Igor Borisov

Prof. Igor Borisov is a distinguished academic affiliated with Novosibirsk State University (NSU) as a Professor in the Chair of Probability Theory and Mathematical Statistics. He also holds the position of Top-level Research Fellow at the Sobolev Institute of Mathematics, Russia. His career spans over five decades, with a Doctor of Science degree (1988) and a Ph.D. in Probability and Statistics (1978).

• Educational Background: Novosibirsk State University (1969-1974), followed by a Post Graduate Course at Sobolev Institute of Mathematics (1974-1978).

His research focuses on Probability Theory, Mathematical Statistics, and Stochastic Processes, with significant contributions to Poisson approximation, limit theorems, and asymptotic analysis of random walks. His recent work explores kernel-type estimators, exponential inequalities for dependent data, and canonical statistics in nonlinear regression models.

The 15 most recent articles highlight his expertise in Poisson approximation, canonical processes, and random walk dynamics. Topics include asymptotic behavior, exponential inequalities, and statistical inference for dependent observations.

He has supervised 11 Ph.D. students, including Evgenii Shefer (2021) and Vasilii Zhechev (2018), and contributes to teaching through materials like Probability and Statistics lectures at NSU.