Vasilii Gromov
- Deputy Head, Professor:Faculty of Computer Science / School of Data Analysis and Artificial Intelligence
- Senior Research Fellow:Faculty of Computer Science / International Laboratory for Intelligent Systems and Structural Analysis
- Vasilii Gromov has been at HSE University since 2018.
Education, Degrees and Academic Titles
- 2018Professor
- 2017
Doctor of Sciences*
Oles Honchar Dnipro National University - 2000
Master's in Applied Mathematics
Dnepropetrovsk State University
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
The Centre for Modern State Development. Course of futurology seminars Russia and the World under Technological Transformation: Strategic Vision (in the framework of Presidental grant Modern popular pilot futurology course "Trends 2.0"). Graduated with honours. 2019
Stanford-online. Online course Writing in the Science. 2015.
Academic Supervision
Anastasia V. Kabeshova (2015, co-supervision with Prof. Olivier Beauchet, geriatrist), University of Angers (France). Title: Prediction of fallings for aged persons: advantages of nonlinear models (Predire la chute de la personne agee: apports des modeles mathematiques non-lineaires)
Courses (2022/2023)
Complex Systems Theory (Bachelor’s programme; Faculty of Computer Science; field of study "01.03.02. Прикладная математика и информатика", field of study "01.03.02. Прикладная математика и информатика"; 4 year, 1, 2 module)Rus
- How to Examine and Predict Time Series: Methods and Applications (Master’s programme; Faculty of Computer Science; 2 year, 1, 2 module)Rus
- Research Seminar "Data Analysis and Artificial Intelligence 2" (Bachelor’s programme; Faculty of Computer Science; 4 year, 1-3 module)Eng
- Research Seminar "Mathematical and Computational Engineering in Science and Business 1" (Bachelor’s programme; Faculty of Computer Science; 3 year, 1-4 module)Eng
- Research Seminar "Mathematical and Computational Engineering in Science and Business 2" (Bachelor’s programme; Faculty of Computer Science; 4 year, 1-3 module)Eng
- Past Courses
Courses (2021/2022)
Complex Systems Theory (Bachelor’s programme; Faculty of Computer Science; field of study "01.03.02. Прикладная математика и информатика", field of study "01.03.02. Прикладная математика и информатика"; 4 year, 1, 2 module)Rus
- How to Examine and Predict Time Series: Methods and Applications (Master’s programme; Faculty of Computer Science; 2 year, 1, 2 module)Rus
- Research Seminar "Data Analysis and Artificial Intelligence 2" (Bachelor’s programme; Faculty of Computer Science; 4 year, 1-3 module)Eng
- Research Seminar "Mathematical and Computational Engineering in Science and Business" (Bachelor’s programme; Faculty of Computer Science; 3 year, 1-4 module)Eng
- Research Seminar "Mathematical and Computational Engineering in Science and Business 2" (Bachelor’s programme; Faculty of Computer Science; 4 year, 1-3 module)Eng
Courses (2020/2021)
- Evolutionary Algorithms and Real-world Logistics (Bachelor’s programme; Graduate School of Business; 4 year, 1, 2 module)Rus
- How to Examine and Predict Time Series: Methods and Applications (Master’s programme; Faculty of Computer Science; 2 year, 1, 2 module)Rus
- Research Seminar "Data Analysis and Artificial Intelligence 2" (Bachelor’s programme; Faculty of Computer Science; 4 year, 1-3 module)Rus
Courses (2019/2020)
- Introductory Research Seminar (Bachelor’s programme; Faculty of Computer Science; 2 year, 3 module)Rus
- Probability Theory and Mathematical Statistics (Master’s programme; Faculty of Computer Science; 1 year, 1 module)Eng
- Research Seminar "Data Analysis and Artificial Intelligence 2" (Bachelor’s programme; Faculty of Computer Science; 4 year, 1-3 module)Rus
Courses (2018/2019)
- Calculus (Master’s programme; Institute for Cognitive Neuroscience; 1 year, 1, 2 module)Eng
- Combinatorics, Graphs and Computational Logic (Bachelor’s programme; Faculty of Computer Science; 3 year, 3, 4 module)Eng
- Linear Algebra (Master’s programme; Institute for Cognitive Neuroscience; 1 year, 1, 2 module)Eng
- Probability Theory and Mathematical Statistics (Master’s programme; Faculty of Computer Science; 1 year, 1 module)Eng
- Real-world Logistics and Bio-inspired Evolutionary Algorithms (Master’s programme; Faculty of Computer Science; 1 year, 3, 4 module)Eng
Publications21
