- Leading Research Fellow:Faculty of Computer Science / Big Data and Information Retrieval School / Laboratory of Theoretical Computer Science
- Vladimir Gurvich has been at HSE University since 2016.
Education and Degrees
Candidate of Sciences* (PhD)
Moscow Institute of Physics and Technology
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.
- Chapter Gurvich V., Boros E., Elbassioni K. M., Makino K. A Potential Reduction Algorithm for Ergodic Two-Person Zero-Sum Limiting Average Payoff Stochastic Games, in: Combinatorial Optimization and Applications - 8th International Conference, COCOA 2014, Wailea, Maui, HI, USA, December 19-21, 2014, Proceedings. Springer, 2014. doi P. 694-709. doi
- Article Gurvich V., Oudalov V. On Nash-solvability in pure stationary strategies of the deterministic n-person games with perfect information and mean or total effective cost // Discrete Applied Mathematics. 2014. Vol. 167. P. 131-143. doi
- Chapter Gurvich V., Boros E., Elbassioni K. M., Makino K. Markov Decision Processes and Stochastic Games with Total Effective Payoff, in: 32nd International Symposium on Theoretical Aspects of Computer Science (STACS 2015), Leibniz International Proceedings in Informatics (LIPIcs) Vol. 30. Dagstuhl : Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, 2015. P. 103-115. doi
- Article Gurvich V., Boros E., Milanic M. On equistable, split, CIS, and related classes of graphs // Discrete Applied Mathematics. 2015 doi
- Article Gurvich V., Boros E. Sandwich problem for Π- and Δ-free multigraphs and its applications to positional games // Discrete Mathematics. 2015. Vol. 338. No. 12. P. 2421-2436. doi
- Article Gurvich V., Endre B., Khaled E., Kazuhisa M., Vladimir O. Sufficient conditions for the existence of Nash equilibria in bimatrix games in terms of forbidden $2 \times 2$ subgames // International Journal of Game Theory. 2016. Vol. 45. No. 4. P. 1111-1131. doi
- Article Boros E., Elbassioni K., Gurvich V., Makino K. A convex programming-based algorithm for mean payoff stochastic games with perfect information // Optimization Letters. 2017. Vol. 11. No. 8. P. 1499-1512. doi
- Article Boros E., Elbassioni K., Gurvich V., Makino K. A nested family of k-total effective rewards for positional games // International Journal of Game Theory. 2017. Vol. 46. No. 1. P. 263-293. doi
- Article Gurvich V., Boros E., Elbassioni K., Makino K. A Potential Reduction Algorithm for Two-Person Zero-Sum Mean Payoff Stochastic Games // Dynamic Games and Applications. 2018. Vol. 8. No. 1. P. 22-41. doi
- Article Gurvich V., Boros E., Milanič M., Oudalov V., Vičič J. A three-person deterministic graphical game without Nash equilibria // Discrete Applied Mathematics. 2018. Vol. 243. P. 21-38. doi
- Article Gurvich V., Boros E., Manthey B., Elbassioni K., Fouz M., Makino K. Approximation Schemes for Stochastic Mean Payoff Games with Perfect Information and Few Random Positions // Algorithmica. 2018. Vol. 80. No. 11. P. 3132-3157. doi
- Chapter Gurvich V., Andrade D. V., Boros E. On graphs whose maximal cliques and stable sets intersect, in: Optimization Problems in Graph Theory Book 139. Springer, 2018. doi P. 3-63. doi
- Article Gurvich V., Nhan Bao H. On tame, pet, domestic, and miserable impartial games // Discrete Applied Mathematics. 2018. Vol. 243. P. 54-72. doi
- Article Boros E., Elbassioni K. M., Gurvich V., Makino K. A pseudo-polynomial algorithm for mean payoff stochastic games with perfect information and few random positions // Information and Computation. 2019. Vol. 267. P. 74-95. doi
- Article Boros E., Cepek O., Gurvich V. Separable discrete functions: Recognition and sufficient conditions // Discrete Mathematics. 2019. Vol. 342. No. 5. P. 1275-1292. doi
- Article Boros E., Gurvich V., Bao Ho N., Makino K., Mursic P. Sprague-Grundy function of matroids and related hypergraphs // Theoretical Computer Science. 2019. Vol. 799. P. 40-58. doi
- Article Boros E., Gurvich V., Milanic M. Characterizing and decomposing classes of threshold, split, and bipartite graphs via 1‐Sperner hypergraphs // Journal of Graph Theory. 2020. Vol. 94. No. 3. P. 364-397. doi
- Chapter Gurvich V., Vyalyi M. Computational hardness of multidimensional subtraction games, in: Computer Science – Theory and Applications 15th International Computer Science Symposium in Russia, CSR 2020, Yekaterinburg, Russia, June 29 – July 3, 2020, Proceedings Vol. 12159. Springer, 2020. doi P. 237-249. doi
- Article Boros E., Gurvich V., Bao Ho N., Makino K. On the Sprague–Grundy function of extensions of proper NIM // International Journal of Game Theory. 2020 doi
- Article Gurvich Vladimir, Naumova M. Logical Contradictions in the One-Way ANOVA and Tukey–Kramer Multiple Comparisons Tests with More Than Two Groups of Observations // Symmetry. 2021. Vol. 13. No. 8. Article 1387. doi
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).
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.
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.