Yuri Zelenkov
- Professor:Graduate School of Business / Department of Business Informatics
- Programme Scientific Supervisor:Business Analytics and Big Data Systems, Business Informatics: Digital Enterprise and Information Systems Management, Electronic Business and Digital Innovations
- Yuri Zelenkov has been at HSE University since 2017.
Education and Degrees
- 2014
Doctor of Sciences*
- 1998
Candidate of Sciences* (PhD)
- 1986
Degree in Aircraft Engines
Ordzhonikidze Rybinsk Aviation Institute
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.
A post-doctoral degree called Doctor of Sciences is given to reflect second advanced research qualifications or higher doctorates in ISCED 2011.
Continuing education / Professional retraining / Internships / Study abroad experience
- Writing Cases Workshop. The Case Centre. 17 June - 30 July 2020.
- Digital Transformation. University of Virginia & Boston Consulting Group. August 2020.
- Essential Causal Inference Techniques for Data Science. Coursera. February 2021.
Courses (2023/2024)
- Analysis and Problem Statement for the Creation of Information Systems (Minor; 3, 4 module)Rus
Enterprise Architecture Perfecting (Master’s programme; Graduate School of Business; field of study "38.04.05. Бизнес-информатика", field of study "38.04.05. Бизнес-информатика", field of study "38.04.05. Бизнес-информатика"; 1 year, 1 module)Eng
- Enterprise Architecture Perfecting (Master’s programme; Faculty of Economics; 1 year, 1 module)Eng
- Research Seminar "Management Information Systems" (4th Year) (Bachelor’s programme; Graduate School of Business; 4 year, 1, 2 module)Rus
- Past Courses
Courses (2022/2023)
Enterprise Architecture Perfecting (Master’s programme; Graduate School of Business; field of study "38.04.05. Бизнес-информатика", field of study "38.04.05. Бизнес-информатика", field of study "38.04.05. Бизнес-информатика"; 1 year, 1 module)Eng
- Enterprise Architecture Perfecting (Master’s programme; Faculty of Economics; 1 year, 1 module)Eng
- Research Seminar "Management of Information Systems" (Bachelor’s programme; Graduate School of Business; 4 year, 1, 2 module)Rus
Courses (2021/2022)
Enterprise Architecture Perfecting (Master’s programme; Graduate School of Business; field of study "38.04.05. Бизнес-информатика", field of study "38.04.05. Бизнес-информатика", field of study "38.04.05. Бизнес-информатика"; 1 year, 1, 2 module)Eng
- Information Systems Management (Bachelor’s programme; Graduate School of Business; 4 year, 1 module)Rus
Courses (2020/2021)
Enterprise Architecture Perfecting (Master’s programme; Graduate School of Business; field of study "38.04.05. Бизнес-информатика", field of study "38.04.05. Бизнес-информатика", field of study "38.04.05. Бизнес-информатика"; 1 year, 1, 2 module)Eng
- Research Seminar "Information Systems Life Cycle Management" (Master’s programme; Graduate School of Business; 2 year, 1-3 module)Rus
20241
20236
- Article Zelenkov Y., Solntsev I. Analysis of research dynamics in sport management using topic modelling // Managing Sport and Leisure. 2023 doi (in press)
- Article Yuri Zelenkov, Ivan Reshettsov. Analysis of the COVID-19 pandemic using a compartmental model with time-varying parameters fitted by a genetic algorithm // Expert Systems with Applications. 2023. Vol. 224. Article 120034. doi
- Article Zelenkov Y., Elizaveta Lashkevich. Does information and communication technology really affect human development? An empirical analysis // Information Technology for Development. 2023. Vol. 29. No. 2-3. P. 329-347. doi
- Chapter Zelenkov Y. Managing Ambiguity in Regression Ensembles, in: 2023 Ivannikov ISPRAS Open Conference (ISPRAS). IEEE, 2023. P. 176-182. doi
- Article Yu. Zelenkov. Optimization of the regression ensemble size // Informatics and Automation (SPIIRAS Proceedings). 2023. Vol. 22. No. 2. P. 393-415. doi
- Article Yury A. Zelenkov, Angelina S. Suchkova. Predicting customer churn based on changes in their behavior patterns // Business Informatics. 2023. Vol. 17. No. 1. P. 7-17. doi
20228
- Article Zelenkov Y. Analysing the firm failure process using Bayesian networks // Business Informatics. 2022. Vol. 16. No. 1. P. 22-41. doi
- Article Zelenkov Y., Fedorova E. Bankruptcy factors at different stages of the lifecycle for Russian companies // Electronic Journal of Applied Statistical Analysis. 2022. Vol. 15. No. 1. P. 187-210. doi
- Chapter Zelenkov Y., Silchev V. Case study "Deliver2.Me: exploring the potential of data science to improve reliability of supplier deliveries", in: Management practices of Russian companies. Vol. 1. Cases from the HSE Graduate School of Business Collection / Ed. by S. Kushch. M. : HSE, 2022.
