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Regular version of the site
Contacts

Dean — Ivan Arzhantsev

 

First Deputy Dean — Tamara Voznesenskaya

 

Deputy Dean for Research and International Relations — Sergei Obiedkov

 

Deputy Dean for Methodical and Educational Work — Ilya Samonenko

 

Deputy Dean for Development, Finance and Administration — Irina Plisetskaya

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

computerscience@hse.ru

125319, Moscow, 3 Kochnovsky Proezd (near metro station 'Aeroport'). 

Article
Linear switched dynamical systems on graphs
In press

Protasov V. Y., Cicone A., Guglielmi N.

Nonlinear Analysis: Hybrid Systems. 2018. Vol. 29. P. 165-186.

Article
Final Results of the OPERA Experiment on ντ Appearance in the CNGS Neutrino Beam

Ustyuzhanin A.

Physical Review Letters. 2018. Vol. 120. No. 21. P. 211801-1-211801-7.

Article
Qualitative Judgement of Research Impact: Domain Taxonomy as a Fundamental Framework for Judgement of the Quality of Research

Murtagh F., Orlov M. A., Mirkin B.

Journal of Classification. 2018. Vol. 35. No. 1. P. 5-28.

Article
Predictive Model for the Bottomhole Pressure based on Machine Learning

Spesivtsev P., Sinkov K., Sofronov I. et al.

Journal of Petroleum Science and Engineering. 2018. No. 166. P. 825-841.

Article
New and old results on spherical varieties via moduli theory

Roman Avdeev, Cupit-Foutou S.

Advances in Mathematics. 2018. Vol. 328. P. 1299-1352.

News

Leading Researcher at the HSE Faculty of Computer Science Coordinates New Experiment at CERN

Fedor Ratnikov, a leading researcher at the Laboratory of Methods for Big Data Analysis (LAMBDA), has been appointed project coordinator in the SHiP collaboration. He will be responsible for developing and designing the detector’s active magnetic radiation shielding.

'Big Data' Help Doctors Choose a Treatment Method

Over the course of 20 years, since the beginning of contemporary medicine’s transition into a digital format, a vast amount of largely unused data has amassed. The analysis of these data and the extraction of a new logic of control from them is one of the most popular areas of focus in applied mathematics, Oleg Pianykh, a Professor in HSE’s Department of Data Analysis and Artificial Intelligence and an Associate Professor at Harvard Medical School, said in a report. His report, 'Big Data in Medicine: How to Make them Work,' was presented at HSE’s academic seminar 'Mathematical Models of Information Technologies.'