Sergey Shvydun
- Associate Professor:Faculty of Economic Sciences / Department of Mathematics
- Sergey Shvydun has been at HSE University since 2010.
Education and Degrees
- 2020
Candidate of Sciences* (PhD) in Applied Mathematics (cum laude)
HSE University
Thesis Title: Superposition models in data analysis - 2020
Doctoral programme in Informatics and Computer Engineering
HSE University - 2014
Master's in Business Informatics
HSE University - 2012
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.
Young Faculty Support Program (Group of Young Academic Professionals)
Category "New Lecturers under 30" (2019-2020)
Category "New Researchers" (2015-2016)
Courses (2023/2024)
- Linear Algebra (Bachelor’s programme; Graduate School of Business; 1 year, 1, 2 module)Eng
- Research Seminar "Applied Problems of Decision Making" (Bachelor’s programme; Faculty of Computer Science; 3 year, 1-4 module)Rus
- Research Seminar "Applied Problems of Decision Making 2" (Bachelor’s programme; Faculty of Computer Science; 4 year, 1-3 module)Rus
- Past Courses
Courses (2022/2023)
- Game Modules of Decision Making (Bachelor’s programme; Graduate School of Business; 3 year, 4 module)Rus
- Linear Algebra (Bachelor’s programme; Faculty of World Economy and International Affairs; 1 year, 1, 2 module)Rus
- Linear Algebra (Bachelor’s programme; Graduate School of Business; 1 year, 1, 2 module)Rus
- Linear Algebra (Bachelor’s programme; Graduate School of Business; 1 year, 1, 2 module)Eng
- Quantitative Methods for Management Decisions (Bachelor’s programme; Graduate School of Business; 2 year, 1, 2 module)Rus
Courses (2021/2022)
- Calculus (Bachelor’s programme; Graduate School of Business; 1 year, 3, 4 module)Eng
- Game Modules of Decision Making (Bachelor’s programme; Graduate School of Business; 3 year, 3 module)Rus
- Instrumental Methods for Digital Economics (Bachelor’s programme; Faculty of Economic Sciences; 4 year, 1, 2 module)Rus
- Instrumental Methods for Digital Economics (Bachelor’s programme; Faculty of Economic Sciences; 3 year, 1, 2 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
- Linear Algebra (Bachelor’s programme; Faculty of World Economy and International Affairs; 1 year, 1, 2 module)Rus
- Linear Algebra (Bachelor’s programme; Graduate School of Business; 1 year, 1, 2 module)Rus
- Predictive Modelling (Master’s programme; Graduate School of Business; 2 year, 1, 2 module)Eng
Courses (2020/2021)
- Calculus (Bachelor’s programme; Graduate School of Business; 1 year, 3, 4 module)Eng
- Economic and Mathematic Modeling (Master’s programme; Graduate School of Business; 1 year, 1 module)Eng
Instrumental methods for digital economics - 2 (Bachelor’s programme; Faculty of Economic Sciences; field of study "38.03.01. Экономика", field of study "38.03.01. Экономика"; 2 year, 3 module)Rus
- Linear Algebra (Bachelor’s programme; Faculty of World Economy and International Affairs; 1 year, 1, 2 module)Rus
- Linear Algebra (Bachelor’s programme; Graduate School of Business; 1 year, 1-3 module)Rus
- Predictive Modelling (Master’s programme; Graduate School of Business; 2 year, 1, 2 module)Eng
- Research Project Seminar (Optional course (faculty); Faculty of Economic Sciences; 1-3 module)Rus
Courses (2019/2020)
- Algebra and Geometry (Bachelor’s programme; Graduate School of Business; 1 year, 1, 2 module)Rus
- Game Modules of Decision Making (Bachelor’s programme; Graduate School of Business; 2 year, 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
