Sergey Demin
- Junior Research Fellow:International Centre of Decision Choice and Analysis
- Sergey Demin has been at HSE University since 2014.
Education
- 2018
Master's in Data Science
HSE University, Computer Science - 2016
Bachelor's in Applied Mathematics and Information Science
HSE University, Computer Science
Continuing education / Professional retraining / Internships / Study abroad experience
Certificate FFMS 1.0 (Brokerage, dealer, securities management and forex dealer activity)
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", Moscow, Russia, November 12-15, 2019
SVF-8063 Society and Advanced Technology in the Arctic (SATA), Longyearbyen, Norway, October 14-19, 2019
Yandex School of Data Analysis. "Data Analysis" programme. 2016-2018
The 7th Murat Sertel Workshop on Economic Design, Decision, Institutions, and Organization, NRU HSE, September 27-28, 2017, Moscow, Russia (https://msw.hse.ru/)
School "Decision Making in Network Context", NRU HSE, September 25-26, 2017, Moscow, Russia (https://msw.hse.ru/school)
Lecture course on economic theory and experimental economics, Arctic University of Norway (UiT), September 10-17, 2017,Tromso, Norway (https://www.hse.ru/DeCAn/news/209554383.html)
Young Faculty Support Program (Group of Young Academic Professionals)
Category "New Researchers" (2018-2019)
Courses (2022/2023)
- Choice and Decision Theory (Bachelor’s programme; Faculty of Computer Science; 3 year, 1, 2 module)Eng
- Decision Analysis (Master’s programme; Graduate School of Business; 1 year, 1, 2 module)Eng
- Modern Methods of Decision Making and Data Analysis (Master’s programme; Faculty of Economic Sciences; 1 year, 3 module)Rus
- Quantitative Methods for Management Decisions (Bachelor’s programme; Graduate School of Business; 3 year, 4 module)Rus
- Research Seminar "Mathematical Modeling of Complex Systems" (Bachelor’s programme; Graduate School of Business; 4 year, 1, 2 module)Rus
- Special chapters of decision theory (Bachelor’s programme; Graduate School of Business; 4 year, 3 module)Rus
- Past Courses
Courses (2021/2022)
- Decision Analysis (Master’s programme; Graduate School of Business; 1 year, 1, 2 module)Eng
- Decision Making under Risk and Uncertainty (Bachelor’s programme; Faculty of Computer Science; 4 year, 1, 2 module)Rus
- Decision Making under Risk and Uncertainty (Bachelor’s programme; Faculty of Computer Science; 3 year, 1, 2 module)Rus
- Modern Methods of Decision Making and Data Analysis (Master’s programme; Faculty of Economic Sciences; 1 year, 3 module)Rus
- Quantitative Methods for Management Decisions (Bachelor’s programme; Graduate School of Business; 3 year, 4 module)Rus
Courses (2020/2021)
- Linear Algebra (Bachelor’s programme; Faculty of Economic Sciences; 1 year, 1, 2 module)Rus
- Mathematics for Economists (Bachelor’s programme; Faculty of Economic 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
- Probability Theory and Mathematical Statistics (Bachelor’s programme; Faculty of Computer Science; 2 year, 1, 2 module)Rus
- Special chapters of decision theory (Bachelor’s programme; Graduate School of Business; 4 year, 3 module)Rus
Courses (2019/2020)
- Mathematic Modelling in Management (Bachelor’s programme; Graduate School of Business; 2 year, 1-3 module)Rus
- Mathematics for Political Decisions Making (Bachelor’s programme; Faculty of World Economy and International Affairs; 1 year, 1, 2 module)Rus
Courses (2018/2019)
- Algebra and Geometry (Bachelor’s programme; Graduate School of Business; 1 year, 1, 2 module)Rus
- Calculus (Bachelor’s programme; Faculty of World Economy and International Affairs; 1 year, 1-4 module)Rus
- Discrete Mathematics (Bachelor’s programme; Graduate School of Business; 1 year, 2-4 module)Rus
- Game Modules of Decision Making (Bachelor’s programme; Graduate School of Business; 2 year, 4 module)Rus
- Optimization Methods (Bachelor’s programme; Graduate School of Business; 2 year, 4 module)Rus
- Qualitative and Quantitative Methods of Elaboration and Adoption of Management Decisions (Bachelor’s programme; Graduate School of Business; 2 year, 1-3 module)Rus
Conferences
- 2022
International Journal of Computers Communications & Control (Орадеа). Presentation: Short-Term Covid-19 Incidence Prediction in Countries Using Clustering and Regression Analysis
