Alexey L. Myachin
- Associate Professor:Faculty of Economic Sciences / Department of Mathematics
- Senior Research Fellow:International Centre of Decision Choice and Analysis
- Alexey L. Myachin has been at HSE University since 2013.
Education and Degrees
- 2017
Candidate of Sciences* (PhD)
HSE University - 2013
Degree
Moscow University of Humanities - 2012
Degree
National Institute of Business - 2012
Degree
Moscow University of Humanities
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 "Future Professoriate" (2020-2021)
Category "New Researchers" (2014)
Courses (2022/2023)
- Analysis of Heterogeneous Data and Data Pattern Analysis (Master’s programme; Faculty of Social Sciences; 1 year, 3, 4 module)Rus
- Analysis of Heterogeneous Data and Data Pattern Analysis (Mago-Lego; 3, 4 module)Rus
- Mathematics 1 (Bachelor’s programme; Graduate School of Business; 1 year, 1, 2 module)Eng
- Mathematics for Political Decisions Making (Bachelor’s programme; Faculty of World Economy and International Affairs; 1 year, 1 module)Rus
- Methods of Decision-Making (Bachelor’s programme; Faculty of Social Sciences; 3 year, 1, 2 module)Eng
- Public Management Decision-making (Master’s programme; Faculty of Social Sciences; 1 year, 3, 4 module)Rus
- Quantitative Methods for Management Decisions (Bachelor’s programme; Graduate School of Business; 3 year, 4 module)Rus
- Past Courses
Courses (2021/2022)
- Advanced Qualitative Methods of Public Decision-Making (Postgraduate course’s programme; 2 year, 1 semester)Rus
- Analysis of Heterogeneous Data and Data Pattern Analysis (Master’s programme; Faculty of Social Sciences; 1 year, 3, 4 module)Rus
- Mathematics for Political Decisions Making (Bachelor’s programme; Faculty of World Economy and International Affairs; 1 year, 1 module)Rus
- Methods of Decision-Making (Bachelor’s programme; Faculty of Social Sciences; 3 year, 1, 2 module)Eng
- Political and Administrative Decision Making (Master’s programme; Faculty of Social Sciences; 1 year, 3, 4 module)Rus
- Public Management Decision-making (Master’s programme; Faculty of Social Sciences; 1 year, 3, 4 module)Rus
- Quantitative Methods for Management Decisions (Bachelor’s programme; Graduate School of Business; 3 year, 4 module)Rus
Courses (2020/2021)
- Analysis of Heterogeneous Data and Data Pattern Analysis (Master’s programme; Faculty of Social Sciences; 1 year, 3, 4 module)Rus
- Mathematics for Political Decisions Making (Bachelor’s programme; Faculty of World Economy and International Affairs; 1 year, 1, 2 module)Rus
- Methods of Decision-Making (Bachelor’s programme; Faculty of Social Sciences; 3 year, 1, 2 module)Eng
- Political and Administrative Decision Making (Master’s programme; Faculty of Social Sciences; 1 year, 3, 4 module)Rus
- Public Management Decision-making (Master’s programme; Faculty of Social Sciences; 1 year, 2-4 module)Rus
Courses (2019/2020)
- Analysis of Heterogeneous Data and Data Pattern Analysis (Master’s programme; Faculty of Social Sciences; 1 year, 3, 4 module)Rus
Instrumental methods for digital economics (Bachelor’s programme; Faculty of Economic Sciences; field of study "38.03.01. Экономика", field of study "38.03.01. Экономика"; 2 year, 1, 2 module)Rus
- Mathematics for Political Decisions Making (Bachelor’s programme; Faculty of World Economy and International Affairs; 1 year, 1, 2 module)Rus
- Methods of Decision-Making (Bachelor’s programme; Faculty of Social Sciences; 3 year, 1, 2 module)Eng
- Political and Administrative Decision Making (Master’s programme; Faculty of Social Sciences; 1 year, 3, 4 module)Rus
- Public Management Decision-making (Master’s programme; Faculty of Social Sciences; 1 year, 2-4 module)Rus
Courses (2018/2019)
- Data Pattern Analysis (Master’s programme; Faculty of Social Sciences; 1 year, 4 module)Rus