- Linear Algebra (Bachelor’s programme; Faculty of World Economy and International Affairs; 1 year, 1, 2 module)Rus
- Optimization Methods (Bachelor’s programme; Graduate School of Business; 2 year, 4 module)Rus
Courses (2018/2019)
- Algebra and Geometry (Bachelor’s programme; Graduate School of Business; 1 year, 1, 2 module)Rus
Discrete Models in Economics (Bachelor’s programme; Faculty of Economic Sciences; field of study "38.03.01. Экономика", field of study "38.03.01. Экономика"; 2 year, 3 module)Rus
- Linear Algebra (Bachelor’s programme; Faculty of World Economy and International Affairs; 1 year, 1, 2 module)Rus
- Research Seminar "Applied Problems of Decision Making 1" (Bachelor’s programme; Faculty of Computer Science; 3 year, 1-4 module)Rus
Courses (2017/2018)
- Algebra and Geometry (Bachelor’s programme; Graduate School of Business; 1 year, 1, 2 module)Rus
Discrete Models in Economics (Bachelor’s programme; Faculty of Economic Sciences; field of study "38.03.01. Экономика", field of study "38.03.01. Экономика"; 2 year, 3 module)Eng
Conferences
- 2023XXIV Ясинская (Апрельская) международная научная конференция по проблемам развития экономики и общества (Москва). Presentation: Centrality in Network Structures and its Properties
- 2022ICCCC2022: 2022 9th International Conference on Computers Communications and Control (ICCCC) (Oradea). Presentation: The Impact of COVID-19 on the Air Transportation Network
- 2020The 2020 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM 2020) (The Hague). Presentation: Dynamic Analysis of the Global Financial Network
- 2019XX Апрельская международная научная конференция по проблемам развития экономики и общества (Москва). Presentation: Stability measures in network structures based on their topology
- SATA-Society and Advanced Technology in the Arctic (Longyearbyen). Presentation: Superposition (Composition) Models in Data Analysis
- The 8th International Conference on Complex Networks and their Applications (Lisbon). Presentation: Influence of Countries in the Global Arms Transfers Network: 1950–2018
- 2018Семинар "Математическая экономика" (Москва). Presentation: Распределение спорных территорий в Арктическом регионе
- The 8th International Conference on Network Analysis (Москва). Presentation: Computational Complexity of SRIC and LRIC indices
- International Workshop "State Capacity, Power and Influence in World Politics: Concepts and Measurements" (Москва). Presentation: Network Analysis of Conflicts
29th European Conference on Operational Research EURO2018 (Valencia). Presentation: On various solutions of areas allocation problem
- Общемосковский научный семинар "Математические методы анализа решений в экономике, бизнесе и политике" (Москва). Presentation: Модели суперпозиции в анализе данных
- The Sixth International Conference on Information Technology and Quantitative Management (ITQM 2018) (Omaha). Presentation: Influence Assessment in Multiplex Networks using Social Choice Rules
- 7th International Conference on Complex Networks and Their Applications (Кембридж). Presentation: Stability and Similarity in Networks Based on Topology and Nodes Importance
- 2017Second World Congress of Comparative Economics «1917 –2017: Revolution and Evolution in Economic Development» (St. Petersburg). Presentation: Foreign Claims Market Analysis from the Network Perspective: Statics and Dynamics
- 21st Conference of the International Federation of Operational Research Societies (IFORS 2017) (Quebec). Presentation: Conflict resolution models in the Arctic region
