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September 4, 2026
Time to Showcase Your Research: Applications Are Now Open for Student Research Paper Competition 2026
Taking part in the Student Research Paper Competition (SRPC) gives you an opportunity to present your research to experts, receive an independent assessment, and determine the future direction of your work. The competition is open to students graduating in 2026 not only from HSE University but from universities in Russia and abroad. Papers may be submitted in Russian and English, and in some fields also in French, German, and Spanish.
September 4, 2026
‘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.
August 25, 2026
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.

 

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?

IoT-Platform for ML-based Industrial Air Emissions Data Processing

P. 1045–1050.
Kychkin A., Oleg Gorshkov, Mikhail Kukarkin

With the development of Industry 4.0, it is necessary to search and develop IoT platforms for monitoring, control, and management of industrial enterprises' impact on atmospheric air. The proposed platform can be used to create unified integrated solutions for pollution monitoring, online analysis of statistics and forecasting the dynamics of atmospheric air pollution, as well as automatic regulation of technological processes according to the criterion of environmental safety. The platform differs from the known ones by its modular solution principle, including the use of an integration server based on Industrial Internet of Things (IoT) technologies, availability of flexible customizable visualization based on customizable widgets, including GIS, as well as use of a low computational complexity machine learning analytical server in the control loop, which together allow for quick design and integration of SaaS environmental services operating in online mode.

Language: English
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Keywords: машинное обучениеforecastingпрогнозplatformинтернет вещейmachine learningархитектура системыэкомониторингплатформаsystem architecture Internet of Thingsecological monitoring

In book

2022 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)
Sochi: IEEE, 2022.
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