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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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Annals of DAAAM and Proceedings of the International DAAAM Symposium

Vol. 31(1): Proceedings of the 31st International DAAAM Virtual Symposium ''Intelligent Manufacturing & Automation''. Wien : DAAAM International Vienna, 2020.
Under the general editorship: B. Katalinic

The 31st DAAAM International Symposium on Intelligent Manufacturing and Automation was organised as virtual online conference hosted by the University of Mostar, Mostar, Bosnia and Herzegovina, between the 21st and 24th October 2020, during the DAAAM International Week. The Symposium was organized by DAAAM International Vienna in cooperation with ÖIAV 1848, Vienna University of Technology, International Academy of Engineering, University of Mostar and University of Applied Sciences – Technikum Wien and Under the Auspices of the Danube Rectors’ Conference & Rectors’ and Presidents’ Honor Committee of DAAAM International for 2020. This year’s symposium aimed at continuing the success of the previous years, focusing on the five-fold traditional objectives of the symposium: the presentation of the most recent high-quality results, support of development of young scientists and researchers, organization of international (summer) doctoral school, inauguration of new members of Central European Branch of International Academy of Engineering and the provision of the necessary setting for stimulating discussions, brainstorming and networking among European and international researchers coming both from the academia government agencies and industry.

The papers discuss many aspects of modern manufacturing and automation such as: Algorithms, Artificial Intelligence, CAX, Computer Integration, Control, Cutting Tools, Design, FEM, Invited Lectures, Knowledge, Management, Manufacturing System, Mechatronics, Methodology, Methods, Modelling, Optimization, Robotics, Simulation, Technical Solutions, Technology and Trends.

Chapters
BIG DATA-DRIVEN DIGITAL ECOSYSTEM FRAMEWORK FOR RAILWAY REPORTING
Suleykin, A., Panfilov, P., , in: Annals of DAAAM and Proceedings of the International DAAAM SymposiumVol. 31(1): Proceedings of the 31st International DAAAM Virtual Symposium ''Intelligent Manufacturing & Automation''.: Wien: DAAAM International Vienna, 2020. Ch. 70 P. 0499–0509.
In our application research, we propose a Digital Ecosystem approach to overcome data integration, orchestration and quality challenges in railway reporting system using Big Data technologies. We are building a Digital Ecosystem Framework consisting of different Agents, where each Agent is an essential part of the Railway Reporting Management System. In this work, we address ...
Added: October 27, 2020
Research target: Computer Science Social Sciences Engineering and Technology
Priority areas: economics law IT and mathematics business informatics mathematics engineering science
Language: English
Text on another site
Keywords: automationsimulation modelingcomputer aided design Intelligent Manufacturingrobotics and mechatronicstechnology and trendscomputer aided manufacturingdigital transformation
Annals of DAAAM and Proceedings of the International DAAAM Symposium
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