- Chapter Zelenkov Y. Explaining the IT Value Through the Information Support of Decision-Making, in: Digitalization of Society, Economics and Management: A Digital Strategy Based on Post-pandemic Developments / Ed. by E. Zaramenskikh, A. Fedorova. Issue 53. Springer, 2022. P. 29-48. doi
- Book Stepanov A. K., Лихачев А. А., Silchev V., Zelenkov Y., Ivanova A., Vinogradov A., Osipova O., Isaeva O., Artamoshina P. S., Grishchenko T., Gorgisheli M., Sterligova A., Lebedev A. V., Panteleeva E., Osipova A., Mondrus O., Rozhkov A., Rebiazina V. A., Milovantseva N., Ivanova E., Kushch S. Management practices of Russian companies. Vol. 1 / Ed. by S. Kushch. M. : Higher School of Economics Publishing House, 2022. doi
- Article Yu. A. Zelenkov, Solntsev I. Predicting the value of professional sport clubs. A study of European soccer, 2005–2018 // The Journal of the New Economic Association. 2022. No. 4(56). P. 28-46. doi
- Book Артамошина П. С., Виноградов А. Б., Грищенко Т. Ю., Горгишели М. В., Зеленков Ю. А., Иванова А. В., Иванова Е. А., Исаева О. М., Лебедев А. В., Лихачев А. А., Милованцева Н. М., Мондрус О. В., Осипова А. С., Осипова О. С., Пантелеева Е. К., Ребязина В. А., Рожков А. Г., Сильчев В. А., Степанов А. К., Стерлигова А. Н. Практики менеджмента в российских компаниях. Т. 1 / Пер. с англ.: М. В. Никольская, Е. А. Доброва, Н. А. Воронина; сост.: С. П. Кущ; отв. ред.: С. П. Кущ. М. : Издательский дом НИУ ВШЭ, 2022.
- Chapter Зеленков Ю. А., Сильчев В. А. Учебный кейс: "Deliver2Me: наука о данных повышает надежность поставщиков" // В кн.: Практики менеджмента в российских компаниях. Т. 1 / Пер. с англ.: М. В. Никольская, Е. А. Доброва, Н. А. Воронина; сост.: С. П. Кущ; отв. ред.: С. П. Кущ. М. : Издательский дом НИУ ВШЭ, 2022. С. 101-108.
20213
- Article Zelenkov Y., Volodarskiy N. Bankruptcy prediction on the base of the unbalanced data using multi-objective selection of classifiers // Expert Systems with Applications. 2021. Vol. 185. Article 115559. doi
- Article Zelenkov Y., Anisichkina E. A. Trends in data mining research: A two-decade review using topic analysis // Business Informatics. 2021. Vol. 15. No. 1. P. 30-46. doi
- Book Брускин С. Н., Зараменских Е. П., Зеленков Ю. А., Исаев Д. В., Кузнецова Е. В. МЕТОДИЧЕСКИЕ УКАЗАНИЯ ДЛЯ ПОДГОТОВКИ КУРСОВОГО ПРОЕКТА «ИТ-КОНСАЛТИНГ» / Под общ. ред.: Е. П. Зараменских. М. : Высшая школа бизнеса НИУ ВШЭ, 2021.