- 21st International Conference on Informatics in Economics (Бухарест). Presentation: Models for an Analysis of Companies’ Transactions in the Large Commercial Bank of Russia
- 2021Общемосковский семинар "Экспертные оценки и анализ данных" (Москва). Presentation: Оценка эффективности противопожарной безопасности регионов РФ с помощью интервальных методов оболочечного анализа данных
- KES International COVID-19 Challenge: A Transition to a more Resilient World - International Virtual Summit. Presentation: Three models of the analysis of the pandemic: a quarantine measures aggregation and a life-cycle model, a short-term COVID-19 incidence prediction in countries, and a quarantine measures efficiency assessment by Data Envelopment Analysis
- 5TH INTERNATIONAL CONFERENCE ON DYNAMICS OF DISASTERS, DOD 2021. Presentation: Influence of Potential Oil Spills on Arctic Fauna
- 5TH INTERNATIONAL CONFERENCE ON DYNAMICS OF DISASTERS, DOD 2021. Presentation: COVID-19 Quarantine Measures Efficiency Evaluation by Best Tube Interval Data Envelopment Analysis
- INFORMS Annual Meeting (Анахайм). Presentation: Everything has its own time: a time to hug and a time to stop hugging (Ecclesiastes 3)
- Workshop for PhD students (Москва). Presentation: Data envelopment analysis methods under interval estimates and their applications
- 2020Общемосковский научный семинар "Математические методы анализа решений в экономике, бизнесе и политике" (Москва). Presentation: Оболочечный анализ (DEA): классические и модифицированные модели для оценки эффективности университетов, систем обеспечения безопасности в чрезвычайных ситуациях и др.
- Семинар "Математическая экономика" в ЦЭМИ РАН (Москва). Presentation: Оценка эффективности научных коллективов
- Научный семинар Международного центра анализа и выбора решений (Москва). Presentation: Интервальные методы DEA и их применение для оценки эффективности университетов
- Общемосковский семинар "Экспертные оценки и анализ данных" ИПУ РАН (Москва). Presentation: Оценка эффективности карантинных мер в крупнейших странах мира
- Общемосковский семинар "Математические методы анализа решений в экономике, бизнесе и политике" НИУ ВШЭ (Москва). Presentation: Анализ пандемии и оценка эффективности карантинных мер в крупнейших странах мира
- Экономика и данные: возможности для здравоохранения (Москва). Presentation: Анализ пандемии и эффективности карантинных мер в крупнейших странах мира
- Семинар "Математическая экономика" в ЦЭМИ РАН (Москва). Presentation: Анализ пандемии и оценка эффективности карантинных мер в крупнейших странах мира
- VIII ежегодное заседание Международного экспертного совета по сотрудничеству в Арктике (IECCA) (Москва). Presentation: Modelling Possible Oil Spills in Arctic Seas
- 2019XX Апрельская международная научная конференция по проблемам развития экономики и общества (Москва). Presentation: Simulation of oil spillage in the Arctic region
XIII ВСЕРОССИЙСКОЕ СОВЕЩАНИЕ ПО ПРОБЛЕМАМ УПРАВЛЕНИЯ ВСПУ-2019 (Москва). Presentation: Сетевой анализ международной морской торговли в Арктическом регионе
- 4th International Conference on Dynamics of Disasters (Каламата). Presentation: DEA for the Assessment of Regions Ability to Cope with Disasters
- 12-я международная конференция «Управление развитием крупномасштабных систем» (Москва). Presentation: Проект системы раннего реагирования для устранения последствий разливов нефти в Северном Ледовитом океане
- SVF-8063 Society and Advanced Technology in the Arctic (SATA) (Лонгйир). Presentation: Application of the oil spills simulation model for the Barents Sea
- 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 (Москва). Presentation: Sequential Choice Functions Superposition for the Tornado Prediction
- 2018Научный семинар ИПУ РАН «Экспертные оценки и анализ данных» (Москва). Presentation: Применение метода суперпозиции к предсказанию возникновения торнадо
- Logistics Analytics 2018 (Минск). Presentation: Analysis of international maritime trade network in the Arctic region
- Летняя школа Arctic Logistics (Москва). Presentation: Network analysis of international maritime trade in the Arctic region
- IX Московская международная конференция по Исследованию Операций (ORM-2018 Germeyer-100) (Москва). Presentation: Анализ территориальных интересов стран в Баренцевом море
- Общемосковский семинар "Экспертные оценки и анализ данных" (Москва). Presentation: Оценка эффективности карантинных мер в крупнейших странах мира
