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
Phone: +7 (495) 772-95-90 * 12332
Moscow, 3 Kochnovsky Proezd (near metro station 'Aeroport').
The faculty trains developers and researchers. The programme has been created based on the experience of leading American and European universities, such as Stanford University (U.S.) and EPFL (Switzerland). Also taken into consideration when creating the faculty was the School of Data Analysis, which is one of the strongest postgraduate schools in the field of computer science in Russia. The wide range of elective courses will allow each student to create his or her own educational path. In the faculty, learning is based on practice and projects.
Mikhail N. Vyalyi, Voronenko A. A.
Discrete Mathematics and Applications. 2017.
Roman Avdeev, Cupit-Foutou S.
Transformation Groups. 2017.
Kuznetsov S., Belfodil A., Robardet C. et al.
In bk.: Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017,Melbourne, Australia, 19-25 August 2017. The International Joint Conference on Artificial Intelligence (IJCAI), 2017. P. 1425-1432.
Belomestny D., Mai H., Schoenmakers J.
Journal of Mathematical Analysis and Applications. 2017. No. 455. P. 89-104.
Theory of Computing Systems. 2017. Vol. 61. No. 4. P. 1440-1450.
The Faculty is active in many research areas: theoretical computer science, algorithms for big data, optimisation, machine learning, computer vision, software engineering, and bioinformatics. We publish in leading computer science journals, such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Software and Systems Modelling, ACM Transactions on Algorithms, Machine Learning, Theory of Computing Systems, etc.
Some well-known researchers from foreign institutions are our staff members: Vladimir Gurvich (Rutgers, The State University of New Jersey), Mikhail Zakharyaschev (University of London), Yurii Nesterov ( Catholic University of Leuven), Vladimir Spokoiny (Humboldt University of Berlin), Andre Scedrov (University of Pennsylvania), etc.
Head: Professor Nikolay Vereshchagin, Member of the Academy of Europe
Established in late 2015, the Laboratory conducts research in computational complexity, information theory, algorithmic statistics, combinatorial optimization, and algorithmic game theory. Dr. Vladimir Gurvich, an internationally renowned scientist in the field of theoretical computer science, works here as a leading international researcher.
Head: Professor Sergei O. Kuznetsov, Member of the HSE Academic Council
The Laboratory is a center for researching and integrating the latest methods of artificial intelligence (with a focus on data mining and structural analysis) in order to improve software “intelligence” and adaptability. Dr. Andre Scedrov, a widely respected scientist in the field of logic and formal methods in computer science, is one of the Laboratory’s leading researchers.
Head: Andrey Ustyuzhanin, Head of joint CERN-Yandex Research & Education programs at Yandex Data Factory
Established in February 2015, LAMBDA currently focuses on using machine learning and data analysis methods to solve problems of fundamental science such as particle physics and astrophysics. The Laboratory cooperates with the European Organisation for Nuclear Research (CERN) and the Large Hadron Collider.
Head: Professor Irina A. Lomazova, member of IEEE Task Force on Process Mining
The Laboratory was established in January 2013 under the scientific leadership of world-renowned Dutch scientist Dr. Wil van der Aalst. The Laboratory conducts research in the field of process mining and process-aware information systems such as BPM systems, workflow management systems, ERP systems, and case handling systems. The main goal is to develop new methods and approaches in PAIS modelling, analysis, and design.
This platform for scientific discussions is meant to foster connections among researchers in different fields of computer science. The field of computer science is constantly developing and it is crucial to be aware of the latest developments. The Faculty Colloquium is a research seminar for the Faculty’s teachers, scholars, and doctoral, graduate and undergraduate students, as well as for anyone else who interested in computer science.