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Vasilii Gromov

  • Vasilii Gromov has been at HSE University since 2018.

Education, Degrees and Academic Titles

  • 2018
  • 2017

    Doctor of Sciences*
    Oles Honchar Dnipro National University

  • 2000

    Master's in Applied Mathematics
    Dnepropetrovsk State University

* Doctor of Sciences
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

for a degree of Candidate of Science

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 (2019/2020)

Courses (2018/2019)



  • 2020
    Modeling 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. 

Timetable for today

Full timetable

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.