Research & Expertise

HSE University has once again placed in two subject rankings of the Times Higher Education (THE) World University Rankings: Computer Science (in the top 400) and Engineering and Technology (in the 601-800 range).

HSE master’s programme alumni and an HSE doctoral student received an international Catalyst Grant from Digital Science in support of the development of their startup, MLprior, a service for researchers and scientists. HSE News Service spoke with Vladislav Ishimtsev, one of the startup creators, about the biggest ‘thorns’ in researchers’ sides, artificial intelligence, and the possibility of a machine uprising.

HSE University has appeared in 10 subject areas and six subject categories of the Expert Analytical Centre ranking of university research productivity. Moreover, HSE ranked 1st in five areas and two sections.

A new supercomputer, which has been recently set up at MIEM, will allow the university to carry out high quality research in deep learning and mathematical modeling. The computer was ranked sixth in the April Top-50 ranking of supercomputers in Russia.

Part of the Centre of Deep Learning and Bayesian Methods and another partner project between Sberbank and HSE University’s Faculty of Computer Science, the laboratory will focus on applying machine learning methods to financial services.

Vladimir Podolskii, Head of HSE’s Big Data and Information Retrieval School, and Elena Vakulenko, Assistant Professor at the Department of Applied Economics, have both received awards for research in mathematics and labour studies, respectively.

Researchers of the Faculty of Computer Science presented their papers at the annual conference of Neural Information Processing Systems (NeurIPS), which was held from 2 to 8 December 2018 in Montreal, Canada.

Tenured HSE Professor Fuad Aleskerov, who is the head of the Faculty of Economic Sciences’ Department of Mathematics, has become a member of the Informatics section of the Academia Europaea.

The HSE Faculty of Computer Science has launched the International Laboratory of Stochastic Algorithms and High-Dimensional Inference (HDI Lab). The Lab’s Academic Supervisor,Eric Moulines, and Chief Research Fellow, Vladimir Spokoiny, spoke to us about the fundamental and applied aspects of research performed by the laboratory, their relations with machine learning, and Russian-French academic ties.

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.