Stanislav N. Fedotov
- Visiting Lecturer:Faculty of Computer Science / Big Data and Information Retrieval School / Joint Department with Yandex
- Stanislav N. Fedotov has been at HSE University since 2020.
Education and Degrees
- 2013
Candidate of Sciences* (PhD)
- 2009
Degree in Mathematics
Lomonosov Moscow State University
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.
Student Term / Thesis Papers
- Bachelor
D. Emelianenko, Controllable Neural Machine Translation using Hints from Bilingual Dictionaries. Faculty of Computer Science, 2021
A. Novichkova, Recommender System Library. Faculty of Computer Science, 2021
Y. Savva, Cloud Detection Based on Machine Learning Methods. Faculty of Computer Science, 2020
- Master
V. Goriachko, Using Synthetic Data for Domain Adaptation and Improving Supervised Models in Open Set and Closed Set Tasks. Faculty of Computer Science, 2021
D. Tarasov, Analysis of Different Compilation Strategies for Generics in Golang. Faculty of Computer Science, 2021
N. Savchenko, Graph-Connectivity Algorithms for External Memory Model. Faculty of Computer Science, 2021
M. Fedorov, Efficient Methods for Constructing Tensor Decompositions. Faculty of Computer Science, 2021
M. Popov, Analysis of Algorithms for Finding Optimal Routes in Road Graphs. Faculty of Computer Science, 2021
A. Rak, Few-Shot Learning Task in Keyword Spotting. Faculty of Computer Science, 2021
E. Shcherbin, Algorithms for GPU Computations Scheduling in a Cluster. Faculty of Computer Science, 2021
E. Glazkova, Video Semantic Scenes Detection. Faculty of Computer Science, 2021
V. Shakh-nazarov, Modified Perceptual Losses. Faculty of Computer Science, 2020
A. Chistyakov, Constructing Shared Latent Semantic Spaces for Malware Detection in the Context of Partial Information. Faculty of Computer Science, 2020
A. Volodkevich, Domain Adaptation Methods for Image Processing. Faculty of Computer Science, 2020
I. Terentev, Remote Debugging of IoT Devices. Faculty of Computer Science, 2020
K. Valchuk, User Email Activity Analysis System. Faculty of Computer Science, 2020
H. Kuzmina, Deep Neural Models for Medical Concept Normalization. Faculty of Computer Science, 2020
A. Denisova, Ad Click Prediction for the Web Mapping Service. Faculty of Computer Science, 2019
E. Vlasenko, Aggregation of Noisy Textual Answers. Faculty of Computer Science, 2019
D. Mylzenova, Deep Neural Networks for Poststack Seismic Data Analysis. Faculty of Computer Science, 2019
M. Artemyev, Predicting Efficiency of Target Therapy by Means of Cell Lines Data. Faculty of Computer Science, 2018
S. Demin, Means of Regression Methods for Modelling and Prediction of Drug Score Based on Cell Lines Data. Faculty of Computer Science, 2018
V. Byl, Syntactic Analysis in Speech Recognition. Faculty of Computer Science, 2016
G. Danshchin, Applying Adaptive Learning Rate for Learning to Rank Problem. Faculty of Computer Science, 2016
Courses (2020/2021)
- Linear Algebra and Geometry (Bachelor’s programme; Faculty of Computer Science; 1 year, 1-4 module)Rus
- Past Courses
Courses (2019/2020)
- Automatic Text Processing (Master’s programme; Faculty of Computer Science; 2 year, 1, 2 module)Rus
- Image and Video Analysis (Master’s programme; Faculty of Computer Science; 2 year, 1, 2 module)Rus
- Linear Algebra and Geometry (Bachelor’s programme; Faculty of Computer Science; 1 year, 1-4 module)Rus
- Project Seminar "Internet Data Analysis" (Master’s programme; Faculty of Computer Science; 1 year, 1-4 module)Rus
Courses (2018/2019)
- Algebra (Bachelor’s programme; Faculty of Computer Science; 1 year, 4 module)Rus
- Information Retrieval (Master’s programme; Faculty of Computer Science; 1 year, 3, 4 module)Rus
- Linear Algebra and Geometry (Bachelor’s programme; Faculty of Computer Science; 1 year, 1-4 module)Rus
- Project Seminar (Master’s programme; Faculty of Computer Science; 1 year, 1-4 module)Eng
- Reinforcement Learning (Master’s programme; Faculty of Computer Science; 1 year, 3, 4 module)Rus
Courses (2017/2018)
- Algebra (Bachelor’s programme; Faculty of Computer Science; 1 year, 4 module)Rus
- Linear Algebra and Geometry (Bachelor’s programme; Faculty of Computer Science; 1 year, 1-4 module)Rus
Publications4
- Article Stanislav Fedotov. Framed moduli and Grassmannians of submodules // Transactions of the American Mathematical Society. 2013. Vol. 365. No. 8. P. 4153-4179.
