Competition of young
scientists of MSU

The purpose of the young scientists competition is to attract young and talented scientists conducting fundamental and applied research in the field of artificial intelligence, cognitive systems and the brain to MSU.

MODULE I. Cognitive systems and the brain

  • Tatiana A. Zamorina
    Postgraduate student at the Institute for Advanced Brain Research of MSU
    Study
    Experimental modeling and study of neurobiological mechanisms of lifelong memory formation based on a single learning episode in adult animals
    Scientific supervisor
    Konstantin V. Anokhin
  • Anastasia A. Makarova
    Candidate of Biological Sciences, Senior Researcher, Faculty of Biology, MSU
    Study
    Ultrastructure and connectomics of the associative centers of the brain of the smallest insects
    Scientific supervisor
    Alexey A. Polylov

MODULE II. Mathematical aspects of AI algorithms

  • Anastasia V. Anziferova
    Postgraduate student at the Faculty of Computational Mathematics and Cybernetics of MSU
    Study
    Using knowledgedistillation of modern video quality assessment methods to find and eliminate vulnerabilities
    Scientific supervisor
    Dmitry S. Vatolin
  • Marina B. Ermolaeva
    PhD, Junior Researcher, Faculty of Philology, MSU
    Study
    Optimization of syntactic description using formal grammars
    Scientific supervisor
    Sergey G. Tatevosov
  • Valery E. Karnaukhov
    Postgraduate student at the Faculty of Computational Mathematics and Cybernetics of MSU
    Study
    Development of generative augmentation methods for the use of neural networks in the analysis of biomedical images
    Scientific supervisor
    Andrey S. Krylov
  • Anastasia A. Onoprienko
    Postgraduate student, Faculty of Mechanics and Mathematics, MSU
    Study
    Joint logic of tasks and statements
    Scientific supervisor
    Alexey L. Semenov
  • Vladimir A. Frolov
    Candidate of Physico-Mathematical Sciences, Researcher at the Faculty of Computational Mathematics and Cybernetics, MSU
    Study
    Cross-platform hardware-accelerated differentiable modeling environment
    Scientific supervisor
    Dmitry S. Vatolin
  • Alexander V. Khvostikov
    Candidate of Physico-Mathematical Sciences, Researcher at the Faculty of Computational Mathematics and Cybernetics, MSU
    Study
    Development of artificial intelligence methods for histological image processing and analysis tasks
    Scientific supervisor
    Andrey S. Krylov
  • Daniil I. Chernyshev
    Postgraduate student at the Faculty of Computational Mathematics and Cybernetics of MSU
    Study
    Improving the quality of automatic methods for generating complex structured narrative texts based on integration into neural network models of abstract abstracting of general and special knowledge
    Scientific supervisor
    Boris V. Dobrov
  • Andrey A. Chupahin
    Postgraduate student at the Faculty of Computational Mathematics and Cybernetics of MSU
    Study
    Predicting the time of a computational experiment in a heterogeneous computing environment using artificial intelligence methods
    Scientific supervisor
    Ruslan L. Smelyansky

MODULE III. Engineering and natural science applications of AI

  • Michail I. Varentsov
    Candidate of Geographical Sciences, Researcher at the MSU Scientific Research Computing Center
    Study
    Artificial intelligence technologies for high-resolution weather and climate modeling in the Moscow metropolis
    Scientific supervisor
    Viktor M. Stepanenko
  • Alexander S. Zakuskin
    Postgraduate student at the Faculty of Chemistry of MSU
    Study
    Using artificial intelligence to interpret spectral data in the optical range
    Scientific supervisor
    Timur A. Labutin

MODULE IV. Biomedical and chemical applications of AI

  • Anne C. Gribkova
    Postgraduate student, Faculty of Biology, MSU
    Study
    Identification of mechanisms of epigenetic regulation of chromatin using genomic data
    Scientific supervisor
    Alexey K. Shaytan
  • Vadim V. Korolev
    Candidate of Chemical Sciences, Researcher, Faculty of Chemistry, MSU
    Study
    De novo design of multifunctional nanoporous materials using multitasking learning
    Scientific supervisor
    Artem A. Mitrofanov

MODULE V. Humanitarian and business aspects of AI application

  • Tatyana S. Martynenko
    Candidate of Sociological Sciences, Associate Professor of the Department of Modern Sociology, Faculty of Sociology, MSU
    Study
    Social aspects of the introduction of artificial intelligence technology
    Scientific supervisor
    Nadezda G. Osipova
  • Anstasia A. Fedorina
    Postgraduate student at the Faculty of Law of MSU
    Study
    Artificial intelligence and the risks of its use in business activities. Regulatory conditions for the effective use of artificial intelligence and regulation of business responsibility
    Scientific supervisor
    Julia S. Kharitonova