Natalya S. Belova
- Associate Professor:Faculty of Computer Science / School of Software Engineering
- Natalya S. Belova has been at HSE University since 2012.
Education and Degrees
- 2010
Candidate of Sciences* (PhD) in Mathematical Support and Software in Computers, Complexes and Computer Networks
Moscow State University of Instrumentation and Informatics - 2009
Doctoral programme
Moscow State University of Instrumentation and Informatics - 2005
Degree
Moscow State Academy of Instrumentation and Informatics
* 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.
Young Faculty Support Program (Group of Young Academic Professionals)
Category "New Lecturers" (2013-2014)
Courses (2023/2024)
- Group Dynamics and Communication in Software Engineering Professional Practice (Bachelor’s programme; Faculty of Computer Science; 2 year, 1 module)Rus
- Software Engineering Economics (Bachelor’s programme; Faculty of Computer Science; 3 year, 1, 2 module)Rus
- Past Courses
Courses (2022/2023)
- Group Dynamics and Communication in Software Engineering Professional Practice (Bachelor’s programme; Faculty of Computer Science; 2 year, 1 module)Rus
- Software Engineering Economics (Bachelor’s programme; Faculty of Computer Science; 3 year, 3, 4 module)Rus
Courses (2021/2022)
- Group Dynamics and Communication in Software Engineering Professional Practice (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 3 year, 1, 2 module)Rus
- Group Dynamics and Communication in Software Engineering Professional Practice (Bachelor’s programme; Faculty of Management; 3 year, 1, 2 module)Rus
- Group Dynamics and Communication in Software Engineering Professional Practice (Bachelor’s programme; Faculty of Computer Science; 2 year, 1, 2 module)Rus
Courses (2020/2021)
Group Dynamics and Communication in Software Engineering Professional Practice (Bachelor’s programme; Faculty of Computer Science; 2 year, 1, 2 module)Rus
Publications16
- Chapter Andrey V. Savchenko, Lyudmila V. Savchenko, Belova N. S. Group-Level Affect Recognition in Video Using Deviation of Frame Features, in: Analysis of Images, Social Networks and Texts. 10th International Conference, AIST 2021, Tbilisi, Georgia, December 16–18, 2021, Revised Selected Papers / Ed. by E. Burnaev, D. I. Ignatov, S. Ivanov, M. Khachay, O. Koltsova, A. Kutuzov, Sergei O. Kuznetsov, N. Loukachevitch, A. Napoli, A. Panchenko, P. M. Pardalos, J. Saramäki, A. Savchenko, E. Tsymbalov, E. Tutubalina. Cham : Springer, 2022. doi Ch. 13217. P. 199-207. doi
- Article Savchenko A., Belova N. S. Sequential analysis in Fourier probabilistic neural networks // Expert Systems with Applications. 2022. Vol. 207. Article 117885. doi
- Article Savchenko A., Belova N. S., Savchenko Lyudmila V. Fuzzy Analysis and Deep Convolution Neural Networks in Still-to-video Recognition // Optical Memory and Neural Networks (Information Optics). 2018. Vol. 27. No. 1. P. 23-31. doi
- Article Savchenko A., Belova N. S. Unconstrained face identification using maximum likelihood of distances between deep off-the-shelf features // Expert Systems with Applications. 2018. Vol. 108. P. 170-182. doi
- Preprint Savchenko A., Belova N. S. Maximum A Posteriori Estimation of Distances Between Deep Features in Still-to-Video Face Recognition / Cornell University. Series "Working papers by Cornell University". 2017.
- Chapter Savchenko A., Belova N. S., Milov V. R. Sequential Hierarchical Image Recognition Based on the Pyramid Histograms of Oriented Gradients with Small Samples, in: Analysis of Images, Social Networks and Texts. 4th International Conference, AIST 2015, Yekaterinburg, Russia, April 9–11, 2015, Revised Selected Papers / Ed. by M. Y. Khachay, N. Konstantinova, A. Panchenko, D. I. Ignatov, V. Labunets. Vol. 542: Series: Communications in Computer and Information Science. Switzerland : Springer, 2015. Ch. 2. P. 14-23. doi
- Article Savchenko A., Belova N. S. Statistical testing of segment homogeneity in classification of piecewise-regular objects // International Journal of Applied Mathematics and Computer Science. 2015. Vol. 25. No. 4. P. 915-925. doi
- Article Белова Н. С., Никитина Л. Л. Особенности проектной деятельности студентов вуза при проектировании изделий из полимерных материалов // Вестник Казанского технологического университета. 2013. № 24. С. 264-269.
- Article Белова Н. С. Проектное обучение как способ формирования профессиональных компетенций в области программной инженерии // Инновации и инвестиции. 2013. № 8. С. 102-105.
- Article Авдошин С. М., Белова Н. С. Технология проектного обучения программных инженеров // Качество. Инновации. Образование. 2013. № 11. С. 74-79.
- Article Белова Н. С. Методика приоритетного автовосстановления встраиваемых баз данных // Информационные технологии. 2009. № 11(159). С. 30-32.
- Article Брейман А. Д., Белова Н. С. Модели и методы оценки характеристик надежности систем встраиваемых баз данных // Вестник Московского государственного университета приборостроения и информатики. 2009. № 17. С. 86-97.
- Chapter Белова Н. С. Обзор основных проблем встраиваемых баз данных // В кн.: Программное и информационное обеспечение систем различного назначения на базе персональных ЭВМ: межвузовский сборник научных трудов Вып. 12. М. : МГУПИ, 2009. С. 11-13.
- Chapter Белова Н. С. Оценка эффективности работы встраиваемых баз данных // В кн.: Программное и информационное обеспечение систем различного назначения на базе персональных ЭВМ: межвузовский сборник научных трудов Вып. 12. М. : МГУПИ, 2009. С. 13-16.
- Article Брейман А. Д., Белова Н. С. Самолечение и эффективность встраиваемых баз данных // Материаловедение. Энергетика. 2009. № 4 (82). С. 122-125.
- Chapter Белова Н. С. Метод самолечения встроенных баз данных посредством обращения в единый сервисный центр // В кн.: Актуальные проблемы аппаратно-программного и информационного обеспечения науки, образования, культуры и бизнеса: Сборник научных трудов по материалам международной науно-практической Интернет-конференции. М. : МГУПИ, 2008. С. 15-18.