- Mathematics for Political Decisions Making (Bachelor’s programme; Faculty of World Economy and International Affairs; 1 year, 1, 2 module)Rus
- Methods of Decision-Making (Bachelor’s programme; Faculty of Social Sciences; 3 year, 1, 2 module)Eng
- Political and Administrative Decision Making (Master’s programme; Faculty of Social Sciences; 1 year, 3, 4 module)Rus
- Public Management Decision-making (Master’s programme; Faculty of Social Sciences; 1 year, 3, 4 module)Rus
Courses (2017/2018)
- Calculus (Bachelor’s programme; Faculty of World Economy and International Affairs; 1 year, 1-3 module)Rus
- Linear Algebra (Bachelor’s programme; Faculty of World Economy and International Affairs; 1 year, 1, 2 module)Rus
- Mathematics for Political Decisions Making (Bachelor’s programme; Faculty of World Economy and International Affairs; 1 year, 1, 2 module)Rus
Conferences
- 2022
XXIII Ясинская международная научная конференция по проблемам развития экономики и общества (Москва). Presentation: Снижение размерности данных при использовании методов анализа паттернов
- 2022 9th International Conference on Computers Communications and Control (ICCCC) (Орадя). Presentation: Short-Term Covid-19 Incidence Prediction in Countries Using Clustering and Regression Analysis
- Computing Conference 2022 (SAI) (Лондон). Presentation: Finding Structurally Similar Objects Based on Data Sorting Methods
- 20208th International Conference on Computers Communications and Control (ICCCC) (Орадя). Presentation: The Study of Trajectories of the Development of State Capacity Using Ordinal-Invariant Pattern Clustering and Hierarchical Cluster Analysis,
- 2019XX Апрельская международная конференция по проблемам развития экономики и общества (Москва). Presentation: Анализ государственной состоятельности с использованием методов кластерного анализа и анализа паттернов
- Industrial Conference on Data Mining (ICDM2019) (New York). Presentation: A Symmetry of the Data Pattern Structure
- Двенадцатая международная конференция «Управление развитием крупномасштабных систем» (MLSD’2019) (Москва). Presentation: Паттерны данных в системе параллельных координат
- Двенадцатая международная конференция «Управление развитием крупномасштабных систем» (MLSD’2019) (Москва). Presentation: Паттерны данных в системе параллельных координат
- XII Конвент Российской ассоциации международных исследований (Москва). Presentation: Анализ паттернов и кластеризация в исследовании государственной состоятельности
- 2018
XIX Апрельская международная научная конференция по проблемам развития экономики и общества (Москва). Presentation: Метод анализа паттернов, основанный на парном сравнении показателей (основные свойства)
- Вторая всероссийская междисциплинарная конференция «СОЦИОФИЗИКА И СОЦИОИНЖЕНЕРИЯ» (Москва). Presentation: Оценка неоднородности систем с использованием методов анализа паттернов
- International Workshop "State Capacity, Power and Influence in World Politics: Concepts and Measurements" (Москва). Presentation: Pattern Analysis of the Power of States
- 29th European Conference on Operational Research EURO2018 (Valencia). Presentation: Pattern analysis methods based on sorting algorithms
IX Московская международная конференция по Исследованию Операций (ORM-2018 Germeyer-100) (Москва). Presentation: Построение индексов оценки неоднородности систем
- 2017Десятая международная конференция «Управление развитием крупномасштабных систем» (MLSD’2017) (Москва). Presentation: Использование методов анализа паттернов в задаче оценки инновационного развития
- Годовая конференция Новой Экономической Ассоциации "Политические системы и экономическое развитие: проблемы взаимосвязи" (Москва). Presentation: Стратификация сообщества экономистов и институты финансирования науки
- 2016IEEE - ICCCC2016 6th International Conference on Computers Communications and Control (Oradea). Presentation: New methods оf pattern analysis in the study of Iris Anderson-Fisher Data
