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News
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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?

Developing and Running a Set of Competitive College/University Blended Courses

Ch. 2. P. 23–45.
Alexander S. Belenky

A mathematical model underlying a decision support tool letting a college/university administration (a) find a financially optimal composition of teachers to design and run blended courses for its students using fragments of recorded lectures of distinguished professors from world-leading universities, and (b) be competitive in the education market of potential students by offering such designed blended courses, along with corresponding explanations and tutorials, in a new learning environment at affordable tuition fees, is proposed. This model, reflecting the college/university expenses associated with running each such blended course, lets its administration calculate (a) the maximal percentage of the students expected to succeed in studying each course from a set of these courses under a fixed budget, and (b) the minimal budget to secure desirable percentages of the students expected to succeed in studying particular blended courses from this set. The calculation can be done by formulating two Boolean programming problems on the basis of the proposed model and solving them using standard software packages.

Language: English
DOI
Text on another site
Keywords: mathematical modelsblended learningInteger programming problemsPercentages of the students expected to succeedStrategies of designing and running Blended courses - university competitiveness in the market of potential students
Publication based on the results of:
Analysis of models of multi-criteria, social, optimization and structural choice of solutions (2023)

In book

Data Analysis and Optimization. In honor of Boris Mirkin’s 80th birthday
Cham: Springer, 2023.
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