معرفی
Prof. Dr. Vitalii Konarovskyi is a Professor of Stochastic Processes and their Applications at the University of Hamburg's Department of Mathematics within the Faculty of Mathematics, Informatics and Natural Sciences. He holds a W2 professorship and has held academic roles at institutions such as Universität Leipzig, Bielefeld, and Jena. His research focuses on stochastic analysis, interacting particle systems, stochastic PDEs, measure-valued diffusions, random graphs, and machine learning. He actively teaches advanced courses in stochastic processes, mathematical statistics, and related fields, including recent modules like 'Stochastic Differential Equations' and 'Large Deviations.'
Education & Career:
- PhD in Mathematics (2010-2015), Institute of Mathematics of NAS of Ukraine
- W2 Professor, University of Hamburg (2023–present)
- Postdoc roles at Universität Bielefeld, Leipzig, and the Max Planck Institute
Research Interests: His work bridges stochastic processes with applications in physics and machine learning, emphasizing systems with singular interactions, measure-valued dynamics, and coalescing/fragmenting particle systems. Recent focus includes the Dean-Kawasaki equation, stochastic gradient descent dynamics, and stochastic block models.
Awards & Recognition: No specific awards mentioned, but his contributions to stochastic analysis and coalescing particle systems are internationally recognized through collaborative research centers like SFB 1283 at Bielefeld.
Teaching & Supervision: Extensive teaching portfolio includes stochastic calculus, large deviations, and mathematical methods for physicists. Active in supervising PhD students through research groups and seminars on topics like machine learning and stochastic flows.
Labs/Teams: Collaborates with groups like Benjamin Gess's team at Bielefeld and Max von Renesse's group, contributing to projects on fluctuating hydrodynamics and mean-field limits.