- 11th IEEE International Conference on Application of Information and Communication Technologies (AICT2017) (Москва). Presentation: Centrality Measures and Clustering Analysis in a Retail Food Network
- School «Decision making in network context» (Москва). Presentation: Influence Estimation in Networks of Citations, Inter-state Conflicts and Food Security
- UTFORSK Norwegian-Russian Workshop on Arctic Logistics (Молде). Presentation: Allocation of Disputable Zones in the Arctic Region
- Общемосковский семинар "Экспертные оценки и анализ данных" (Москва). Presentation: Новые методы в библиометрическом анализе
- 6th International Conference on Complex Networks and Their Applications (Лион). Presentation: Power in Network Structures Based on Simulations
- 2016IEEE - ICCCC2016 6th International Conference on Computers Communications and Control (Oradea). Presentation: Centrality Measures in Large and Sparse Networks
- The 6th International Conference on Network Analysis (Nizhny Novgorod). Presentation: Network Analysis of International Migration
- 28th European Conference on Operational Research EURO2016 (Poznan). Presentation: On the similarity of central nodes in complex and sparse networks
- XIII Всероссийская школа-конференция молодых ученых «Управление большими системами» (Самара). Presentation: Влияние в сетевых структурах с использованием индексов дальних взаимодействий
HR&Trainings EXPO 2016 (Москва). Presentation: Многовекторная модель найма персонала
Conference Participations
- 3rd International Workshop “Models of Influence and Network Theory” (MINT3), 14-15 May 2012, Paris, France (Topic:"Over-lath superposition algorithm and its use to the ranking of options in the problem of search");
- 1st International Conference on Information Technology and Quantitative Management (ITQM 2013), 16-18 May 2013, Suzhou, China (Topic: "Super-threshold Procedures and Their Application to the Search Problem")
- 5th International Conference on Computers Communications and Control (ICCCC 2014), 7-9 May 2014, Oradea, Romania (Topic: "A Computer System for an Effective Personnel Selection" and "A Mathematical Model of an Effective Personnel Selection in Network Structures")
- 2nd International Conference on Information Technology and Quantitative Management (ITQM 2014), 3-5 June 2014, Moscow, Russia (Topic: "An Effective personnel selection model")
- 20th Conference of the International Federation of Operational Research Societies (IFORS 2014), 13-18 July 2014, Barcelona, Spain (Topic: "Two-Stage Superposition Choice Procedures and their Properties")
- 3rd International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences (MCO 2015), 11-13 May 2015, Metz, France (Topic: "Properties and Complexity of Some Superposition Choice Procedures")
- 27th European Conference on Operational Research (EURO2015), 12-15 July 2015, Glasgow, UK (Topic: "Normative properties of the superposition of multi-criteria choice procedures")
Dissertation for a degree of Candidate of Science
2020
S. Shvydun Superposition models in data analysis
20232
- Article Shvydun S. Models of Similarity in Complex Networks // PeerJ Computer Science. 2023. Vol. 9. Article e1371 . doi
- Chapter Shvydun S. The Impact of COVID-19 on the Air Transportation Network, in: Advances in Intelligent Systems and Computing Vol. 1435: Intelligent Methods Systems and Applications in Computing, Communications and Control. ICCCC 2022. Cham: Springer, 2023. P. 94-104. doi
20221
Book Aleskerov F. T., Shvydun S., Meshcheryakova N. New Centrality Measures in Networks: How to Take into Account the Parameters of the Nodes and Group Influence of Nodes to Nodes. Boca Raton: CRC Press, 2022. doi