20203
- Chapter Zelenkov Y. Analysis of Key Research Trends in High-Performance Computing Using Topic Modeling Technique, in: Supercomputing. RuSCDays 2020. Communications in Computer and Information Science Vol. 1331: 6th Russian Supercomputing Days, RuSCDays 2020, Moscow, Russia, September 21–22, 2020, Revised Selected Papers. Switzerland : Springer, 2020. doi P. 401-412. doi
- Chapter Zelenkov Y. Bankruptcy Prediction Using Survival Analysis Technique, in: Proceedings of 2020 IEEE 22nd Conference on Business Informatics. IEEE Computer Society, 2020. P. 141-149. doi
- Article Zelenkov Y., Lashkevich E. Fuzzy regression model of the impact of technology on living standards // Business Informatics. 2020. Vol. 14. No. 3. P. 67-81. doi
20193
- Article Zelenkov Y. A simple decision-making approach for information technology solution selection // International Journal of Web Engineering and Technology. 2019. Vol. 14. No. 1. P. 56-79. doi
- Article Zelenkov Y. Example-dependent cost-sensitive adaptive boosting // Expert Systems with Applications. 2019. Vol. 135. P. 71-82. doi
- Chapter Zelenkov Y. The Topics Dynamics in Knowledge Management Research, in: Knowledge Management in Organizations. 14th International Conference, KMO 2019, Zamora, Spain, July 15–18, 2019, Proceedings Vol. 1027. Switzerland : Springer, 2019. doi P. 324-335. doi
20183
- Article Zelenkov Y. Agility of enterprise information systems: A conceptual model, design principles and quantitative measurement // Business Informatics. 2018. No. 2. P. 30-44. doi
- Article Zelenkov Y. The Effectiveness of Russian Organizations: The Role of Knowledge Management and Change Readiness. // Russian Management Journal. 2018. Vol. 16. No. 4. P. 513-536. doi
- Chapter Zelenkov Y. The Impact of Knowledge Management and Change Readiness on the Effectiveness of Russian Private and State-Owned Organizations., in: Knowledge Management in Organizations 13th International Conference, KMO 2018 Vol. 877. Switzerland : Springer, 2018. doi P. 251-262. doi
20179
- Chapter Zelenkov Y. Decision Making in Cloud Computing: A Method that Combines Costs, Risks and Intangible Benefits, in: Communications in Computer and Information Science Vol. 731: Knowledge Management in Organisations. Switzerland : Springer, 2017. doi P. 273-285. doi
- Chapter Zelenkov Y., Sharsheeva J. Impact of the Investment in Supercomputers on National Innovation System and Country’s Development, in: Communications in Computer and Information Science Vol. 753: Parallel Computational Technologies. Switzerland : Springer, 2017. doi P. 42-57. doi
- Article Zelenkov Y. Information efficiency, information design and information system of an organization // Business Informatics. 2017. No. 2. P. 25-32. doi
- Article Zelenkov Y., Solntsev I. Measuring the efficiency of Russian Football Premier League clubs // Electronic Journal of Applied Statistical Analysis. 2017. Vol. 10. No. 3. P. 773-789. doi
- Chapter Zelenkov Y. Parallel Heterogeneous Multi-classifier System for Decision Making in Algorithmic Trading, in: Communications in Computer and Information Science Book 793: Supercomputing. Switzerland : Springer, 2017. doi P. 251-265. doi
- Article Zelenkov Y., Fedorova E., Chekrizov D. Two-step classification method based on genetic algorithm for bankruptcy forecasting // Expert Systems with Applications. 2017. Vol. 88. P. 393-401. doi
- Article Зеленков Ю. А. Влияние управления знаниями и управления изменениями на эффективность организации // Экономика и управление: проблемы, решения. 2017. Т. 4. № 3. С. 96-100.
- Article Федорова Е. А., Зеленков Ю. А., Ткаченко А. А., Федоров Ф. Ю. Оценка эффективности компаний, управляющих пенсионными накоплениями на основе метода DEA (Data Envelopment Analysis) // Корпоративные финансы. 2017. Т. 11. № 3. С. 34-44.
- Article Зеленков Ю. А., Цветков В. А., Солнцев И. В. Сравнительная оценка эффективности развития спорта на региональном уровне на основе метода DEA // Экономика региона. 2017. Т. 13. № 4. С. 1184-1198. doi
20166
- Chapter Zelenkov Y. Impact of Knowledge Management and Change Management on the Effectiveness of the Firm: Evidence from the Russian Companies, in: Proceedings of the 11th International Knowledge Management in Organizations Conference. NY : Association for Computing Machinery (ACM), 2016. P. 1-7. doi
- Article Zelenkov Y. Towards a Quantitative Model of Cloud Computing Risks and Benefits // Вестник Южно-Уральского государственного университета. Серия: Вычислительная математика и информатика. 2016. Vol. 5. No. 2. P. 68-83. doi
- Article Федорова Е. А., Зеленков Ю. А., Чекризов Д., Добрянская П. Анализ влияния корпоративного управления на банкротство российских компаний на основе метода Partial Least Squares Path Modeling // Корпоративные финансы. 2016. Т. 10. № 2. С. 108-123.
- Article Зеленков Ю. А. Информационные системы через призму научных публикаций // Открытые системы. СУБД. 2016. № 2. С. 44-46.
- Article Зеленков Ю. А. Количественный анализ эффективности и риска внедрения информационных систем // Управление большими системами: сборник трудов. 2016. № 60. С. 63-81.
