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. Engineering and natural science applications of AI

  • Daria M. Bogatova
    Candidate of Geological and Mineralogical Sciences, Senior Researcher at the Research Laboratory of Geoecology of the North, Faculty of Geography, MSU
    Study
    Development of approaches to forecasting the dynamics of the shores of the Kara Sea using machine learning methods
    Scientific supervisor
  • Michail M. Tikhomirov
    Candidate of Physico-Mathematical Sciences, programmer of the 1st category of the Scientific Research Center of MSU
    Study
    Automatic methods for adapting multilingual resources and models to a specific domain (language, subject area)
    Scientific supervisor
  • Boris P. Yakimov
    Candidate of Physico-Mathematical Sciences, Junior Researcher at the Department of Quantum Electronics, Faculty of Physics, MSU
    Study
    Deep learning in the identification of new optical targets in the human body for the application of biophotonics technologies
    Scientific supervisor

MODULE II. Biomedical and chemical applications of AI

  • Anastasia A. Smirnova
    Candidate of Chemical Sciences, Laboratory Assistant at the Department of Radiochemistry, Research Institute of Dosimetry and Environmental Radioactivity, Faculty of Chemistry, MSU
    Study
    Vulnerability detection and determination of the limits of applicability of in silico models of drug compound design using competitive machine learning
    Scientific supervisor
  • Evgeny P. Kazakov
    Postgraduate student, Faculty of Biology, MSU
    Study
    Analysis of the reorganization of sister chromatids during segregation against the background of dysfunction of architectural chromatin proteins
    Scientific supervisor
  • Andrey V. Bykov
    Postgraduate student at the Faculty of Chemistry of MSU
    Study
    Design of hybrid halogenometallates using ML and DL methods to create new generation optoelectronic materials
    Scientific supervisor
  • Nikita S. Voloshin
    Postgraduate student at the Faculty of Fundamental Medicine of MSU
    Study
    Deep learning methods for detecting cell nuclei on phase-contrast images in order to monitor cell population growth and automatic tracking of single cells
    Scientific supervisor
  • Vitaly S. Bezuglov
    Postgraduate student at the Faculty of Bioengineering and Bioinformatics of MSU
    Study
    Application of modern multimix data processing methods for predicting metabolic and reproductive health
    Scientific supervisor
  • Yakov A. Pchelintsev
    Candidate of Physico-Mathematical Sciences, specialist in the Laboratory of Mathematical Methods of Image Processing, Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University
    Study
    Development of artificial intelligence methods for the detection and analysis of X-ray syndromes on chest X-rays in the computer diagnosis of pulmonary tuberculosis
    Scientific supervisor
  • Anne G. Soplenkova
    Postgraduate student at the Faculty of Bioengineering and Bioinformatics of MSU
    Study
    Studying the genetic control of N-glycosylation of immunoglobulin G using machine learning methods
    Scientific supervisor
  • Sergey V. Pushkarev
    Postgraduate student at the Faculty of Bioengineering and Bioinformatics of MSU
    Study
    Application of machine learning methods in computational enzymology
    Scientific supervisor
  • Artem A. Mitrofanov
    Candidate of Chemical Sciences, Senior Researcher at the Department of Radiochemistry, Faculty of Chemistry, MSU
    Study
    Development of algorithms for the directional design of materials for nuclear energy and nuclear medicine
    Scientific supervisor

MODULE III. Mathematical aspects of AI algorithms

  • Yuly A. Vasiliev
    Postgraduate student at the Faculty of Computational Mathematics and Cybernetics of MSU
    Study
    Research and development of machine learning methods for survival analysis
    Scientific supervisor
  • Mary A. Kazachuk
    Candidate of Physico-Mathematical Sciences, Associate Professor, Department of Intelligent Information Technologies, Faculty of Mechanical Engineering, MSU
    Study
    Research and development of methods for ensuring the security of computers and mobile devices based on the analysis of user behavioral biometrics data
    Scientific supervisor

MODULE IV. Cognitive systems and the brain

  • Anne V. Dyakova
    Candidate of Biological Sciences, Junior Researcher at the Department of Entomology, Faculty of Biology, MSU
    Study
    Multimodal antenna sensor system of miniature insects as a basis for artificial intelligence
    Scientific supervisor
  • Andrey A. Miroshnikov
    Postgraduate student, Faculty of Biology, MSU
    Study
    Investigation of neurophysiological correlates of motor and tactile mental images
    Scientific supervisor
  • Anne A. Fedotova
    Candidate of Biological Sciences, Junior Researcher at the Department of Biophysics, Faculty of Biology, MSU
    Study
    Astrocyte calcium code: development of intelligent analysis methods for deciphering functional plasticity of the brain
    Scientific supervisor

MODULE V. Humanitarian and business aspects of AI application

  • Ilya N. Galushko
    Postgraduate student at the Faculty of History of MSU
    Study
    Automating the process of annotating archived documents using Large Language models (LLM)
    Scientific supervisor
  • Anton V. Kolotusha
    Candidate of Economic Sciences, programmer of the 2nd category of the Laboratory of Information and Analytical Resources of the Faculty of Economics of MSU
    Study
    Classification of patient reviews of Russian clinics for management decisions in the field of healthcare system improvement using machine learning methods
    Scientific supervisor