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

  • Ekaterina A. Diffine
    Postgraduate student, Faculty of Biology, MSU
    Study
    Experimental modeling and investigation of the principles of rapid classification learning in biological intelligence systems
    Scientific supervisor
  • Arseniy O. Zinkevich
    Postgraduate student at the Faculty of Bioengineering and Bioinformatics of MSU
    Study
    Machine learning for analyzing regulatory sequences in the human genome
    Scientific supervisor
  • Ivan S. Lazukhin
    Postgraduate student at the Faculty of Computational Mathematics and Cybernetics of MSU
    Study
    Development of methods for forecasting and optimizing oil refining production processes based on artificial intelligence methods
    Scientific supervisor
  • Xenia I. Morozova
    Postgraduate student, Faculty of Biology, MSU
    Study
    Determination of the boundaries and type of glioma and precancerous region by the redox state of mitochondria and the protein-lipid composition of cell cytoplasm using RAMAN spectroscopy and artificial intelligence methods
    Scientific supervisor
  • Xenia A. Studenikina
    Postgraduate student at the Faculty of Philology of MSU
    Study
    Automatic modeling of matching rules
    Scientific supervisor
  • Xenia Y. Shutova
    Postgraduate student at the Faculty of Computational Mathematics and Cybernetics of MSU
    Study
    Tasks of managing a group of mobile robots
    Scientific supervisor
  • Julia I. Yarynicheva
    Postgraduate student at the Geographical Faculty of MSU
    Study
    Artificial intelligence for the analysis and forecast of intense precipitation in the MO
    Scientific supervisor

MODULE II Mathematical aspects of AI algorithms

  • Marina B. Ermolaeva
    PhD, Junior Researcher, Faculty of Philology, MSU
    Study
    Optimization of syntactic description using formal grammars
    Scientific supervisor

  • David D. Zaslavsky
    Postgraduate student, Faculty of Mechanics and Mathematics, MSU
    Study
    Semantic analysis of texts using machine learning methods
    Scientific supervisor

  • Mary A. Kazachuk
    Candidate of Physico-Mathematical Sciences, Assistant of the 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

  • 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

  • Xenia A. Studenikina
    Postgraduate student at the Faculty of Philology of MSU
    Study
    Automatic modeling of matching rules
    Scientific supervisor

  • 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

  • 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

  • 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

  • Xenia Y. Shutova
    Postgraduate student at the Faculty of Computational Mathematics and Cybernetics of MSU
    Study
    Tasks of managing a group of mobile robots
    Scientific supervisor

MODULE III Cognitive systems and the brain

  • Tatiana A. Zamorina
    Postgraduate student, Faculty of Biology, MSU
    Study
    Experimental modeling and study of neurobiological mechanisms of lifelong memory formation based on a single learning episode in adult animals
    Scientific supervisor

  • 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

  • Ekaterina A. Diffine
    Postgraduate student, Faculty of Biology, MSU
    Study
    Experimental modeling and investigation of the principles of rapid classification learning in biological intelligence systems
    Scientific supervisor

  • 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

MODULE IV Biomedical and chemical applications of AI

  • Anne K. Gribkova
    Postgraduate student, Faculty of Biology, MSU
    Study
    Identification of mechanisms of epigenetic regulation of chromatin using genomic data
    Scientific supervisor

  • Xenia I. Morozova
    Postgraduate student, Faculty of Biology, MSU
    Study
    Determination of the boundaries and type of glioma and precancerous region by the redox state of mitochondria and the protein-lipid composition of cell cytoplasm using RAMAN spectroscopy and artificial intelligence methods
    Scientific supervisor

  • Arseniy O. Zinkevich
    Postgraduate student at the Faculty of Bioengineering and Bioinformatics of MSU
    Study
    Creation of an integrative neural network model for modeling the motives of binding transcription factors
    Scientific supervisor

  • 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

  • Anastasia A. Smirnova
    Postgraduate student at the Faculty of Chemistry of MSU
    Study
    Using deep neural networks to predict the physico-chemical properties of antitrypanosomal drugs
    Scientific supervisor

MODULE V Humanitarian and business aspects of AI application

  • Azamat R. Mzokov
    Postgraduate student at the Faculty of Economics of MSU
    Study
    Development of effective strategies for the development and commercialization of innovative projects in the field of artificial intelligence using the example of intelligent decision support systems (ISPS)
    Scientific supervisor