- Article Vasilii A. Gromov, Yury N. Beschastnov, Korney K. Tomashchuk. Generalized relational tensors for chaotic time series // PeerJ Computer Science. 2023. Vol. 9. No. . Article e1254. doi
- Article Кравцов П. Ф., Николаев Е. Н., Мазайшвили К. В., Громов В. А., Зворыкина Е. И., Бесчастнов Ю. Н. Кластеризация шумов как способ оценки функции постоянного сосудистого доступа у больных на гемодиализе // Вестник СурГУ. Медицина. 2022. Т. 51. № 1. С. 25-30. doi
- Article Громов В. А., Мазайшвили К. В., Заикин П. В., Николаев Е. Н., Бесчастнов Ю. Н., Зворыкина Е. И., Паринов А. А., Незнанов А. А. Различение хаотических и регулярных временных рядов для идентификации состояния артериовенозной фистулы // Вестник кибернетики. 2022. Т. 45. № 1. С. 72-82. doi
- Chapter Gromov V. Chaotic Time Series Prediction: Run for the Horizon, in: Tools and Methods of Program Analysis: 5th International Conference, TMPA 2019, Tbilisi, Georgia, November 7–9, 2019, Revised Selected Papers. Springer, 2021. P. 29-43. doi
- Book Gromov V., Mazaishvili K. International Conference on Software Testing, Machine Learning and Complex Process Analysis. , 2021. doi
- Article Урманцева Н. Р., Громов В. А. Коллаборативная система сбора и обработки флебологических данных PhleboCloud // Вестник кибернетики. 2021. № 4(44). С. 40-47. doi
- Book Громов В. А., Урманцева Н. Р. Применение методов анализа формальных понятий для анализа временных рядов тока крови для гемодиализных больных. [б.и.], 2021.
- Book Громов В. А., Густелёв Ю. А., Мазайшвили К. В., Незнанов А. А., Пендюрин М. С., Юхневич К. С. Проект «зеркальная лаборатория»: успешное сотрудничество флебологов со специалистами по искусственному интеллекту //13-й Санкт-Петербургский Венозный Форум. (Рождественские встречи). [б.и.], 2021.
- Chapter Obodan N. I., Adlucky V. J., Gromov V. Prediction and Control of Buckling: The Inverse Bifurcation Problems for von Karman Equations, in: Applied Mathematical Analysis: Theory, Methods, and Applications. Springer, 2020. doi Ch. 11. P. 353-381. doi
- Article Громов В. А., Баранов Ф. С. Прогнозирование хаотических временных рядов на много шагов вперёд // Вестник современных цифровых технологий. 2020. Т. 4. С. 13-21.
- Article Gromov V., Kuznietsov K. A., Pigden T. Decision support system for light petroleum products supply chain // Operational Research. 2019. Vol. 19. P. 219-236. doi
- Book Громов В. А. Материалы Международной научной конференции «Современные проблемы математики и механики», посвящённой 80-летию академика В. А. Садовничего. М. : МГУ, МАКС Пресс, 2019. doi
- Article Obodan N. I., Gromov V., Adlucky V. J. Rapid identification of pre-buckling states: A case of cylindrical shell // Thin-Walled Structures. 2018. Vol. 124. P. 449-457. doi
- Article Gromov V., Migrina A. M. A Language as a Self-Organized Critical System // Complexity. 2017. Vol. 2017. No. Article ID 9212538. P. 1-7. doi
- Article Gromov V., Konev A. S. Precocious identification of popular topics on Twitter with the employment of predictive clustering // Neural Computing and Applications. 2017. Vol. 28. No. 11. P. 3317-3322. doi
- Article Obodan N. I., Gromov V. Vulnerability Assessment of Loaded Thin-Walled Shells Under an External Pulse Action / Пер. с рус. // Strength of Materials. 2017. Vol. 49. No. 2. P. 335-342. doi
- Article Kuznietsov K. A., Gromov V., Skorohod V. A. Cluster-based supply chain logistics: a case study of a Ukrainian food distributor // IMA Journal Management Mathematics. 2016. Vol. 28. No. 4. P. 553-578. doi
- Article Gromov V., Obodan N. I. The complete bifurcation structure of nonlinear boundary problem for cylindrical panel subjected to uniform external pressure // Thin-Walled Structures. 2016. Vol. 107. P. 612-619. doi
- Article Gromov V., Borisenko E. Predictive clustering on non-successive observations for multi-step ahead chaotic time series prediction // Neural Computing and Applications. 2015. Vol. 26. No. 8. P. 1827-1838. doi
- Book Obodan N. I., Lebedeyev O. G., Gromov V. Nonlinear Behaviour and Stability of Thin-Walled Shells. NY : Springer Publishing Company, 2013. doi
- Article Gromov V., Shulga A. N. Chaotic time series prediction with employment of ant colony optimization // Expert Systems with Applications. 2012. Vol. 39. No. 9. P. 8474-8478. doi
Conferences
- 2020Modeling and Analysis of Complex Systems and Processes MACSPro'2020 (Венеция). Presentation: Prediction after a Horizon of Predictability
- 2019
