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Language Proficiency
English (IELTS 7)
Address: 11 Pokrovsky Bulvar, Pokrovka Complex, room S924
SPIN-RSCI: 2235-7457
ORCID: 0000-0003-1526-4968
ResearcherID: AAL-8785-2020
Scopus AuthorID: 57204919267
Google Scholar
V. V. Podolskii
A. Ustyuzhanin
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Vladislav Belavin


Research in physics and machine learning.

Young Faculty Support Program (Group of Young Academic Professionals)
Category "New Researchers" (2019-2020)

Postgraduate Studies

4th year of study
Approved topic of thesis: Deep learning for computational simulation models optimization
Academic Supervisor: Ustyuzhanin, Andrey

Courses (2021/2022)

Courses (2020/2021)

Chapters in Applied Statistics (Bachelor’s programme; Faculty of Computer Science; 3 year, 3, 4 module)Rus

Courses (2019/2020)

Courses (2018/2019)

Applied Statistical Data Analysis (Bachelor’s programme; Faculty of Computer Science; 3 year, 1, 2 module)Rus



  • 2020
    4th Inter-experiment Machine Learning Workshop (Женева). Presentation: Black-Box Optimization with Local Generative Surrogates
  • 2019
    Технологии искусственного интеллекта (Москва). Presentation: Цифровые двойники: искусственный интеллект и классическое моделирование
  • 2018
    Second International Workshop on Nuclear Emulsions for Neutrino Studies and WIMP Search (Anacapri). Presentation: Machine learning applied to EM showers of the OPERA experiment
  • 2017

    18th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (Сиэтл). Presentation: Machine-Learning techniques for electro-magnetic showers identification in OPERA dataset

Timetable for today

Full timetable

NeurIPS — 2020 Accepts Three Articles from Faculty of Computer Science’s Researchers

34th conference on neural information processing systems NeurIPS 2020 is one of the largest conferences on machine learning in the world, taking place since 1989. It was going to take place in Vancouver, Canada on December 6-12, but takes place online.NeurIPS is as prestigious as ever, with 9,454 articles submitted and 1,300 articles accepted by the conference. Among those accepted are three articles by the researchers of the Faculty of Computer Science: