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
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
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
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
Julia I. Yarynicheva
Postgraduate student at the Geographical Faculty of MSU
Study
Artificial intelligence for the analysis and forecast of intense precipitation in the Moscow region
Scientific supervisor
MODULE II. Mathematical aspects of AI algorithms
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
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
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
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
MODULE IV. Biomedical and chemical applications of AI
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
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
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