202010
- Chapter Demin S., Shvydun S. Analysis of Disputed Territories in the Barents Sea, in: Lecture Notes in Business Information Processing Vol. 388: Group Decision and Negotiation: A Multidisciplinary Perspective: 20th International Conference on Group Decision and Negotiation, GDN 2020, Toronto, ON, Canada, June 7–11, 2020, Proceedings. Cham: Springer, 2020. doi P. 32-44. doi
- Chapter Shvydun S. Computational Complexity of SRIC and LRIC Indices, in: Network Algorithms, Data Mining, and Applications. Springer Proceedings in Mathematics & Statistics / Ed. by I. S. Bychkov, V. A. Kalyagin, P. M. Pardalos, O. Prokopyev. Vol. 315. Springer, 2020. doi P. 49-70. doi
- Article Aleskerov F. T., Demin S., Richman M., Shvydun S., Trafalis T. B., Yakuba V. I. Constructing an Efficient Machine Learning Model for Tornado Prediction // International Journal of Information Technology and Decision Making. 2020. Vol. 19. No. 5. P. 1177-1187. doi
- Chapter Shvydun S. Dynamic Analysis of the Global Financial Network, in: 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). IEEE, 2020. doi P. 374-378. doi
- Chapter Aleskerov F. T., Meshcheryakova N., Shvydun S. Indirect Influence Assessment in the Context of Retail Food Network, in: Network Algorithms, Data Mining, and Applications. Springer Proceedings in Mathematics & Statistics / Ed. by I. S. Bychkov, V. A. Kalyagin, P. M. Pardalos, O. Prokopyev. Vol. 315. Springer, 2020. doi P. 143-160. doi
- Chapter Shvydun S. Influence of Countries in the Global Arms Transfers Network: 1950–2018, in: Studies in Computational Intelligence Vol. 882: Complex Networks and Their Applications VIII. Part 2. Springer, 2020. doi P. 736-748. doi
- Chapter Aleskerov F. T., Andrievskaya I. K., Nikitina A., Shvydun S. Key Borrowers Detected by the Intensities of Their Interactions, in: Handbook of Financial Econometrics, Mathematics, Statistics, and Machine Learning (In 4 Volumes). World Scientific, 2020. P. 355-389. doi
- Article Aleskerov F. T., Gavrilenkova I., Shvydun S., Yakuba V. I. Power Distribution in the Networks of Terrorist Groups: 2001–2018 // Group Decision and Negotiation. 2020. Vol. 29. No. 3. P. 399-424. doi
- Chapter Shvydun S. Power of Nodes Based on Their Interdependence, in: Complex Networks XI. Proceedings of the 11th Conference on Complex Networks CompleNet 2020. Springer, 2020. P. 70-82. doi
- Article Fuad Aleskerov, Demin S., Shvydun S. Superposition of Choice Functions and Its Application to Tornado Prediction and Search Problems // SN Computer Science. 2020. Vol. 1. No. 2. Article 68. doi
20194
- Article Aleskerov F. T., Shvydun S. Allocation of Disputable Zones in the Arctic Region // Group Decision and Negotiation. 2019. Vol. 28. No. 1. P. 11-42. doi
- Chapter Aleskerov F. T., Gavrilenkova I., Shvydun S., Yakuba V. I. Power Distribution in the Networks of Terrorist Groups: 2001-2016, in: Local Proceedings of Group Decision and Negotiation 2019. Loughborough, UK: , 2019. P. 1-10.
- Chapter Aleskerov F. T., Shvydun S. Stability and Similarity in Networks Based on Topology and Nodes Importance, in: Studies in Computational Intelligence Vol. 812: Complex Networks and Their Applications VII. Part 1. Springer, 2019. doi P. 94-103. doi
- Chapter Швыдун С. В. Оценка влияния в многослойных сетях с использованием правил коллективного выбора // В кн.: XIII Всероссийское совещание по проблемам управления ВСПУ-2019: труды. М. : ИПУ РАН, 2019. С. 1852-1857.
