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Subject
News
July 24, 2026
‘I Like Self-Fulfilling Prophecies
Andrey Vorchik studies happiness, delivers popular science lectures, and believes that science should address social issues as well. In an interview for the Young Scientists of HSE University project, he spoke about how emotions influence decision-making, the Bermuda Triangle formed by the bathroom, refrigerator, and bed, and the ideal formula for education.
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.

 

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Conference Proceedings: 2026 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT), 14-15 May 2026

IEEE, 2026.

The purpose of the 2026 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT) is to bring together researchers and practitioners from multiple areas of radio science, including biomedical engineering, radioelectronics, microelectronics, information technology, smart energy, information security and others.

Chapters
Distributed Agency Syndrome: Ontological Uncertainty and the Diagnostic Boundaries of Posthuman Embodiment
Anastasia Ugleva, , in: Conference Proceedings: 2026 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT), 14-15 May 2026.: IEEE, 2026. P. 1–5.
This article examines an emerging clinical-philosophical phenomenon arising at the intersection of robotic implant technologies (neural interfaces, BCI) and psychiatric diagnostics. The authors focus on “distributed agency”, wherein a bodily part (a robotic prosthesis) possesses its own algorithmic autonomy and can act independently of the patient’s conscious control. This situation generates ontological uncertainty, presenting clinicians ...
Added: July 8, 2026
Performance Modeling of Data Storage Systems using Diffusion Models
Ali S., Temirkhanov A., Kopytov D. et al., , in: Conference Proceedings: 2026 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT), 14-15 May 2026.: IEEE, 2026. P. 1–4.
Behavior of various engineering systems exhibits stochastic characteristics. Modeling such systems requires not only estimation of mean values of signals and parameters, but also analysis of their dispersion and higher-order statistics to gain deeper insight into internal system dynamics. Conventional machine learning regression algorithms primarily focus on mean value prediction and often fail to provide ...
Added: July 10, 2026
Parameter Search for MCSA-Guided Synthetic Fault Injection in Induction Motor Diagnostics
Khizhik A., Popov A., Ali S. et al., , in: Conference Proceedings: 2026 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT), 14-15 May 2026.: IEEE, 2026. P. 1–4.
Signature-Guided Data Augmentation for Induction Motor Diagnostics (SGDA) synthesizes physically plausible faulty spectra by injecting Motor Current Signature Analysis (MCSA) harmonics into healthy current recordings in the frequency domain. A key limitation in industrial deployments is that the motor parameters required to compute MCSA targets (e.g., supply frequency and slip or rotor frequency quantities) are ...
Added: July 10, 2026
Data Centers HVAC abnormal operating behaviour Detection with semi-supervised data-driven approaches
Manjurov A., Polyakov S., Ali S. et al., , in: Conference Proceedings: 2026 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT), 14-15 May 2026.: IEEE, 2026. P. 1–4.
The paper investigates semi-supervised anomaly detection in data center heating, ventilation, and air conditioning (HVAC) systems using multivariate time-series data under limited data availability. A one-year dataset with 10-minute resolution, including nine HVAC operational parameters and two exogenous variables (outdoor temperature and IT load), was analyzed across normal and several abnormal operating regimes. A rulebased threshold ...
Added: July 10, 2026
Research target: Computer Science Electronics and Electrical Engineering Medical Biotechnologies
Language: English
Text on another site
Keywords: information technologyradioelectronicsbiomedical engineeringEthics in Information Technology
Conference Proceedings: 2026 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT), 14-15 May 2026
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