Alexander Sirotkin
- Associate Professor:HSE Campus in St. Petersburg / St. Petersburg School of Physics, Mathematics, and Computer Science / Department of Mathematics
- Head:HSE Campus in St. Petersburg / St. Petersburg School of Physics, Mathematics, and Computer Science / Machine Learning and Social Computing Research Group
- Alexander Sirotkin has been at HSE University since 2014.
Education and Degrees
- 2012
Candidate of Sciences* (PhD)
St Petersburg State University - 2005
Degree
St Petersburg State University - 2005
Degree
St Petersburg 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.
Courses (2023/2024)
- Applications and Practice of Data Science (Minor; St. Petersburg School of Physics, Mathematics, and Computer Science ; 3, 4 module)Rus
- Data analysis technologies (Minor; 3, 4 module)Rus
- Data exploration and visualization (Minor; 1, 2 module)Rus
Machine Learning (Master’s programme; Saint-Petersburg School of Social Sciences; field of study "39.04.01. Социология", field of study "39.04.01. Социология"; 2 year, 2 module)Eng
- Machine Learning (Mago-Lego; 2 module)Eng
- Predictive Models and Applied Analytics (Minor; St. Petersburg School of Physics, Mathematics, and Computer Science ; 1, 2 module)Rus
- Recommender Systems (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 2 year, 1, 2 module)Rus
- Past Courses
Courses (2022/2023)
- Applications and Practice of Data Science (Minor; St. Petersburg School of Physics, Mathematics, and Computer Science ; 3, 4 module)Rus
- Data analysis technologies (Minor; St. Petersburg School of Physics, Mathematics, and Computer Science ; 3, 4 module)Rus
- Data exploration and visualization (Minor; St. Petersburg School of Physics, Mathematics, and Computer Science ; 1, 2 module)Rus
- Machine Learning (Master’s programme; Saint-Petersburg School of Social Sciences; 2 year, 1 module)Eng
Practical Machine Learning Methods for Data Mining (Master’s programme; St.Petersburg School of Economics and Management; field of study "38.04.02. Менеджмент", field of study "38.04.02. Менеджмент"; 1 year, 3, 4 module)Eng
- Predictive Models and Applied Analytics (Minor; St. Petersburg School of Physics, Mathematics, and Computer Science ; 1, 2 module)Rus
- Recommender Systems (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 2 year, 1, 2 module)Rus
Courses (2021/2022)
- Applications and Practice of Data Science (Minor; St. Petersburg School of Physics, Mathematics, and Computer Science ; 3, 4 module)Rus
- Data analysis technologies (Minor; St. Petersburg School of Physics, Mathematics, and Computer Science ; 3, 4 module)Rus
- Data exploration and visualization (Minor; St. Petersburg School of Physics, Mathematics, and Computer Science ; 1, 2 module)Rus
- Data Mining and Elements of Machine Learning (Minor; St. Petersburg School of Physics, Mathematics, and Computer Science ; 1, 2 module)Rus
- Recommender Systems (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 2 year, 1, 2 module)Rus
Courses (2020/2021)
- Applications and Practice of Data Science (Minor; St. Petersburg School of Physics, Mathematics, and Computer Science ; 3, 4 module)Rus
- Data Analysis and Data Technologies (Minor; St. Petersburg School of Physics, Mathematics, and Computer Science ; 3, 4 module)Rus
- Data Mining and Elements of Machine Learning (Minor; St. Petersburg School of Physics, Mathematics, and Computer Science ; 1, 2 module)Rus
Online Communities and Complex Social Network (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; field of study "01.04.02. Прикладная математика и информатика", field of study "01.04.02. Прикладная математика и информатика"; 2 year, 1, 2 module)Rus
- Project Seminar (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 2 year, 1 module)Rus
- Research Seminar "Machine Learning and Applications" (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 2 year, 1, 2 module)Rus
Courses (2019/2020)
- Applications and Practice of Data Science (Minor; St.Petersburg School of Economics and Management; 3, 4 module)Rus
Artificial Intelligence and Cognitive Systems (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; field of study "01.04.02. Прикладная математика и информатика", field of study "01.04.02. Прикладная математика и информатика"; 2 year, 1, 2 module)Rus
- Bayesian Methods for Machine Learning (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 1 year, 3 module)Eng
