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September 25, 2026
AI Users Earn Up to 41.8% More Than Non-Users
Research conducted by economists at HSE University has revealed a significant correlation between the regular use of GenAI in the workplace and higher pay among Russian employees. The study found that individuals who frequently use GenAI in their professional activities earn notably more than those who reject these new tools or resort to them occasionally. The salary premium for highly qualified specialists reaches 41.8%. The article was published in the Voprosy Ekonomiki journal.
September 24, 2026
‘Feedback and Constructive Criticism Are Essential in Our Profession
Vincent Fardeau, Associate Professor at HSE ICEF, has reached a major career milestone: he recently published his paper ‘Asymmetric Thin Markets’ in the Journal of Financial Economics, successfully passed his major academic review, and received tenure. In this interview, Vincent discusses the story behind the paper, explains the concept of asymmetric thin markets, and shares his advice for young scholars aiming to publish in top-tier journals.
September 22, 2026
Personal Interest in Doctoral Thesis Topic Most Important for Confidence in Successful Defence
A researcher at HSE University analysed data on 1,539 doctoral students from 161 Russian universities to identify which features of a thesis topic are associated with academic success and engagement. The most important factor was found to be personal interest in the research topic, which was associated with almost all key aspects of doctoral programme experience—from engaging with the academic supervisor to research activity and confidence about successfully defending the thesis. The findings have been published in Higher Education.

 

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QRIS: a QuaDRiGa-Based Simulation Platform for Reconfigurable Intelligent Surfaces

IEEE Access. 2023. Vol. 11. P. 90670–90682.
Ilya Burtakov, Aleksey Kureev, Andrey Tyarin, Evgeny Khorov

Reconfigurable Intelligent Surfaces (RISs) are a promising way to improve the performance of wireless networks. However, despite the high interest in the research community, no flexible enough simulation platform allows studying the performance of wireless communication systems with RIS in complex scenarios. To address this issue, the paper presents an open-source channel simulation platform to study RIS in wireless communication systems. The developed open-source platform extends the QuaDRiGa channel model, which is widely used for the performance evaluation of 5G and Wi-Fi networks with multiple antennas. The paper shows how to use the platform—called QRIS—to evaluate RIS in various frequency conditions, such as indoor/outdoor scenarios and multiple-RIS deployments.

Research target: Computer Science
Language: English
Full text
DOI
Keywords: RIS
Publication based on the results of:
Methods for data transmission quality improvement in wireless local area networks using external reconfigurable reflectors (2023)
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