معرفی
Evgeny Igorevich Prokopenko is a Senior Research Fellow at the Faculty of Computer Science, National Research University Higher School of Economics (HSE), specifically within the Institute of Artificial Intelligence and Digital Sciences and the Laboratory of Theoretical Foundations of Artificial Intelligence Models. He joined HSE in 2024 and concurrently serves as a Senior Researcher at the Sobolev Institute of Mathematics, Siberian Branch of the Russian Academy of Sciences since January 2019.
His educational background includes:
- 2018: Candidate of Physical and Mathematical Sciences
- 2014: Master's degree in Mathematics from Novosibirsk National Research State University
Prokopenko specializes in probability theory and random processes, with particular focus on large deviations. His research bridges theoretical mathematics with applications in artificial intelligence and complex systems. His work demonstrates a strong foundation in mathematical theory while addressing contemporary challenges in data science and stochastic modeling.
His scientific contributions primarily focus on limit theorems, branching processes, and large deviation principles. His publications reveal a consistent research trajectory in probability theory with applications to various domains including polymer physics and random environments. The temporal pattern of his publications shows ongoing productivity with recent work published in top probability journals.
His notable achievements include:
- Multiple publications in high-impact journals including Probability Theory and Its Applications, Extremes, Statistics and Probability Letters, and Problems of Information Transmission
- Collaborations with prominent researchers in probability theory across international institutions
Prokopenko maintains active research affiliations with both HSE University in Moscow and the Sobolev Institute of Mathematics in Novosibirsk, reflecting a strong connection between Russia's leading mathematical centers. His current position at HSE's Faculty of Computer Science suggests an integration of his theoretical expertise with modern computational approaches.