- Data Analysis and Data Technologies (Minor; St. Petersburg School of Physics, Mathematics, and Computer Science ; 3, 4 module)Rus
- Data Mining and Elements of Machine Learning (Minor; St.Petersburg School of Economics and Management; 1, 2 module)Rus
- Modern Methods of Data Analysis (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 1 year, 1, 2 module)Rus
- Project Seminar (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 2 year, 1, 2 module)Rus
- Research Seminar "Machine Learning and Applications" (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 2 year, 1-3 module)Rus
Courses (2018/2019)
- Algorithms and Data Structures (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 1 year, 2 module)Rus
- Applications and Practice of Data Science (Minor; St.Petersburg School of Economics and Management; 3, 4 module)Rus
- Databases and Analytical Systems (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 1 year, 4 module)Rus
- Databases and Analytical Systems (Master’s programme; St.Petersburg School of Economics and Management; 1 year, 4 module)Rus
- Data Mining and Elements of Machine Learning (Minor; St.Petersburg School of Economics and Management; 1, 2 module)Rus
- Economic Mechanism Design (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 2 year, 2 module)Eng
Modern Methods of Data Analysis (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; field of study "01.04.02. Прикладная математика и информатика", field of study "01.04.02. Прикладная математика и информатика"; 1 year, 1 module)Rus
- Research Seminar "Machine Learning and Applications" (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 2 year, 1, 2 module)Rus
- Social and Economic Network Analysis (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 2 year, 1, 2 module)Rus
Courses (2017/2018)
- Applications and Practice of Data Science (Minor; Saint-Petersburg School of Social Sciences; 3, 4 module)Rus
- Data Mining and Elements of Machine Learning (Minor; Saint-Petersburg School of Social Sciences; 1, 2 module)Rus
- Mathematical Basics for Data Analysis (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 1 year, 1, 2 module)Rus
- Online Course (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 1 year, 4 module)Rus
Courses (2016/2017)
Publications21
- Article Chuprikov P., Davydov A., Kogan K., Nikolenko S. I., Sirotkin A. Formalization and taxonomy of compute-aggregate problems for cloud computing applications // Computer Networks. 2021. Vol. 189. Article 107915. doi
- Article Kogan K., Menikkumbura D., Petri G., Noh Y., Nikolenko S. I., Sirotkin A., Eugster P. Towards Software-Defined Buffer Management // IEEE/ACM Transactions on Networking. 2020. Vol. 28. No. 5. P. 2337-2349. doi
- Article Eugster P., Kesselman A., Kogan K., Nikolenko Sergey, Sirotkin A. Admission control in shared memory switches // Journal of Scheduling. 2018. Vol. 21. No. 5. P. 533-543. doi
- Chapter Musabirov I., Bulygin D., Paul Okopny, Sirotkin A. Deconstructing Cosmetic Virtual Goods Experiences in Dota 2, in: CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. NY : ACM, 2017. P. 2054-2058. doi
- Article Eugster P., Kogan K., Nikolenko S. I., Alevander V. Sirotkin. Heterogeneous packet processing in shared memory buffers // Journal of Parallel and Distributed Computing. 2017. Vol. 99. P. 1-13. doi
- Article Kogan K., Lopez-Ortiz A., Nikolenko S. I., Alexander V. Sirotkin. The impact of processing order on performance: A taxonomy of semi-FIFO policies // Journal of Computer and System Sciences. 2017. Vol. 88. P. 220-235. doi
- Article Kogan K., Lopez-Ortiz A., Nikolenko S. I., Alexander V. Sirotkin. Online Scheduling FIFO Policies with Admission and Push-Out // Theory of Computing Systems. 2016. Vol. 58. No. 2. P. 322-344. doi
- Chapter Sirotkin A., Musabirov I., Okopny P., Bulygin D., Ivanov V. Topic modeling for answers detection in online game chats, in: Supplementary Proceedings of the 5th International Conference on Analysis of Images, Social Networks and Texts (AIST-SUP 2016), Yekaterinburg, Russia, April 7-9, 2016. / Ed. by D. I. Ignatov. Vol. 1710. Aachen : CEUR Workshop Proceedings, 2016.
- Article Мусабиров И. Л., Сироткин А. В. Специализация «Анализ данных». Виртуальное образовательное окружение с поддержкой средств образовательной аналитики // Компьютерные инструменты в образовании. 2016. № 4. С. 32-42.
