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Regular version of the site

Dean — Ivan Arzhantsev


First Deputy Dean— Tamara Voznesenskaya


Deputy Dean for Research and International Relations - Sergei Obiedkov


Deputy Dean for finance and administration - Irina Plisetskaya


Dean's office

Phone: +7 (495) 772-95-90 * 12332


Moscow, 3 Kochnovsky Proezd (near metro station 'Aeroport'). 

Optimising the Active Muon Shield for the SHiP Experiment at CERN

A. Baranov, Derkach D., Filatov A. et al.

Journal of Physics: Conference Series. 2017. Vol. 934. No. 1. P. 1-5.

Sugar Lego: Gene composition of bacterial carbohydrate metabolism genomic loci

Gelfand M. S., Kaznadzey А., Shelyakin P.

Biology Direct. 2017. Vol. 12. No. 2. P. 28-28.

On tame, pet, domestic, and miserable impartial games
In print

Gurvich V., Nhan Bao H.

Discrete Applied Mathematics. 2018.

Additive actions on toric varieties

Arzhantsev I., Romaskevich E.

Proceedings of the American Mathematical Society. 2017. Vol. 145. No. 5. P. 1865-1879.

Short lists with short programs from programs of functions and strings

Vereshchagin N.

Theory of Computing Systems. 2017. Vol. 61. No. 4. P. 1440-1450.


International Council Recognizes HSE as Leader in Project 5-100

The Higher School of Economics was recognized as a leader among Project 5-100 universities following a recent session held by the Council on Competitiveness Enhancement of Leading Russian Universities among Global Research and Education Centers. The session took place in Yekaterinburg on October 27-28 and was chaired by Olga Golodets, Deputy Prime Minister of Russia.

Mini-workshop Stochastic Processes and Probabilistic Models in Machine Learning

On September 12 and 13, a mini-workshop "Stochastic processes and probabilistic models in machine learning" was held at the faculty. Four invited foreign specialists gave lectures about the application of parametric and nonparametric probabilistic methods in machine learning, and representatives of Russian scientific groups told about particular projects where these approaches are used.

Bayesian Methods in Deep Learning Summer School in Moscow

Bayesian Methods in Deep Learning Summer School was held in Moscow fron 26 to 30 August. During these five days 96 participants from 8 countries listened to lectures about Bayesian methods in deep learning and trained neural networks.

Collaboration with Samsung Opens New Perspectives for the Laboratory and the Faculty

Dmitry Vetrov, head of the laboratory, held a meeting with Mr. Shi-Hwa Lee, a Vice-President of Samsung, a company the laboratory collaborates with. Interim research results, internship possibilities and collaboration perspectives were discussed.

13th International Conference on Concept Lattices and Their Applications

On July 18-22 the 13th International Conference on Concept Lattices and Their Applications was held at HSE. The conference has been organized since 2002. This year it was held in Russia for the first time. The event was organized by the International Laboratory for Intelligent Systems and Structural Analysis and the  School of Data Analysis and Artificial Intelligence of HSE Faculty of Computer Science.

HSE and Yandex Hold Second Summer School in Machine Learning in High Energy Physics

On June 20-27, the HSE Faculty of Computer Science teamed up with the Yandex School of Data Analysis to carry out the Second International Summer School in Machine Learning in High Energy Physics. This year’s Summer School took place in Lund, Sweden, and saw the participation of 60 students and researchers from Austria, Great Britain, Germany, Italy, Russia, the U.S., Sweden, Switzerland, and more. Of these students, five came from the Higher School of Economics.

World Engineering Education Forum

Alexey Neznanov, Associate Professor at the School of Data Analysis and Artificial Intelligence and Olga Maksimenkova, Senior lecturer at the School of Software Engineering, took part in the World Engineering Education Forum that was held on September 20-24 in Florence, Italy. The Forum Programme Committee included the members of IFEES, COPI, EEDS/SEFI, ENAEE, EUCEET, IGIP and other communities engaged in engineering education.

How Programmers Help Unravel the Secrets of Physics

The Summer School on Machine Learning in High Energy Physics, which was co-organised by the HSE Faculty of Computer Science and Russian internet company Yandex, has ended. Below, the Head of HSE's Laboratory of Methods for Big Data Analysis, Andrey Ustyuzhanin, talks about the various ways in which physicists and programmers cooperate. He also discusses how researchers from HSE and Yandex have been participating in CERN experiments and how ordinary smartphone users can help unravel the secrets of the universe.

HSE, Yandex and CERN Researchers Work Together on Machine Learning in High Energy Physics

On August 30, 2015, the Summer School on Machine Learning in High Energy Physics wrapped up this year’s session. The school, which was held at the St. Petersburg Academic University, was organized by HSE in cooperation with the Yandex School of Data Analysis (SDA) and the Yandex Data Factory (YDF). This school is continuing cooperation between Yandex and CERN, which involves YDF and SDA researchers working together with experimental physicists on solving current problems in the field of physics. Many tasks require using machine learning approaches, which allow for greater accuracy and efficiency in these studies.

10th International Computer Science Symposium in Russia

On July 13th-17th 2015, the 10th International Computer Science Symposium in Russia took place. The largest conference on theoretical informatics in Russia was organized by Irkutsk State University, the Higher School of Economics and Yandex. Vladimir Podolskii, Associate Professor at the Big Data and Information Retrieval School took part in the event as guest speaker. Maxim Babenko, Head of the Joint Department with Yandex also delivered a report during the event.
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