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+7 (495) 531-00-00
Address: 11 Pokrovsky Bulvar, Pokrovka Complex, room S832
ORCID: 0000-0003-0304-8686
ResearcherID: J-5763-2017
Scopus AuthorID: 7006377323
Google Scholar
N. Vereshchagin
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Vladimir Gurvich

  • Vladimir Gurvich has been at HSE University since 2016.

Education and Degrees

  • 1978

    Candidate of Sciences* (PhD)

  • 1975

    Moscow Institute of Physics and Technology

* 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.


Editorial board membership

  • 2013: Member of the Editorial Board, Бизнес-информатика (Business Informatics).

  • 2009: Member of the Editorial Board, Прикладная дискретная математика (Prikladnaya Diskretnaya Matematika).

Employment history

Positions in the USSR and Russia:

Leading Researcher; February 2016 - Present. National Research University Higher School of Economics (HSE), Moscow; Division of Computer Sciences, Dep. of Large Data Sets and Data Mining, International Laboratory of Theoretical Informatics.

Leading researcher, 1990-2012; International Inst. of Earthquake Prediction Theory and Math. Geophysics, Russian Academy of Sciences, Moscow,

Senior researcher, 1982-1989; Institute of Earth Physics, USSR Academy of Sciences, Moscow.

Researcher, 1978-1982. Institute of Earth Physics, USSR Academy of Sciences, Moscow.

Positions at Rutgers, the State University of New Jersey, USA:

Professor of Applied Mathematics; January 1993 - 1995 and 1999 - present;

Rutgers Center for Operations Research (RUTCOR); Instructor; September 2014 - present; Rutgers Business School (RBS); Dep. of Management Science & Information Systems (MSIS).

Center for Discrete Math. and Theoretical Computer Science (DIMACS), Permanent Member 2004 - present.

HSE and University of London: Joint BA Programme in Applied Data Analysis

In 2018, the Higher School of Economics will launch an English-taught double degree programme in partnership with the University of London in Applied Data Analysis. Graduates will be awarded an undergraduate degree from HSE in Applied Mathematics and Information Science and a Bachelor of Science in Data Science and Business Analytics from the University of London. International applicants are invited to apply online starting November 15, 2017.