- Article Heimer R., Levina O. S., Osipenko V., Ruiz M. S., Sergeyev B., Sirotkin A., Vyshemirskaya I. Impact of incarceration experiences on reported HIV status and associated risk behaviours and disease comorbidities // European Journal of Public Health. 2015. Vol. 25. P. 1089-1094. doi
- Chapter Nikolenko S. I., Kogan K., Eugster P., Sirotkin A. Shared Memory Buffer Management for Heterogeneous Packet Processing, in: Proceedings of the IEEE 34th International Conference on Distributed Computing Systems (ICDCS 2014). NY : IEEE, 2014. P. 471-480.
- Article Nurk S., Bankevich A., Antipov D., Gurevich A. A., Korobeynikov A., Lapidus A., Prjibelski A. D., Pyshkin A., Sirotkin Alexander, Sirotkin Y., Stepanauskas R., Clingenpeel S. R., Woyke T., McLean J. S., Lasken R., Tesler G., Alekseyev M. A., Pevzner P. A. Assembling Single-Cell Genomes and Mini-Metagenomes From Chimeric MDA Products // Journal of Computational Biology. 2013. Vol. 20. No. 10. P. 714-737.
- Article Фильченков А. А., Фроленков К. В., Сироткин А. В., Тулупьев А. Л. Cистема алгоритмов синтеза подмножеств минимальных графов смежности // Информатика и автоматизация (Труды СПИИРАН). 2013. № 27. С. 200-244.
- Chapter Kogan K., Nikolenko S. I., Lopez-Ortiz A., Sirotkin A. Multi-Queued Network Processors for Packets with Heterogeneous Processing Requirements, in: Proceedings of the Fifth International Conference on Communication Systems and Networks (COMSNETS 2013). Bangalore : IEEE Computer Society, 2013. P. 1-10.
- Article Pham S. K., Antipov D., Sirotkin Alexander, Tesler G., Pevzner P. A., Alekseyev M. A. Pathset Graphs: A Novel Approach for Comprehensive Utilization of Paired Reads in Genome Assembly // Journal of Computational Biology. 2013. Vol. 20. No. 4. P. 359-371.
- Article Сироткин А. В. Комплекс программ логико-вероятностного вывода в базах фрагментов знаний: реализация фрагмента знаний // Информатика и автоматизация (Труды СПИИРАН). 2013. № 25. С. 204-220.
- Chapter Kogan K., Lopez-Ortiz A., Nikolenko S. I., Sirotkin A., Tugaryov D. FIFO Queueing Policies for Packets with Heterogeneous Processing, in: Design and Analysis of Algorithms: Proceedings of the 1st Mediterranean Conference on Algorithms. Berlin : Springer, 2012. P. 248-260.
- Article Bankevich A., Nurk S., Antipov D., Gurevich A. A., Dvorkin M., Kulikov A. S., Lesin V. M., Nikolenko S. I., Pham S., Prjibelski A. D., Pyshkin A. V., Sirotkin A., Vyahhi N., Tesler G., Alekseyev M. A., Pevzner P. A. SPAdes: A New Genome Assembly Algorithm and Its Applications to Single-Cell Sequencing // Journal of Computational Biology. 2012. Vol. 19. No. 5. P. 455-477.
- Article Сироткин А. В., Мусина В. Ф., Тулупьев А. Л. Алгебраические байесовские сети: нелинейная задача оптимизации в локальном апостериорном выводе при атомарном стохастическом свидетельстве // Информатика и автоматизация (Труды СПИИРАН). 2012. № 20. С. 200-215.
- Article Николенко С. И., Сердюк Д. В., Сироткин А. В. Байесовские рейтинг-системы с учётом дополнительной информации о результатах // Информатика и автоматизация (Труды СПИИРАН). 2012. Т. 22. С. 189-204.
- Article Тулупьев А. Л., Сироткин А. В. Матричные уравнения локального логико-вероятностного вывода оценок истинности элементов в алгебраических байесовских сетях // Вестник Санкт-Петербургского университета. Серия 1. Математика. Механика. Астрономия. 2012. № 3. С. 63-72.
First seminar of Research Group "Machine Learning and Social Computing": trajectories of development and research of online games
On January 21 the first adjusting seminar of Research Group "Machine Learning and Social Computing" took a place. Current plans and the main ideas about future work were discussed; design and some results of researches on social algorithms in online games and eSports were presented.