20183
- Chapter Shvydun S. Influence Assessment in Multiplex Networks using Social Choice Rules, in: Procedia Computer Science Vol. 139: 6th International Conference on Information Technology and Quantitative Management. Elsevier, 2018. P. 182-189. doi
- Chapter Meshcheryakova N., Shvydun S. Power in Network Structures Based on Simulations, in: Studies in Computational Intelligence Vol. 689: Complex Networks & Their Applications VI. Springer, 2018. doi P. 1028-1038. doi
- Chapter Алескеров Ф. Т., Демин С. С., Швыдун С. В. Анализ территориальных интересов стран в Баренцевом море // В кн.: Труды IX Московской международной конференции по исследованию операций (ORM2018) Т. 2. М. : ООО «Макс Пресс», 2018. С. 443-447. doi
20178
- Chapter Aleskerov F. T., Shvydun S. A Mathematical Approach to Conflict Resolution in the Arctic Region, in: 2017 3rd IEEE International Conference on Cybernetics (CYBCON). Exeter : IEEE, 2017. P. 145-150. doi
- Chapter Aleskerov F. T., Сергеева З. В., Shvydun S. Assessment of Exporting Economies Influence on the Global Food Network, in: Optimization Methods and Applications, In Honor of Ivan V. Sergienko's 80th Birthday, Springer Optimization and Its Applications / Сост.: S. Butenko, P. M. Pardalos, V. Shylo. Vol. 130. Springer, 2017. doi P. 1-10. doi
- Chapter Aleskerov F. T., Meshcheryakova N., Сергеева З. В., Shvydun S. Centrality Measures And Clustering Analysis in a Retail Food Network, in: 2017 IEEE 11th International Conference on Application of Information and Communication Technologies / Ed. by Д. А. Новиков. Vol. 1. M. : Institute of Electrical and Electoronics Engineers, 2017. P. 48-52.
- Chapter Demin S., Shvydun S. Example of Rational Solution in the Barents Sea, in: 2017 IEEE 11th International Conference on Application of Information and Communication Technologies Vol. 2. Institute of Electrical and Electoronics Engineers, 2017. P. 251-255.
- Chapter Aleskerov F. T., Meshcheryakova N., Rezyapova A., Shvydun S. Network Analysis of International Migration, in: 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 P. 177-185. doi
- Chapter Aleskerov F. T., Meshcheryakova N., Shvydun S. Power in Network Structures, in: 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 P. 79-85. doi
- Chapter Shvydun S. Superposition Models of Conflict Resolution in the Arctic Region, in: Управление развитием крупномасштабных систем (MLSD'2017): Материалы Десятой международной конференции, 2 окт. - 4 окт. 2017 г. / Под общ. ред.: С. Н. Васильев, А. Цвиркун. Т. 2: Пленарные доклады, секции 5 - 13. Институт проблем управления им. В.А. Трапезникова РАН, 2017. P. 452-455.
- Chapter Алескеров Ф. Т., Мещерякова Н. Г., Швыдун С. В., Сергеева З. В. Сетевой анализ продовольственной безопасности // В кн.: Управление развитием крупномасштабных систем (MLSD'2017): Материалы Десятой международной конференции, 2 окт. - 4 окт. 2017 г. / Под общ. ред.: С. Н. Васильев, А. Цвиркун. Т. 2: Пленарные доклады, секции 5 - 13. Институт проблем управления им. В.А. Трапезникова РАН, 2017. С. 303-306.
201611
- Article Алескеров Ф. Т., Бадгаева Д. Н., Писляков В. В., Стерлигов И. А., Швыдун С. В. 3начимость основных российских и международных экономических журналов: сетевой анализ // Журнал Новой экономической ассоциации. 2016. Т. 2. № 30. С. 193-207.
- Chapter Aleskerov F. T., Meshcheryakova N., Shvydun S., Yakuba V. I. Centrality Measures in Large and Sparse Networks, in: 6th International Conference on Computers Communications and Control (ICCCC) 2016. Oradea : Agora University, 2016. P. 118-123. doi
- Preprint Aleskerov F. T., Meshcheryakova N., Shvydun S. Centrality Measures in Networks based on Nodes Attributes, Long-Range Interactions and Group Influence / Издательский дом ВШЭ. Series WP7 "Математические методы анализа решений в экономике, бизнесе и политике". 2016. No. WP7/2016/04.
- Preprint Aleskerov F. T., Baiborodov N., Demin S., Richman M., Shvydun S., Trafalis T., Yakuba V. I. Constructing an efficient machine learning model for tornado prediction / NRU Higher School of Economics. Series WP7 "Математические методы анализа решений в экономике, бизнесе и политике". 2016.