- 28th European Conference on Operational Research EURO2016 (Poznan). Presentation: Heterogeneity of Innovative Activity
- XIII Всероссийская школа-конференция молодых ученых «Управление большими системами» (Самара). Presentation: Новые методы анализа паттернов на примере набора данных "Balance Scale Data Set"
- VIII МОСКОВСКАЯ МЕЖДУНАРОДНАЯ КОНФЕРЕНЦИЯ ПО ИССЛЕДОВАНИЮ ОПЕРАЦИЙ (ORM2016) (Москва). Presentation: Порядково-инвариантная паттерн-кластеризация: свойства и сравнение с известными методами кластерного анализа
VIII МОСКОВСКАЯ МЕЖДУНАРОДНАЯ КОНФЕРЕНЦИЯ ПО ИССЛЕДОВАНИЮ ОПЕРАЦИЙ (ORM2016) (Москва). Presentation: Порядково-инвариантная паттерн-кластеризация: свойства и сравнение с известными методами кластерного анализа
- 20145-th International Conference on Computers Communications and Control (Орадя). Presentation: New high-precision efficient models of pattern analysis
- The Second International Conference on Information Technology and Quantitative Management (ITQM 2014) (Москва). Presentation: Analysis of global data education and patent activity using new methods of pattern analysis
- Optimization, Control and Applications in the Information Age (Chalkidiki, Central Makedonia). Presentation: Pattern Analysis and Its Application to Electoral Data in Russia
- 20-th Conference of the International Rederation of Operational Research Societies (Барселона). Presentation: Method of pattern analysis: new algorithms
- Математическое моделирование развивающейся экономики, экологии и технологий (ЭКОМОД-2014) (Москва). Presentation: Применение новых методов анализа паттернов при исследовании экономических показателей РФ
- 2013Второй Российский экономический конгресс (Суздаль Владимирской обл.). Presentation: Анализ данных науки, образования и инновационной деятельности с использованием методов анализа паттернов
- 26th European conference on operational research (Рим). Presentation: Pattern analysis in the study of science, education and innovation activity in Russian regions
- VII Московская международная конференция по исследованию операций (ORM2013) (Москва). Presentation: Анализ данных образования и патентной активности с использованием методов анализа паттернов
- XIV Международная научная конференция “Модернизация России: ключевые проблемы и решения”. (Москва). Presentation: Анализ данных науки, образования и инновационной деятельности с использованием методов анализа паттернов
Dissertation for a degree of Candidate of Science
A. L. Myachin Индексы неоднородности инновационного развития
Publications12
- Chapter Fuad Aleskerov, Demin S., Alexey Myachin, Vyacheslav Yakuba. Short-Term Covid-19 Incidence Prediction in Countries Using Clustering and Regression Analysis, in: 9th International Conference on Computers Communications and Control (ICCCC) 2022 Vol. 1435. Springer, 2023. doi P. 333-342. doi
- Chapter Myachin A. L. Finding Structurally Similar Objects Based on Data Sorting Methods, in: Intelligent Computing: Proceedings of the 2022 Computing Conference, Volume 1. Springer, 2022. doi P. 826-835. doi
- Article Prokofiev V. N., Myachina K., Myachin A. L. Studying the indicators of regional sports development in Russian Federation / Пер. с рус. // Control Sciences. 2021. Vol. 3. P. 50-57. doi
- Chapter Myachin A. L., Akhremenko A. S. The Study of Trajectories of the Development of State Capacity Using Ordinal-Invariant Pattern Clustering and Hierarchical Cluster Analysis, in: Intelligent Methods in Computing, Communications and Control Vol. 1243. Springer, 2021. P. 198-205. doi
- Chapter Myachin A. L. Innovation Development: Review and Estimation of Heterogeneity, in: Proceedings of the 20th International Conference on Group Decision and Negotiation. Ryerson University, 2020. P. 22.1-22.10.