- Article Федотов С. Н. Полуинварианты 2-представлений колчанов // Математические заметки. 2012. Т. 92. № 1. С. 106-115.
- Article Федотов С. Н. Пространства модулей оснащённых представлений колчанов и наборы операторов // Фундаментальная и прикладная математика. 2012. Т. 17. № 5. С. 187-209.
- Article Федотов С. Н. Аффинные алгебраические группы с периодическими компонентами // Математический сборник. 2009. Т. 200. № 7. С. 145-160.
Conferences
Conference proceedings and short surveys
S. N. Fedotov : Affine algebraic groups with periodic components. Abstracts of talks of the
International algebraic conference on the occasion of 100th anniversary of Professor A. G. Kurosh
(2008), 292-294
S. N. Fedotov : Semi-invariants of 2-representations of quivers. Abstracts of talks of the summer
school-conference “Lie Algebras, Algebraic Groups and Invariant Theory” (2009), 62-63
S. N. Fedotov : Framed moduli and Grassmannians of submodules. Abstracts of talks of the second
winter school-conference “Lie Algebras, Algebraic Groups and Invariant Theory” (2011), 71-72.
S. N. Fedotov : Framed moduli spaces of quivers and classification of tuples of operators. Abstracts
of talks of the third winter school-conference “Lie Algebras, Algebraic Groups and Invariant Theory”
(2012), 59-60
S. N. Fedotov : Generalized King’s construction for quivers. Abstracts of talks of the fourth winter
school-conference “Lie Algebras, Algebraic Groups and Invariant Theory” (2014), 54-56- 2014Lie algebras, algebraic groups and invariant theory (Moscow). Presentation: “Generalized King’s construction for quivers”
- 2012Workshop and International Conference on Representations of Algebras (ICRA 2012) (Bielefeld). Presentation: “Framed Moduli Spaces, Grassmannians and tuples of operators”
- Lie Algebras, Algebraic Groups and Invariant Theory (Москва). Presentation: “Framed moduli spaces and tuples of operators”
- 2011Lie Algebras, Algebraic Groups and Invariant Theory (Moscow). Presentation: “Framed Moduli and Grassmannians of submodules”
- 2009Joint algebraic seminar of Kiev State University and Moscow State University, Taras Shevchenko National University of Kyiv. Presentation: “Semi-invariants of 2-representations of quivers”
- Lie Algebras, Algebraic Groups and Invariant Theory (Самара). Presentation: “Semi-invariants of 2-representations of quivers”
- 2008International algebraic conference on the occasion of 100th anniversary of Professor A. G. Kurosh (Москва). Presentation: “Affine algebraic groups with periodic components”
First International Data Analysis Olympiad Held in Moscow
On April 4, the winners of the First International Data Analysis Olympiad (IDAO) were announced. The event was organized by the HSE Faculty of Computer Science, Yandex, and Harbour.Space University (Barcelona) with the support of Sberbank. Magic City team from St. Petersburg took out first prize, a team from the Ukraine came second, and the Apex team from Belarus came third.