- Chapter Abankina I., Aleskerov F. T., Belousova V., Gokhberg L., Zinkovsky K., Kiselgof S. G., Petrushchenko S., Shvydun S. Construction of Universities' Typology via DEA, in: Data Envelopment Analysis and its Applications. Proceedings of the 13th International Conference of DEA. Braunschweig : , 2016. doi P. 25-33. doi
- Article Abankina I., Aleskerov F. T., Belousova V., Gokhberg L., Kiselgof S. G., Petrushchenko S., Shvydun S., Zinkovsky K. From equality to diversity: Classifying Russian universities in a performance oriented system // Technological Forecasting and Social Change. 2016. No. 103. P. 228-239. doi
- Preprint Aleskerov F. T., Meshcheryakova N., Nikitina A., Shvydun S. Key Borrower Detection by Long-Range Interactions / National Research University Higher School of Economics. Series WP BRP "Basic research program". 2016. No. 56.
- Preprint Aleskerov F. T., Meshcheryakova N., Rezyapova A., Shvydun S. Network analysis of international migration / Издательский дом ВШЭ. Series WP7 "Математические методы анализа решений в экономике, бизнесе и политике". 2016. No. WP7/2016/06.
- Article Алескеров Ф. Т., Мещерякова Н. Г., Резяпова А. Н., Швыдун С. В. Анализ влияния стран в сети международной миграции // Политическая наука. 2016. № 4. С. 137-158.
- Chapter Алескеров Ф. Т., Мещерякова Н. Г., Швыдун С. В. Влияние в сетевых структурах с использованием индексов дальних взаимодействий // В кн.: Управление большими системами (УБС’2016). М. : ИПУ РАН, 2016. С. 13-22.
- Article Алескеров Ф. Т., Курапова М. С., Мещерякова Н. Г., Миронюк М. Г., Швыдун С. В. Сетевой подход в изучении межгосударственных конфликтов // Политическая наука. 2016. № 4. С. 111-136.
20154
- Preprint Shvydun S. Normative properties of multi-criteria choice procedures and their superpositions: I / Издательский дом ВШЭ. Series WP7 "Математические методы анализа решений в экономике, бизнесе и политике". 2015. No. WP7/2015/07.
- Preprint Shvydun S. Normative properties of multi-criteria choice procedures and their superpositions: II / NRU Higher School of Economics. Series WP7 "Математические методы анализа решений в экономике, бизнесе и политике". 2015. No. WP7/2015/07.
- Preprint Abankina I., Aleskerov F. T., Belousova V., Gokhberg L., Zinkovsky K., Kiselgof S. G., Petrushchenko S., Shvydun S. Performance-Based Typology Of Universities: Evidence From Russia / NRU Higher School of Economics. Series WP BRP "Science, Technology and Innovation". 2015. No. WP BRP 33/STI/2015.
- Chapter Shvydun S. Properties and Complexity of Some Superposition Choice Procedures, in: Advances in Intelligent Systems and Computing / Ed. by J. Kacprzyk. Issue 360: Modelling, Computation and Optimization in Information Systems and Management Sciences. Metz : Springer, 2015. P. 475-486.
20144
- Article Kalugina E. O., Shvydun S. An Effective Personnel Selection Model // Procedia Computer Science. 2014. No. 31. P. 1102-1106. doi
- Article Aleskerov F. T., Mitichkin Y. O., Chistyakov V., Shvydun S., Yakuba V. I. Method for selecting valid variants in search and recommendation systems (variants) // World Intellectual Property Organization. 2014. No. Publication Number WO/2014/148948, International Application Number PCT/RU2013/001180
- Chapter Швыдун С. В. Исследование нормативных свойств двухступенчатых процедур выбора // В кн.: XII Всероссийское совещание по проблемам управления. ВСПУ-2014. Москва, 16-19 июня 2014 г.: Труды [Электронный ресурс]. М. : Институт проблем управления им. В.А. Трапезникова РАН, 2014. С. 7977-7985.
