• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site
Language Proficiency
+7(495) 772-9590 доб. 22867
Address: Moscow 125319, 3 Kochnovskiy Proezd, 616
Download CV
SPIN-RSCI: 8210-3730
ORCID: 0000-0002-3082-5113
ResearcherID: D-9361-2012
Scopus AuthorID: 7004013625
Google Scholar
Office hours
Monday and Thursday 10am-7pm. Prior appointment by email recommended.
I. Arzhantsev
Printable version


Have you spotted a typo?
Highlight it, click Ctrl+Enter and send us a message. Thank you for your help!

Andrei Sobolevski

  • Andrei Sobolevski has been at HSE since 2011.

Education and Degrees

  • 2014

    Doctor of Sciences* in Mathematical Physics
    Lomonosov Moscow State University
    Thesis Title: Dynamics and singularities in models of inertial mass transfer

  • 2011

    Candidate of Sciences* (PhD) in Theoretical Physics
    Lomonosov Moscow State University
    Thesis Title: Generalized variational principles and method of vanishing viscosity for some quasilinear equations and systems

  • 1996

    Lomonosov Moscow State 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.
* 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.

Awards and Accomplishments

Courses (2016/2017)

Courses (2015/2016)

Courses (2014/2015)

Courses (2013/2014)

Courses (2012/2013)

Probabilistic Methods of Mathematical Modelling (Master’s programme; School of Applied Mathematics and Information Science; programme "Mathematical Modeling"; spec. "Технологии моделирования сложных систем"; 1 year, 3, 4 module)Rus

Courses (2011/2012)



Article Khanin K., Sobolevski A. On Dynamics of Lagrangian Trajectories for Hamilton–Jacobi Equations // Archive for Rational Mechanics and Analysis. 2016. Vol. 219. No. 2. P. 861-885. doi





Chapter Litvinov G., Maslov V., Rodionov A., Sobolevski A. Universal Algorithms, Mathematics of Semirings and Parallel Computations, in: Coping with Complexity: Model Reduction and Data Analysis / Ed. by A. N. Gorban, D. Roose. Issue 75. Berlin, Heidelberg : Springer, 2011. P. 63-89.



Chapter Соболевский А. Н. Выпуклый анализ, тропическая алгебра и обработка астрономических данных // В кн.: Исследования по выпуклому анализу / Отв. ред.: В. М. Тихомиров. Т. 2. Владикавказ : ЮМИ ВНЦ РАН, 2009. С. 230-233.


Article Sobolevski A., Mohayaee R. The Monge-Ampère-Kantorovich approach to reconstruction in cosmology // Physica D: Nonlinear Phenomena. 2008. Vol. 237. No. 14-17. P. 2145-2150.



Article Sobolevski A., Frisch U. Application of optimal transport theory to reconstruction of the early Universe // Journal of Mathematical Sciences. 2006. Vol. 133. P. 1539-1542.


Chapter Sobolevski A., Khanin K., Khmelev D. V. A blow-up phenomenon in the Hamilton-Jacobi equation in an unbounded domain, in: Idempotent mathematics and mathematical physics / Ed. by G. Litvinov, V. P. Maslov. Providence : American Mathematical Society, 2005. P. 161-179.


Article Sobolevski A., Matarrese S., Mohayaee R., Frisch U. Back to the primordial Universe by a Monge-Ampère-Kantorovich optimisation scheme // Astronomy and Astrophysics. 2003. Vol. 406. P. 393-401.


Article Sobolevski A., Matarrese S., Mohayaee R., Frisch U. A reconstruction of the initial conditions of the Universe by optimal mass transportation // Nature. 2002. Vol. 417. P. 260-262.




Article Соболевский А. Н. Периодические решения уравнения Гамильтона-Якоби с периодической силой // Успехи математических наук. 1998. Т. 53. № 6. С. 265-266.

Current principal affiliation

Institute for Information Transmission Problems (Kharkevich Institute), Acting director

Timetable for today

Full timetable

‘Our Programme Aims to Make a Research Breakthrough at the Intersection of Mathematics and Computer Science’

In 2017, the HSE Faculty of Computer Science and Skoltech are opening admissions to the Master’s programme inStatistical Learning Theory, which will become the successor to theMathematical Methods of Optimization and Stochastics programme.Vladimir Spokoiny, the programme’s academic supervisor and professor of mathematics at Humboldt University in Berlin, told us about the research part of the new programme and the opportunities it offers to both Master’s students and undergraduate students alike.