Dmitry Semenov
- Junior Research Fellow:HSE Campus in Nizhny Novgorod / Laboratory of Algorithms and Technologies for Networks Analysis (Nizhny Novgorod)
- Senior Lecturer:HSE Campus in Nizhny Novgorod / Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod) / Department of Applied Mathematics and Informatics
- Dmitry Semenov has been at HSE University since 2019.
Education
-
2017
Master's degree in Data Science (National research university Higher School of Economics)
-
2015
Barchelor's degree in Applied Mathematics and Informatics (National research university Higher School of Economics)
Education and Degrees
- 2022
Candidate of Sciences* (PhD)
HSE University - 2016
Bachelor's in Business Informatics
HSE University
* Candidate of Sciences
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.
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.
Courses (2023/2024)
- Data Analysis (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 3 year, 1-3 module)Rus
- Past Courses
Courses (2022/2023)
Data Analysis and Data Mining (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 3 year, 1-4 module)Rus
Courses (2021/2022)
- Introduction to Programming (Minor; Faculty of Computer Science; 1, 2 module)Rus
- Machine Learning: Basic Concepts (Minor; Faculty of Computer Science; 3, 4 module)Rus
- Probability Theory and Mathematical Statistics (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 2 year, 1-4 module)Rus
Courses (2020/2021)
- Introduction to Data Analysis (Minor; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 3, 4 module)Rus
- Introduction to Programming (Minor; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 1, 2 module)Rus
- Probability Theory and Mathematical Statistics (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 2 year, 1-4 module)Rus
Courses (2019/2020)
- Introduction to Data Analysis (Minor; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 3, 4 module)Rus
- Introduction to Programming (Minor; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 1, 2 module)Rus
- Probability Theory and Mathematical Statistics (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 2 year, 1-4 module)Rus
Courses (2018/2019)
- Introduction to Data Analysis (Minor; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 3, 4 module)Rus
- Introduction to Programming (Minor; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 1, 2 module)Rus
- Probability Theory and Mathematical Statistics (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 2 year, 1-4 module)Rus
Courses (2017/2018)
Probability Theory and Mathematical Statistics (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 2 year, 1-4 module)Rus
Publications7
- Article Semenov D., Alexander Koldanov, Petr Koldanov. Analysis of weakly correlated nodes in market network // Computational Management Science. 2024. Vol. 21. Article 18. doi
- Article Semenov D., Koldanov A. P., Koldanov P., Pardalos P. M. Clique detection with a given reliability // Annals of Mathematics and Artificial Intelligence. 2024 doi
- Article P. A. Koldanov, A. P. Koldanov, D. P. Semenov. Confidence bounds for threshold similarity graph in random variable network // Statistical Analysis and Data Mining. 2023. Vol. 16. No. 6. P. 583-595. doi
- Article Semenov D., Koldanov A. P., Koldanov P., Pardalos P. M. A robustness comparison of two market network models // IMA Journal Management Mathematics. 2022. Vol. 33. No. 1. P. 123-137. doi
- Article Колданов А. П., Колданов П. А., Семенов Д. П. Построение доверительного множества связанных акций фондового рынка // Журнал Новой экономической ассоциации. 2021. Т. 2. № 50. С. 12-34. doi
- Chapter Semenov D., Koldanov P. Rejection Graph for Multiple Testing of Elliptical Model for Market Network, in: Computational Aspects and Applications in Large-Scale Networks. Springer Proceedings in Mathematics & Statistics Vol. 247. Springer, 2018. doi P. 221-234. doi
- Chapter Семенов Д. П., Колданов П. А. Homogeneity hypothesis testing for degree distribution in the market graph // В кн.: Models, Algorithms, and Technologies for Network Analysis. Springer Proceedings in Mathematics & Statistics / Ed. by V. A. Kalyagin, A. I. Nikolaev, P. M. Pardalos, O. Prokopyev. Vol. 197. Springer, 2017. doi С. 153-162. doi
Conferences
- 201920th April International Academic Conference on Economic and Social Development, Moscow, HSE, April 09-12, https://conf.hse.ru/en/2019/about Invited talk: Characteristics of comparisons of stock market networks (Москва). Presentation: Characteristics of comparisons of stock market networks
- 2018XIX Апрельская международная научная конференция по проблемам развития экономики и общества (Москва). Presentation: Rejection graph for multiple testing of elliptical model for market network
- 2016Третий Российский экономический конгресс (Москва). Presentation: Проверка гипотез однородности топологии сетевых структур фондовых рынков