- Chapter Абанкина И. В., Алескеров Ф. Т., Белоусова В. Ю., Зиньковский К. В., Кисельгоф С. Г., Швыдун С. В. Типология российских вузов с учетом индикаторов научной и инновационной деятельности // В кн.: XIV Апрельская международная научная конференция по проблемам развития экономики и общества: в 4-х книгах. Книга 3 / Отв. ред.: Е. Г. Ясин. М. : Издательский дом НИУ ВШЭ, 2014. С. 321-327.
20132
- Article Fuad Aleskerov, Evgeny Mitichkin, Sergey Shvydun, Vyacheslav Yakuba. Super-threshold Procedures and Their Application to the Search Problem // Procedia Computer Science. 2013. No. 17. P. 1121-1124. doi
- Article Абанкина И. В., Алескеров Ф. Т., Белоусова В. Ю., Гохберг Л. М., Зиньковский К. В., Кисельгоф С. Г., Швыдун С. В. Типология и анализ научно-образовательной результативности российских вузов // Форсайт. 2013. Т. 7. № 3. С. 48-63.
Employment history
December 2015 – present: senior research fellow at Laboratory №25, V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences.
January 2017 – August 2020: junior research fellow at International Laboratory of Decision Choice and Analysis, National Research University Higher School of Economics.
October 2012 – December 2015: senior engineer at Laboratory №25, V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences.
July 2010 – December 2016: research assistant at International Laboratory of Decision Choice and Analysis, National Research University Higher School of Economics.
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).
First HSE Researchers to Receive a Patent from US Patent and Trademark Office
The new patented method is based on a superposition of functions and considerably enhances the speed and precision of Big Data processing. The project’s authors are Fuad Aleskerov, Tenured Professor at HSE and Head of the International Laboratory of Decision Choice and Analysis, Laboratory Researchers Sergey Shvydun, Evgeny Mitichkin and Vyacheslav Yakuba, as well as Vyacheslav Chistyakov, Professor at the HSE Campus in Nizhny Novgorod.
Autumn school "Current trends in decision-making analysis". Day 1
On November 7, the Autumn school on Current Trends in Decision-making Analysis opened. The event is organized by the International Laboratory of Decision Choice and Analysis. Among the invited lecturers there are outstanding academics and researchers: Itzhak Gilboa, Theocharis Grigoriadis, Michel Grabisch, Gabrielle Demange, Saptarshi Mukherjee, Stefan Napel, Agnieszka Rusinowska, William Thomson, and Katarína Cechlárová.
Lecture by S. Shvydun on "Superposition Models in Data Analysis"
On Wednesday, October 17 the all-Russian seminar "Mathematical methods of decision analysis in economics, finance and politics" was held. S. Shvydun gave a lecture on "Superposition Models in Data Analysis".
DeCAn Faculty visited Molde University College
Dean of DeCAn laboratory Professor F. Aleskerov with our faculty have visited Molde University College - Specialized University in Logistics from October 7 to October 15 for a joint work on the Norwegian-Russian academic collaboration project "Logistical and environmental management of natural resources development and transportation in the Arctic area (Arctic Logistics)"
School "Decision making in network context" and International Workshop "The 7th Murat Sertel Workshop on Economic Design, Decision, Institutions, and Organization" were held at DeCAn lab
DeCAn lab organized two events which were held from September 25 to September 28 - a school "Decision making in network context" (September 25-26, 2017) and an international workshop "The 7th Murat Sertel Workshop on Economic Design, Decision, Institutions, and Organization" (September 27-28, 2017). DeCAn faculty took part in organizing and holding these events.
DeCAn faculty visited University of Tromsø
Dean of DeCAn laboratory Professor F. Aleskerov with our faculty have visited The University of Tromsø - The Arctic University of Norway from September 10 to September 17 for a joint work with UiT on the project "High North Economics: Learning how economists work and think in Russia and Norway using theoretical models and laboratory experiments".