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News
July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.

 

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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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