معرفی
Dr. Vladislav Vysotskiy is an Associate Professor in Statistics and Probability at the University of Sussex's School of Mathematical and Physical Sciences. His research focuses on probability theory, stochastic processes, and related areas such as convex geometry, random walks, and statistical analysis. He has held this position since 2017 and has an ORCID identifier (0000-0002-4262-3906).
His work explores topics like convex hulls of random walks, large deviations principles, and the geometric properties of stochastic processes. Notable contributions include studies on the isoperimetric problem for convex hulls and applications of stochastic analysis to economic modeling. He has secured grants such as the 'Random Walks and Markov Chains Day' funded by the London Mathematical Society (2017).
Key research trends in his articles include probabilistic analysis of geometric structures, stability of stochastic processes, and applications of advanced mathematical tools to real-world problems. His publications span prestigious journals like Stochastic Processes and their Applications, Annales Henri Lebesgue, and Electronic Journal of Probability.
Vysotskiy collaborates frequently with researchers such as Zakhar Kabluchko and Dmitry Zaporozhets. His work bridges pure and applied mathematics, addressing both theoretical foundations and interdisciplinary applications.
