from the University of Basel, completed in 2016. Profile Google scholar Personal Data 🌐 Last Name: Nagy-Huber First Name: Monika Timea E-Mail: monika.nagy@unibas.ch Nationality: Swiss University Education 🎓 PhD in Computer Science, University of Basel 09/2019 – Present Supervisor: Prof. Dr. Volker Roth Research Group: Biomedical Data Analysis Specialization: Physics-informed Machine Learning Algorithms Master of Science in Mathematics, University of Basel 02/2016 – 02/2019 Areas of Specialization: Numerics (Partial Differential Equations for Wave Equations), Algebra-Geometry-Number Theory (Elliptic Curves) Master’s Thesis: “The Local Discontinuous Galerkin Method with Local Time Stepping Method for solving the Wave Equation” Grade: 5.5 Supervisor: Prof. Dr. Marcus J. Grote Bachelor of Science in Mathematics, University of Basel 09/2011 – 02/2016 Publications: The effect of lysergic acid diethylamide (LSD) on whole-brain functional and effective connectivity CITED BY 17 Learning invariances with generalised input-convex neural networks CITED BY 5 Mesh-free Eulerian Physics-Informed Neural Networks CITED BY 1 Mesh-free Eulerian physics-informed neural networks CITED BY 1