Machine Learning, Bayesian Statistics, Model Selection, Time Series Forecasting, Applied Statistics
Education
Curent:
PhD in Applied Mathematics, 2021
Moscow Institute of Physics and Technology, Moscow
Scientific Advisor: Prof. Vadim Strijov
2021:
Master of Science in Applied Mathematics, 2019
Moscow Institute of Physics and Technology, Moscow
Scientific Advisor: Prof. Vadim Strijov
Gpa 5.0/5.0
2019:
Bachelor of Science in Applied Mathematics, 2019
Moscow Institute of Physics and Technology, Moscow
Scientific Advisor: Prof. Vadim Strijov
Gpa 4.85/5.0
Publications
Grabovoy A.V., Bakhteev O.Y., Strijov V.V.
Ordering the set of neural network parameters
// Informatics and Applications, 2020, 14(3).
Grabovoy A.V., Strijov V.V.
Quasiperiodic time series clustering for human activity recognition
// Lobachevskii Journal of Mathematics, 2020, 3.
Grabovoy A.V., Bakhteev O.Y., Strijov V.V.
Estimation of the relevance of the neural network parameters
// Informatics and Applications, 2019, 13(2).
Conference Talks
9 October 2020.
AINL: Artificial Intelligence and Natural Language Conference 2020, Helsinki, Finland.
Publication Date Estimation for Scientific Papers.
28 November 2019.
19th Mathematical Methods for Pattern Recognition, Moscow, Russia.
Order on the set of neural network parameters.
25 November 2019.
62th Scientific Conference of MIPT, Section of Data Analysis Problems, MIPT, Moscow, Russia.
Prior distributions in the mixture of experts problem.
29 November 2018.
61th Scientific Conference of MIPT, Section of Data Analysis Problems, MIPT, Moscow, Russia.
Weight pruning algorithms for searching the optimal neural network model.
8-12 October 2018.
12th International Conference on Intelligent Data Processing: Theory and Applications, Gaeta, Italy.
Assessment of the relevance of the Neural network parameters with Belsly method.
Reviewing
The book of abstracts of the 19th Russian National Conference with International Participation
«Mathematical Methods for Pattern Recognition».
The book of abstracts of the 12th International Conference
«IntelligentDataProcessing: Theory and Applications».
The Journal of Machine Learning and Data Analysis.
Management Skills
Secretary of organization committee of the
19th Russian National Conference with International Participation «Mathematical Methods for Pattern Recognition».
Secretary of organization committee of the
12th International Conference «Intelligent Data Processing: Theory and Applications».
Layout editor of the
Journal of Machine Learning and Data Analysis.
Course Advisor of the
“My first scientific publication” for 3rd year students of MIPT.
Teaching
September 2019 — January 2020.
Teacher assistant on Machine Learning for the 4-th year students. MIPT.
February 2020 — May 2020.
Teacher assistant on Applied Statistics for the 4-th year students. MIPT.
September 2019 — May 2020.
Teacher assistant on Machine Learning for the 4-th year students. MIPT.
September 2018 — May 2019.
Introduction to data analysis for students at school. MIPT.
September 2018 — May 2019.
Programming for students at school. MIPT.
Awards
February 2020 — Jun 2020.
Increased State Academic Scholarship for 4st year bachelor
and master students at MIPT for scientific achievements (14,000 Russian rubles per month)
September 2019 — January 2020.
Increased State Academic Scholarship for 4st year bachelor
and master students at MIPT for scientific achievements (12,000 Russian rubles per month)
February 2019 — Jun 2019.
Increased State Academic Scholarship for 4st year bachelor
and master students at MIPT for scientific achievements (10,000 Russian rubles per month)
February 2018 — Jun 2018.
Abramov scholarship for 1-3st year bachelor students
with the best grades at MIPT (12,000 Russian rubles per month)
September 2017 — January 2018.
Abramov scholarship for 1-3st year bachelor students
with the best grades at MIPT (12,000 Russian rubles per month)
November 2014.
First prize at 17th Professor Yadrenka Ukrainian
young mathematicians tournament, Chernivtsi, Ukraine.