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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.
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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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FPGA implementation of robust and low complexity template-based watermarking for digital images

Multimedia Tools and Applications. 2024. Vol. 83. No. 20. P. 58855–58874.
Dzhanashia K., Oleg Evsutin

Watermarking is a widespread technique for information protection and an invisible alternative to quick response codes. The literature mainly considers software implementations of watermarking methods, even though there are applications for which hardware watermarking solutions become preferable or the only possible option due to increased speed, power, or information safety requirements. A convenient, flexible, and universal solution for hardware development is intellectual property (IP) cores. IP cores are building blocks for creating processors on FPGA or ASIC. The main objective of this work is to present the implementation of the robust watermarking method in the form of an IP core suitable for image processing systems on processors. The main contribution of this work is that it is the first hardware implementation of template-based watermarking for modern neural network-based extraction methods. The paper briefly discusses the existing hardware solutions for embedding data, describes the implemented watermarking method and the implementation itself, and provides the key indicators of the resulting solution and a link to the public repository with the solution. The proposed watermarking scheme has good imperceptibility (PSNR of 39.66), bpp of 0.00097, and BER of less than 3% for attacks. The implementation supports a frequency of 120 MHz.

Research target: Computer Science Electronics and Electrical Engineering
Language: English
DOI
Keywords: FPGAdigital imagesimage processingwatermarkingtemplate-based watermarking
Publication based on the results of:
New data protection methods in cyber-physical systems (2022)
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