HSE University Launches Development of Domestic 6G Communication Technologies Based on Sub-Terahertz Microelectronics

HSE University has launched a large-scale research and engineering initiative to develop domestic technologies for next-generation 6G communication systems. The project is being carried out by the team of the Strategic Technological Project 'Trusted 6G Communication Systems Technology Suite' implemented under the Priority 2030 programme.
One of the project’s key priorities is to develop the sub-terahertz frequency range above 100 GHz, which is considered essential for building next-generation high-speed wireless networks. In the past, this spectrum was rarely used in practical communication systems due to technological limitations. Today, however, it is becoming critically important for 6G development, offering ultra-high bandwidth and minimal signal delays.
The International Telecommunication Union (ITU) predicts that point-to-point implementation of sixth-generation wireless sub-terahertz technologies will begin worldwide in the coming years. In this context, developing a domestic scientific and technological base is becoming a key strategic priority, and HSE University aims to make a significant contribution to this field.
The research focuses on several cutting-edge areas. The first involves developing elements of an intelligent radio environment that can adapt to surrounding conditions and control signal propagation characteristics. The second focuses on creating wireless transceiver modules that support spectrally efficient modulation schemes and electronic beam scanning. The third area is the design of analogue neuromorphic computing circuits capable of local signal processing at high speed and with low power consumption.
The work is being carried out through close collaboration between the university’s scientists and engineers, bringing together expertise in physics, radio engineering, microelectronics, and neurotechnology. Successful implementation of these tasks will not only lay the foundation for developing domestic 6G systems but also ensure Russia's technological sovereignty in one of the most promising fields of modern science and technology.
Evgeny Koucheryavy
'Today, as never before, it is essential to rely on our own strengths and scientific tradition—not just to catch up with, but to surpass global technological trends,' says Prof. Evgeny Koucheryavy, Director of the HSE Telecommunications Research Institute. 'We are laying the foundation for Russia's sovereign telecommunications infrastructure. This is not only a scientific challenge but also a matter of national security and technological independence.'
The Strategic Technological Project 'Trusted 6G Communication Systems Technology Suite' is implemented as part of HSE University's Development Programme for 2025–2036, which won the Priority 2030 strategic academic leadership competition within the framework of the National Project 'Youth and Children.'
See also:
HSE Scientists Develop Method to Compress Large Language Models Without Losing Quality
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed a new compression method for large language models such as GPT and LLaMA that reduces their size by 25–36% without additional training or significant loss of accuracy. This is the first approach to use mathematical transformations—specifically, rotations of model weights—to make models more amenable to compression with structured matrices. The study results have been published in ACL Findings 2025. The code is available on GitHub.
Machine Learning Models Can Help Reduce Volatility and Boost Stock Market Returns
The use of machine learning models makes it possible to achieve greater accuracy in predicting risks in the Russian stock market compared to classical econometric approaches. The predictive power of these models increases by 23%, while the average investor’s return can reach up to 13% per annum. These conclusions were drawn by Nikita Lysenok from the Department of Financial Market Infrastructure at the HSE Faculty of Economic Sciences. The paper has been published in Fundamental and Applied Mathematics.
HSE Study Reveals Imbalance in the Generative AI Market
Researchers at HSE University analysed how effectively the global generative artificial intelligence market converts investment into real revenue, concluding that AI is currently developing faster than it is paying off. The results have been published in the journal Foresight and STI Governance.
‘Entering Robotics Now Means Growing with the Area’
Unmanned vehicles, courier robots, and smart speakers are rapidly becoming a part of our lives. In 2026, the HSE Faculty of Computer Science opens its new Bachelor’s Programme ‘Design of Intelligent Robotic Systems’ (DIRS). It will train specialists at the intersection of IT, artificial intelligence, and robotics. Academic Supervisor of DIRS Vadim Morgachev explains how studies are organised and why graduates of the programme ‘will definitely be accepted into the future.’
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
MIEM Tech Day at Pokrovka: Exploring HSE’s Engineering DNA Together
On May 26, 2026, the central atrium of the building at 11 Pokrovsky Bulvar will host the annual large-scale festival of engineering developments created by project teams from the HSE Tikhonov Moscow Institute of Electronics and Mathematics (HSE MIEM). The programme includes presentations of the best student technological projects, stands from partner companies and joint workshops, a lecture series featuring practising engineers, a round table on the development of engineering education, and presentations of MIEM master’s degree programmes.
HSE Students Among Winners of Yandex High-Tech Startup Accelerator
Yandex has announced the results of its Yandex AI Startup Lab accelerator, whose final round featured 12 IT projects. Over the course of three months, their creators—students and young entrepreneurs—worked alongside the company’s experts to develop their products. Four startups in digital marketing, medicine, and robotics were named the best, with their teams receiving cash prizes and cloud resource grants. Among them was Gradius, a startup founded by students from HSE University.
Researchers Find More Effective Approach to Revealing Majorana Zero Modes in Superconductors
An international team of researchers, including physicists from HSE MIEM, has demonstrated that nonmagnetic impurities can help more accurately reveal Majorana zero modes—quantum states considered promising building blocks for quantum computing. The researchers found that these impurities shift the energy levels that typically obscure the Majorana signal, while leaving the mode itself largely unaffected, thereby making its spectral peak more distinct. The study has been published in Research.
New Development by HSE Scientists Helps Design Reliable Electronics Faster at a Lower Cost
Scientists from HSE MIEM have developed a new approach to modelling electrothermal processes in high-power electronic circuits on printed circuit boards (PCB). The method allows engineers to quickly and accurately predict how electronic components heat up during operation, helping prevent overheating and potential failures. The results have been published in Russian Microelectronics.
HSE Biologists Identify Factors That Accelerate Breast Cancer Recurrence
Scientists at HSE University have identified a molecular mechanism underlying aggressive breast cancer. They found that the signals supporting tumour growth originate not from the tumour itself but from its microenvironment. The researchers also demonstrated that reduced levels of the IGFBP6 protein in the tumour microenvironment lead to the accumulation of macrophages—immune cells associated with a higher risk of cancer recurrence. These findings already make it possible to assess patient risk more accurately and may, in the future, enable the development of drugs that target cells of the tumour microenvironment. The study has been published in Current Drug Therapy.


