Tag "research projects"

Researchers from HSE MIEM and IPKON RAS have developed a new mathematical monitoring model that can identify the source of hazardous underground vibrations in real time. The technology could help reduce the risk of damage to buildings, roads, and other infrastructure located near quarries and mining sites. The paper has been published in Russian Mining Industry.

Last year, Stephen Sodoke, a master's student on the Population and Development programme at the Vishnevsky Institute of Demography, HSE University, won the Student Research Paper Competition. This year, as a recent HSE graduate, he has published two articles in first-quartile journals and secured a PhD position at the University of Sydney. In this article, Stephen Sodoke discusses his research and the role HSE played in shaping his academic career.

Researchers at HSE University, in collaboration with colleagues from other Russian institutions, have identified which mutations in the ACVRL1 gene may be pathogenic in patients with pulmonary arterial hypertension. The team modelled how genetic variations affect ATP binding to the protein—a process essential for transmitting signals required for normal vascular function. The researchers found that 20 of the 32 variants studied can disrupt signal transmission and are therefore likely to cause disease. The findings have been published in the Journal of Structural Biology.

Researchers at HSE University and MSU have established a universal law governing the time to extinction of a population in a random environment. Their analysis of the evolution of branching processes—complex probabilistic systems—shows that, regardless of the initial population size, extinction follows strict mathematical laws. The results have been published in the Journal of Applied Probability.

HSE University hosted the 13th Summer Neurolinguistics School, organised by the Centre for Language and Brain with support from the HSE Faculty of Humanities. The programme focused on collaboration among neurolinguists, neurosurgeons, and neurophysiologists in the operating room, standardisation of linguistic paradigms, and practical approaches to preserving patients’ language function.

Today, interactions between citizens and government increasingly take place through digital governance platforms, including digital public services, AI-powered systems, and algorithmic decision-making tools. Until now, however, these technologies have largely been viewed as technical instruments, with their effectiveness assessed primarily in terms of efficiency and user-friendliness. The authors of a new study propose a broader perspective, arguing that digital governance should also be understood as an emotional experience that directly shapes citizens' trust in public institutions.

Artificial intelligence (AI) significant impacts on the economy and society, touching on a wide range of areas, from strategic management and decision-making to everyday communication. Experts from the HSE Institute for Statistical Studies and Economics of Knowledge (ISSEK) used the iFORA system to map key fractures —areas where changes have already become irreversible and will only intensify.

HSE University keeps expanding the partnership with Latin America: at IPW-2026, experts from leading South American universities delivered lectures for HSE University-St Petersburg students on environmental projects, social politics and international relations, and discussed prospects of cooperation with Russia.

Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.

HSE researchers are training large language models (LLMs) to understand Russian-language scientific terminology while improving their energy efficiency. The adapted model runs 2.7 times faster and requires 73% less memory than the original open model, allowing it to operate on more affordable hardware. The programme has passed state registration.