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Regular version of the site
Contacts

109028, Moscow,
11, Pokrovsky boulevard

Phone: +7 (495) 531-00-00 *27254

Email: computerscience@hse.ru

 

Administrations
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
Infinite transitivity, finite generation, and Demazure roots

Arzhantsev I., Kuyumzhiyan K., Zaidenberg M.

Advances in Mathematics. 2019. Vol. 351. P. 1-32.

Article
Bias in False Discovery Rate Estimation in Mass-Spectrometry-Based Peptide Identification

Sulimov P., Voronkova A., Danilova Y. et al.

Journal of Proteome Research. 2019. Vol. 18. No. 5. P. 2354-2358.

Article
Compression of recurrent neural networks for efficient language modeling

Grachev A., Ignatov D. I., Savchenko A.

Applied Soft Computing Journal. 2019. Vol. 79. P. 354-362.

Book chapter
Numerical Pattern Mining Through Compression

Makhalova T., Kuznetsov S., Napoli A.

In bk.: 2019 Data Compression Conference Proceedings. IEEE, 2019.

News

Effective Development Strategy Helps HSE Climb in THE World University Ranking

Effective Development Strategy Helps HSE Climb in THE World University Ranking
HSE has once again climbed the THE World University Ranking and entered the 301 – 350 range, taking 3rd place in Russia after MSU (199) and MIPT (251-300). HSE first appeared in this ranking two years ago and every subsequent year the university has consistently improved its standing.

Computer Science Freshmen Take Home Medals at International Olympiads

Computer Science Freshmen Take Home Medals at International Olympiads
On September 2-7, one of the world’s most prestigious programming competitions – the International Olympiad in Informatics (IOI) – took place in the Japanese city of Tsukuba. Three students from the HSE Faculty of Computer Science took home medals.

DeepBayes 2018: More Bayesian Methods in Deep Learning

DeepBayes 2018: More Bayesian Methods in Deep Learning
The second Summer School on Deep Learning and Bayesian Methods was held in Moscow from August 27 to September 1, this year in English. During 6 days participants were studying and implementing Bayesian methods in neural networks, exchanging their experience and discussing research ideas.

Bachelor's Programme in Software Engineering Receives Prestigious International Accreditation

Bachelor's Programme in Software Engineering Receives Prestigious International Accreditation
The high quality of HSE’s Bachelor programme has been recognised by experts on the Accreditation Board for Engineering and Technology (ABET), the headquarters of which are located in the U.S. For more than 85 years, ABET has been accrediting college and university programmes in the applied and natural sciences, computing, engineering and engineering technology. HSE’s Software Engineering programme is the only one in Russia to have received this accreditation.

Application Deadline Extended for Tenure-track Positions of Assistant Professor at the Faculty of Computer Science

The Faculty of Computer Science of the Higher School of Economics in Moscow, Russia invites applications for full-time, tenure-track positions of Assistant Professor in all areas of computer science including but not limited to programming language theory, software engineering, system programming, algorithms, distributed and parallel computation, bioinformatics, artificial intelligence, and machine learning. Knowledge of Russian is not required, as teaching and research are both conducted in English.

HSE Enters ARWU Ranking for the First Time

HSE Enters ARWU Ranking for the First Time
The Higher School of Economics has entered the Shanghai Academic Ranking of World Universities (ARWU) for the first time. The ranking is known for its strict selection criteria. This year, 12 Russian universities, including 10 participants of Project 5-100, entered the ranking. Until 2016, only 2 representatives of Russia were included- MSU and St. Petersburg State University.

The Unconventional Developer: How to Travel the World Coding Mobile Apps

Vadim Drobinin, a graduate of the Bachelor's programme 'Software Engineering'
Last year, Vadim Drobinin graduated from the bachelor programme ‘Software Engineering’. Now, he works in London for an ambitious startup which promises to revolutionise the common internet search. Not the stereotype of the introverted programmer who writes code all night long, Vadim travels frequently, writes a recipe blog, teaches, and gives presentations at conferences all around the world.

‘Graduates of the DSBA Programme Among the World's First in the Field’

‘Graduates of the DSBA Programme Among the World's First in the Field’
Interest in HSE's new bachelor’s programme with the University of London – a double degree programme in Data Science and Business Analytics – has been extremely high. James Abdey, programme convenor, spoke to HSE News Service about how the programme is unique, demand on the job market and the advantages that the double degree gives its graduates.

From Peru to Moscow: Joint HSE-Skoltech Programme Attracts Students from Afar

Attracted by the famous mathematical education in Russia, Alfredo Alejandro De la Fuente Briceño decided to travel halfway around the world to enrol in HSE’s Master’s Programme in Statistical Learning Theory, a new joint programme between HSE and Skoltech aimed at training the next generation of scientists to carry out fundamental research and work on challenging new problems in statistical learning theory. After completing his Bachelor’s degree in Petroleum and Natural Gas Engineering at the National University of Engineering in Lima, Peru, the 25-year-old was encouraged by several professors and friends to try a programme in a different language and tradition and step outside his comfort zone.

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

Fedor Ratnikov, Leading Researcher at the Laboratory of Methods for Big Data Analysis
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.