- Chapter Myachin A. L., Mirkin B. Ordinal Equivalence Classes for Parallel Coordinates, in: Intelligent Data Enginneering and Automated Learning - IDEAL2019 Vol. 2. Springer, 2019. doi P. 525-533. doi
- Article Myachin A. L. Pattern Analysis in Parallel Coordinates Based on Pairwise Comparison of Parameters / Пер. с рус. // Automation and Remote Control. 2019. Vol. 80. No. 1. P. 112-123. doi
- Chapter Myachin A. L. New methods of pattern analysis in the study of Iris Anderson-Fisher Data, in: 6th International Conference on Computers Communications and Control (ICCCC) 2016. Oradea : Agora University, 2016. P. 97-102. doi
- Chapter Aleskerov F. T., Egorova L. G., Gokhberg L., Myachin A. L., Sagieva G. S. A Method of Static and Dynamic Pattern Analysis of Innovative Development of Russian Regions in the Long Run, in: Springer Proceedings in Mathematics and Statistics. Volume 104 Models, Algorithms and Technologies for Network Analysis. L., NY, Dordrecht, Heidelberg, Cham : Springer, 2014. Ch. 1. P. 1-8.
- Article Myachin A. L. Analysis of global data education and patent activity using new methods of pattern analysis // Procedia Computer Science. 2014. No. 31. P. 468-473. doi
- Preprint Aleskerov F. T., Froumin I., Kardanova E., Ivanova A., Myachin A. L., Serova A. V., Yakuba V. I. Heterogeneity of the educational system: an introduction to the problem / Издательский дом ВШЭ. Series WP7 "Математические методы анализа решений в экономике, бизнесе и политике". 2014.
- Article Aleskerov F., Gokhberg L., Egorova L., Myachin A., Sagieva G. Pattern Analysis in the Study of Science, Education and Innovative Activity in Russian Regions // Procedia Computer Science. 2013. Vol. 17. P. 687-694. doi
Employment history
2017-present – Associate Professor, Department of Mathematics of Faculty of Economic Science, National Research University Higher School of Economics
2017-present – Senior Research Fellow, International Laboratory of Decision Choice and Analysis, National Research University Higher School of Economics
2017-present – Senior Research Fellow, Laboratory of Theory of Choice and Decision Analysis, Institute of Control Science of Russian Academy of Science
2016-2017 – Junior Research Fellow, International Laboratory of Decision Choice and Analysis, National Research University Higher School of Economics
2013-2017 – Lecturer, Department of Mathematics of Faculty of Economic Science, National Research University Higher School of Economics
2013-2017 - Junior Research Fellow, Laboratory of Theory of Choice and Decision Analysis, Institute of Control Science of Russian Academy of Science
2013-2016 – Research Assistant, International Laboratory of Decision Choice and Analysis, National Research University Higher School of Economics
How Following the Law Helps to Fight the COVID 19 Pandemic
Mathematicians of the Higher School of Economics have calculated the effectiveness of measures taken to fight the coronavirus epidemic in different countries. They have concluded that the scale of anti-epidemic measures does not necessarily directly affect the disease rate, suggesting that one of the main reasons for this is the willingness of citizens to clearly, honestly and consistently comply with anti-epidemic measures.
Autumn School "The modern methods and models of the individual and collective choice and decision-making theory with application to network data analysis, aggregation problems, influence indices" was held at DeCAn lab
On November 12-15, the Autumn school on modern methods and models of the individual and collective choice and decision-making theory with application to network data analysis, aggregation problems, influence indices was opened. The event is organized by the International Laboratory of Decision Choice and Analysis (DeCAn lab). Among the invited lecturers there are outstanding academics and researchers: Hans Peters (Maastricht University, Netherlands), Kanak Patel (Cambridge University, UK), Laszlo Koczy (Centre for Economic and Regional Studies, Hungary), Anna Khmelnitskaya (St Petersburg University, Russia), Peter Emerson (de Borda Institute, UK).