- 201710-я Международная конференция "Management of large-scale system development" (Москва). Presentation: Possible oil spills in the Barents Sea and their consequences
- 11th IEEE International Conference on Application of Information and Communication Technologies (AICT2017) (Москва). Presentation: Example of Rational Solution in the Barents Sea
- 4-th International Conference on "Energy, Sustainability and Climate Change" (Санторини). Presentation: Potential conflict zones in Barents Sea
- XVIII Апрельская Международная конференция по проблемам развития экономики и общества (Москва). Presentation: Constructing an Efficient Model for Tornado Prediction
- 3-rd International Conference on Dynamics of Disasters (Каламата). Presentation: Modelling possible oil spills in the Barents Sea and their consequences
- UTFORSK Norwegian-Russian Workshop on Arctic Logistics (Молде). Presentation: Oil spills in the Barents Sea
- 20163-rd International Conference on "Energy, Sustainability and Climate Change" (Марафон). Presentation: Constructing an Efficient Model for Tornado Prediction
- 2015The 2-nd International Conference on Dynamics of Disasters (Каламата). Presentation: A vulnerability of regions to technological disasters
Publications14
- Chapter Demin S. COVID-19 Quarantine Measures Efficiency Evaluation by Best Tube Interval Data Envelopment Analysis, in: Operations Research Forum. Springer, 2023. Ch. 4 (21). doi
- 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 Aleskerov F. T., Demin S. DEA for the Assessment of Regions' Ability to Cope with Disasters, in: Dynamics of Disasters. Impact, Risk, Resilience, and Solutions / Сост.: P. M. Pardalos, A. Nagurney, I. S. Kotsireas, A. Tsokas. Issue 1. Springer, 2021. doi Ch. 2. P. 31-37. doi
- 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
- 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
- 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
- Chapter Демин С. С. Проект системы раннего реагирования для устранения последствий разливов нефти в Северном Ледовитом океане // В кн.: УПРАВЛЕНИЕ РАЗВИТИЕМ КРУПНОМАСШТАБНЫХ СИСТЕМ MLSD'2019 / Под общ. ред.: С. Н. Васильев, А. Цвиркун. ИПУ РАН, 2019. С. 977-979.
- Chapter Демин С. С. Сетевой анализ международной морской торговли в Арктическом регионе // В кн.: XIII Всероссийское совещание по проблемам управления ВСПУ-2019: труды. М. : ИПУ РАН, 2019. С. 1705-1709.
- Chapter Demin S., Aleskerov F. T. Modelling Possible Oil Spills in the Barents Sea and their Consequences, in: Dynamics of Disasters / Ed. by P. M. Pardalos, I. S. Kotsireas, A. Nagurney. Springer International Publishing, 2018. doi Ch. 2. P. 47-56. 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
- 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., Demin S. Possible Oil Spills in the Barents Sea and their Consequences, 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. 308-309.
- Chapter Fuad Aleskerov, Sergey Demin. An Assessment of the Impact of Natural and Technological Disasters Using a DEA Approach, in: Dynamics of Disasters—Key Concepts, Models, Algorithms, and Insights. Switzerland : Springer, 2016. doi P. 1-14. doi
- 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.
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.
Lecture by S. Demin on "Data Envelopment Analysis (DEA): classic and modified models for evaluating the effectiveness of universities, emergency safety systems, etc."
On Wednesday, January 15 the all-Russian seminar "Mathematical methods of decision analysis in economics, finance and politics" was held. S. Demin gave a lecture on "Data Envelopment Analysis (DEA): classic and modified models for evaluating the effectiveness of universities, emergency safety systems, etc.".
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).
Sergey Demin on his visit to Svalbard
October 13-19, 2019 in Longyearbyen, Spitsbergen, the SVF-8063 School of Society and Advanced Technology in the Arctic, organized by the Arctic University of Norway (UiT), was held. Senior colleagues and research assistants of the DeCAn lab participated in it. Sergey Demin shared his impressions on his visit to Svalbard.
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.
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)"
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".