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Forbes University Ranking: HSE Has Top Reputation among Employers

Forbes University Ranking: HSE Has Top Reputation among Employers

© HSE University

On May 22, Forbes Education released its updated ranking of the 100 best universities in Russia for 2025. HSE University retained its second-place position, having established itself as the university with the highest employer reputation. Among the top 20 were 12 universities from Moscow, three from St Petersburg, two from Tatarstan, and one each from the Sverdlovsk, Novosibirsk, and Tomsk regions.

Forbes Education continues to monitor the dynamic changes in the field of higher education, identifying institutions that demonstrate high standards of quality and demand. In this new, seventh edition of the ranking of Russia’s best universities, institutions were assessed based on 17 criteria grouped into key metrics: networking quality, reputation among employers, international image, and academic environment. The Forbes factor was also taken into account, awarding additional points to universities whose alumni are featured in the Russian Forbes list or were among the winners of the 2024 30 Under 30 ranking.

This year, HSE maintained its second-place ranking, outperforming Lomonosov Moscow State University (MSU) by 0.7 points and reaffirming its status as the university with the strongest reputation among employers. Other institutions also stood out in specific metrics: Moscow Institute of Physics and Technology (best university for admissions quality), MSU (leader in the ‘International Reputation’ category), and Innopolis University (top in academic environment quality).

A total of 564 higher education institutions were included in the long list. The analysis was based on data from the Monitoring of Educational Institutions conducted by the Russian Ministry of Education and Science, surveys of the country’s top employers, and information from open sources.

To assess employer reputation, a survey was conducted among major companies featured in the list of Russia’s best employers. The survey identified universities whose graduates are considered the most qualified and are the top choice for recruitment. Companies also named institutions they believe provide the highest quality training in fields such as economics, information technology, engineering, marketing and communications, natural sciences, the humanities, and the creative industries. The survey covered 43 industries across various Russian regions.

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HSE University Expands Cooperation with Malaysia in Technology Foresight

HSE University researchers will take part in a study of the future of engineering education in Malaysia, while the Malaysian Industry-Government Group for High Technology (MIGHT) will use the iFORA big-data analysis system to validate the findings of its foresight research. These are the outcomes of a visit by HSE representatives to Kuala Lumpur.

Biologists Discover 'Molecular Fingerprint' of Preeclampsia

Researchers at HSE University employed a new method to model hypoxia in placental cells during pregnancies complicated by preeclampsia and identified molecular markers of tissue hypoxia. Since hypoxia is one of the key mechanisms underlying preeclampsia, these findings are important for a more accurate and timely diagnosis of the disease and for the development of effective treatment methods. The paper has been published in Placenta.

‘Hedgehog’ Versus ‘Relatives’: Researchers Measure How the Brain Responds to Unexpected Words During Natural Speech

Russian neurophysiologists, including researchers from HSE University, have demonstrated the feasibility of using event-related fields (ERFs) to study brain activity during natural speech perception. The researchers showed that this approach can be applied not only to individual words but also to continuous speech. Their findings indicate that words whose meanings differ significantly from the preceding context require longer processing times. The study also reveals that the brain processes function words in two stages: first, it identifies their grammatical role and then uses this information to predict the next word. The study has been published in Frontiers in Human Neuroscience.

Scientists Develop Algorithm for More Reliable Processors in Data Centres

Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.

Researchers Rank Recommendation Algorithms Using Sports Tournament Model

Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed an approach for selecting recommendation algorithms more effectively. Their approach uses pairwise comparisons of algorithms to create a tournament table, with the overall ranking based on their performance across all datasets in the tournament. This can reduce the number of algorithms that need to be tested when developing new services, saving both time and money. The study was presented at the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2026).

Researchers Develop Method for Direct Generation of Regulatory DNA

Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’

Researchers at HSE University and Sber Train Neural Networks to Better Predict User Preferences

The HSE FCS AI and Digital Science Institute and Sber have introduced a new architecture for recommendation systems that combines two classes of models, enabling algorithms to better predict users’ interests and needs. A preprint of the paper has been published on arxiv.org and presented at Urban ML.

HSE Graduate School of Business and Alfa-Bank Hold Summer School for Students from China

Twenty-seven students from Chinese universities took part in the international summer school ‘Digital Product Management’ organised by the HSE Graduate School of Business and Alfa-Bank. Over the course of a week, participants explored the Russian economy and business environment, learned about current technology trends, and worked through the key stages of digital product development step by step—from researching user needs and defining a problem to developing a prototype and presenting their final project.

Physicists Discover What Happens Inside a Stable Vortex

Large vortices with characteristic spiral arms are often observed in the atmosphere and the ocean. Physicists from HSE University have explained how these structures form and why they retain their shape. The researchers found that velocities at points located along the same vortex arc remain correlated even over long distances. At the same time, this correlation weakens rapidly with increasing distance from the vortex centre. These differences help explain the formation of spiral arms and may improve models of atmospheric and oceanic currents. The findings have been published in Physical Review Fluids.

HSE University and the Government of Perm Krai Expand the Development of Creative Industries

HSE University and the Government of Perm Krai have signed a strategic partnership agreement. The document, signed by HSE University President Nikita Anisimov and Perm Krai Governor Dmitry Makhonin, defines new areas of collaboration in the creative economy, education, and human resources in Primakamye.