- Book Зеленков Ю. А., Дадян Э. Г. Методы, модели, средства хранения и обработки данных. М. : Вузовский учебник , 2016.
20152
- Chapter Zelenkov Y. Business and IT Alignment in Turbulent Business Environment, in: Lecture Notes in Business Information Processing: Business Information Systems Workshops Vol. 228: Business Information Systems Workshops. Springer, 2015. P. 101-112. doi
- Article Зеленков Ю. А. На пути к облачному производству // Открытые системы. СУБД. 2015. № 3. С. 42-44.
20143
- Article Zelenkov Y. Components of enterprise IT strategy: decision-making model and efficiency measurement // International Journal of Information Systems and Change Management. 2014. Vol. 7. No. 2. P. 150-166. doi
- Article Зеленков Ю. А. На пути к адаптивным корпоративным системам // Открытые системы. СУБД. 2014. № 3. С. 17-20.
20133
- Article Зеленков Ю. А. Использование модели скользящих слоев для обеспечения адаптивности корпоративной информационной системы // Вестник Южно-Уральского государственного университета. Серия: Компьютерные технологии, управление, радиоэлектроника. 2013. Т. 13. № 3. С. 109-116.
- Article Зеленков Ю. А. Об измерении эффективности бизнес-процессов и поддерживающих их информационных систем // Управление большими системами: сборник трудов. 2013. № 41. С. 146-161.
- Article Зеленков Ю. А. Сервисно-ориентированная модель ИТ-службы крупной организации // Вестник Южно-Уральского государственного университета. Серия: Компьютерные технологии, управление, радиоэлектроника. 2013. Т. 13. № 3. С. 83-91.
20121
Conferences
- 2023Открытая конференция ИСП РАН им. В.П. Иванноикова (Москва). Presentation: Managing ambiguity in regression ensembles
- 2022Инжиниринг предприятий и управление знаниями (ИПУЗ-2022) (Москва). Presentation: Перевернутый класс и проектный подход в преподавании архитектуры предприятия
- 2020
IEEE 22nd Conference on Business Informatics (CBI 2020) (Antwerpen). Presentation: Bankruptcy Prediction Using Survival Analysis Technique
- Russian Supercomputing Days (Moscow). Presentation: Analysis of Key Research Trends in High-Performance Computing using Topic Modeling Technique
- 2019The 14th International Conference on Knowledge Management in Organizations, KMO 2019 (Заморра). Presentation: The topic dynamics in knowledge management research
- Analytics for Management and Economics Conference (Санкт-Петербург). Presentation: Bankruptcy Factors at Different Stages of the Lifecycle for Russian Companies
- 2018The 13th International Conference on Knowledge Management in Organizations, KMO 2018 (Zilina). Presentation: The Impact of Knowledge Management and Change Readiness on the Effectiveness of Russian Private and State-Owned Organizations
- 2017The 12th International Conference on Knowledge Management in Organizations (Beijing). Presentation: Decision Making in Cloud Computing: A Method that Combines Costs, Risks and Intangible Benefits
- 201611th International Conference Knowledge Management in Organizations (Hagen). Presentation: Impact of Knowledge Management and Change Management on the Effectiveness of the Firm
- 201518th International Conference on Business Information Systems (Poznan). Presentation: Business and IT Alignment in Turbulent Business Environment
- 20126th International Conference on Research and Practical Issues of Enterprise Information Systems CONFENIS 2012 (Gent). Presentation: Evolutionary Approach for IS Strategy: Decision Making Framework and Efficiency Measurement
Editorial board membership
2017: Member of the Editorial Council, International Journal of Web Engineering and Technology.
2014: Member of the Editorial Council, Открытые системы. СУБД.
Employment history
- 2001 - 2009. NPO Saturn. Deputy Chief Information Officer.
- 2009 - 2014. NPO Saturn. Chief Information Officer.
- 2014 - 2015. P.G. Demidov Yaroslavel State University. Professor.
- 2015 - 2017. Financial University under the Government of Russian Federation. Head of Applied Informatics Department.
Scientists Teach AI to Predict Bankruptcy
Researchers of the HSE Graduate School of Business have presented a new method of forecasting bankruptcies in businesses using machine learning. The method makes it possible to fully utilize information on a company’s financial state and to make more accurate predictions than traditional statistical approaches. The research has been published in the journal Expert Systems with Applications.
FBM Professors Attend AMEC 2019 International Conference
On September 27-28, 2019, professors of the Faculty of Business & Management's attended the Analytics for Management and Economics Conference (AMEC) in St Petersburg.