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Regular version of the site

Phone: +7 (495) 772-95-90 * 12670

evavilova@hse.ru, mbabenko@hse.ru

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

Room 607



Department Head — Maxim Babenko


Deputy Department Head - Stanislav Fedotov


Manager - Ekaterina Vavilova

Computing minimal and maximal suffixes of a substring

Maxim Babenko, Gawrychowski P., Kociumaka T. et al.

Theoretical Computer Science. 2016. Vol. 638. P. 112-121.

Book chapter
Sample space reducing for statistical decision effectiveness increasing

Tsitovich F. I., Tsitovich I. I.

In bk.: 6th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, ICUMT 2014; St. Petersburg; Russian Federation; 6 October 2014 through 8 October 2014. IEEE, 2015. P. 501-506.

Book chapter
On the Complexity of Hub Labeling (Extended Abstract)
In press

Babenko M. A., Goldberg A., Weller M. et al.

In bk.: Mathematical Foundations of Computer Science 2015. Vol. 9235. Springer, 2015. P. 62-74.

Research&Expertise – News

Building a Simple App for Apple Watch

Gregory Tareyev, a Software Engineering student, a co-founder and iOS developer of Chill shares his experience with the international editorial AppCoda on Apple Watch development and shows how to build a simple weather app.

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.

Teaching assistant of department is starting three-month internship in DeepMind

Teaching assistant of our department (Sergey Bartunov) is starting his three-month internship in DeepMind, a research division of Google. There he will work on developing new methods of deep learning and on new new architectures of neural netowkrs.

Summer school on Machine Learning in High Energy Physics

August 27-30, St.-Petersburg. MLHEP summer school is intended to cover the relatively young area of data analysis and computational research that has started to emerge in High Energy Physics (HEP).

Faculty Student Comes 7th in Higgs Boson Machine Learning Challenge

The Higgs Boson Machine Learning Challenge, the largest international competition in data analysis and machine learning came to a close on 15 September. Second year MA computer science MA student Stanislav Semenov won 7th place in the final count, crowning 4 months of intense work.