معرفی
Yury Korolev is a Lecturer in the Department of Mathematical Sciences at the University of Bath. His research focuses on applied analysis, inverse problems, variational methods, mathematical imaging, and machine learning. He actively organizes workshops, including the Second Workshop on Machine Learning in Infinite Dimensions at ETH Zurich (2025), sponsored by ETH Zurich and the EPSRC Hub ProbAI. His work emphasizes infinite-dimensionality in machine learning, operator learning, and neural networks for partial differential equations (PDEs). He leads multiple funded projects from institutions like the Royal Society and EPSRC, addressing operator learning in inverse problems and regularization theory. Korolev is open to supervising PhD students in machine learning theory, inverse problems, and imaging.
Key projects include 'Operator Learning in Inverse Problems' (Royal Society, 2024–2026) and 'Regularisation Theory in the Data Driven Setting' (EPSRC, 2022–2024). His research integrates mathematical rigor with applications in imaging, computational methods, and theoretical foundations of AI. Collaborations span academia and industry, emphasizing interdisciplinary problem-solving.
