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Regular version of the site
ФКН
Contacts

109028, Moscow,
11, Pokrovsky boulevard

Phone: +7 (495) 531-00-00 *27254

Email: computerscience@hse.ru

 

Administration
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
Article
A randomized coordinate descent method with volume sampling

Rodomanov A., Kropotov D.

SIAM Journal on Optimization. 2020. Vol. 30. No. 3. P. 1878-1904.

Article
ML-assisted versatile approach to Calorimeter R&D

A. Boldyrev, D. Derkach, F. Ratnikov et al.

Journal of Instrumentation. 2020. Vol. 15. P. 1-7.

Article
An accelerated directional derivative method for smooth stochastic convex optimization

Dvurechensky P., Eduard Gorbunov, Gasnikov A.

European Journal of Operational Research. 2021. Vol. 290. No. 2. P. 601-621.

Book chapter
On pattern setups and pattern multistructures

Kuznetsov S., Kaytoue M., Belfodil A.

In bk.: International Journal of General Systems. Iss. 49. 2020. P. 271-285.

Book chapter
Finite Time Analysis of Linear Two-timescale Stochastic Approximation with Markovian Noise

Kaledin M., Moulines E., Naumov A. et al.

In bk.: Proceedings of Machine Learning Research. Vol. 125: Proceedings of Thirty Third Conference on Learning Theory. 2020. P. 2144-2203.

HSE is Broadening its Range of Skills in Big Data Analysis

HSE and Yandex have opened a Laboratory for Methods of Big Data Analysis at the HSE Computer Science Faculty (LAMBDA). The purpose of the new academic research lab is to create a world-class research centre to solve fundamental problems in computer science and develop methods for processing and analysing Big Data.

HSE is Broadening its Range of Skills in Big Data Analysis

Big Data refers to the huge volumes of structured or unstructured information like social networks, documentary archives and stock market indicators. A specialist in Big Data has to, after processing vast amounts of data, produce results that a human can understand. The term Big Data came into use relatively recently, in 2008, and it’s only two years since it became a subject for academics to analyse which means the potential for study in this area is enormous.

Today, working with Big Data helps businesses to predict the probability of credits being returned or of a client leaving a certain company, but the use of Big Data is not limited to commercial interests. Physicists in CERN are using it in the search for new particles, for testing and refuting hypotheses about the structure of the Universe.

There will be several groups of researchers in the laboratory. The first group is working on Physics. Together with the Yandex School of Data Analysis which is part of the LHCb experiment, they will work on algorithms to analyse the vast mass of data accumulated at CERN while scientists observe how particles fall apart.

The head of the laboratory is Andrei Ustyuzhanin, Director of Joint Projects at the Yandex School of Data Analysis and the European Organisation for Nuclear Research (CERN). He says, ‘This laboratory will make it possible for us to broaden the skills at HSE in analysing different kinds of large amounts of data. We plan to cover issues in science and in business. We want to extract practical use from the data we have access to and enrich the search methods in this new area. Our plans for the immediate future are to build a team and look for new research applications.’

At the moment there are just four research fellows starting work in the laboratory but there will also be places for research assitants. Anyone who wants to take part can find out about requirements from the Computer Science Faculty Manager, Margarita Vlasenko.

There are five openings altogether, the deadline for applications is February 25th.