МЕЖДУНАРОДНАЯ НАУЧНАЯ КОНФЕРЕНЦИЯ «СОВРЕМЕННЫЕ ПРОБЛЕМЫ МАТЕМАТИКИ И МЕХАНИКИ», ПОСВЯЩЕННАЯ 80-ЛЕТИЮ АКАДЕМИКА В.А. САДОВНИЧЕГО 13-15 МАЯ 2019 Г. (Москва). Presentation: Предсказание потери устойчивости цилиндрической оболочки: прямые и обратные задачи теории бифуркаций для уравнений Кармана
4-й Колмогоровский семинар по компьютерной лингвистике и наукам о языке (Москва). Presentation: SEMANTIC AND EMOTIONAL PATHS OF A LITERARY WORK AND ITS TRANSLATIONS
International Conference on Software Testing, Machine Learning and Complex Process Analysis (TMPA-2019) (Тбилиси). Presentation: Chaotic Time Series Prediction: Run for the Horizon
- 2018
14-th International Conference “Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering TCSET” (Славское). Presentation: Inverse Bifurcation Problem for von Karman-type Elliptic Equations
International Conference “Ukrainian Conference on Applied Mathematics” (Львов). Presentation: The extended Kantorovich method for von Karman equations
- 2016
5-th International conference “Nonlinear Dynamics” (Харьков). Presentation: Inverse bifurcation problem as a tool for rapid identification of progressive collapse for thin-walled systems
- 2014
EURO Working Group on Vehicle Routing and Logistics Optimization (VEROLOG-2014) (Осло). Presentation: A Decision Support System for the Management of Petroleum Distribution
- 2012
11-th International Conference “Modern Problems of Radio Engineering, Telecommunications and Computer Science TCSET'2012” (Славское). Presentation: Decision-making support system for light petroleum products traffic and transport management
- 2008
Международный семинар “Актуальные проблемы нелинейной механики оболочек”. Presentation: Численный анализ ветвления нелинейных краевых задач теории тонкостенных систем
Employment history
Associate professor of School of Data Analysis and Artificial Intelligence, National Research University Higher School of Economics (2108-present).
Seniour researcher of Center for Reliability and Sustainability of Structures (Dnepropetrovsk National University, 2007-2018), research officer of the same center (2000-2007).
Associate professor of Computational Mathematics and Mathematical Cybernetics Department (2006-2018); assistant professor (the same department, 2002-2006).
Visiting positions:
Visiting professor of Universite du Maine (Faculty of Science and Technologies, May 2011).
Visiting lecturer of Universite du Maine (Engineering Higher School, November 2011). I deliver lectures on Data Mining.
I deliver (or delivered) lectures on:
For Masters in Data Mining
- Time series forecasting with applications
- Probability and statistics
- Bio-inspired algorithms and real-world logistics
For Masters in AI and System Analysis:
- Non-linear time series forecasting;
- Theory of self-organizing systems;
- Theory of statistical complexity;
- Catastrophe theory;
- Foresighting;
- Complex Networks;
- Deep learning;
For Bachelors in System Analysis:
- Statistical forecasting of economical process;
- Neural networks.
- Data Mining;
- Qualitative theory of ordinary differential equations;
- Theory of complex systems;
- Design patterns;
- Object-oriented programming.
I took part in the development of bachelor’s, master’s, and PhD programmes (both concepts and curricula) in decision-making support systems (artificial intelligence) and system analysis.
‘Working in Academia Is My Lifelong Desire’
Majid Sohrabi is a 28 year-old student from Iran currently enrolled in a doctoral programme at the HSE University Faculty of Computer Science. Before starting his PhD, he graduated with honours from the university’s Master of Data Science programme. In addition to studying, he also works as an assistant at the School of Data Analysis and Artificial Intelligence and a research assistant at the Laboratory for Models and Methods of Computational Pragmatics.
Mathematicians and Practicing Surgeons to Fight Venous Diseases
One million people in Russia suffer from venous diseases. The ‘Intelligent data analysis for healthcare information systems’ Mirror Lab project brings together expertise in mathematics and medicine in order to better diagnose various conditions in phlebology. Project leader Vasilii Gromov talked to The HSE LooK about its achievements and prospects.
Ilya Segalovich Scholarship Winners Interviews. Part 1
The winners of the Ilya Segalovich Scholarship were announced recently. We talked to them about the award, their studies and their projects.