A New Section on AI and a Prizewinning Paper: Early-Career HSE Researchers Take Part in IEEE EDM Conference
The 27th IEEE International Conference of Young Professionals in Electron Devices and Materials (EDM) has taken place in the Altai Republic. This year, researchers from HSE University presented the results of their research and were involved in organising a new section on artificial intelligence. A paper by HSE master’s student Rodion Sidorenko was awarded third place in the research paper competition at the conference.
More than 300 participants from over 20 countries attended the 27th IEEE EDM conference, which ran from June 27 to July 1, 2026, at the Erlagol Sports Base in the Altai Republic. The conference featured 12 sections devoted to the application of technological achievements in various sectors of science and industry.
This year saw the addition of a section on AI Research and Applications co-chaired by Andrey Kuzmin, Professor at Penza State University, and Mikhail Hushchyn, Leading Research Fellow of the Laboratory of Methods for Big Data Analysis at the AI and Digital Science Institute, HSE Faculty of Computer Science. The new section quickly became the biggest in the conference—the organisers received more than 70 applications, 33 of which were accepted for the conference programme.
‘I am delighted that the section brought together research in vastly different fields—from basic machine learning methods to applied solutions for industry, medicine, and engineering. I am grateful to the conference organisers for their trust and for the opportunity to chair this section. I am certain that interest in AI will only grow, and that this section will become an essential part of IEEE EDM. The conference was held in a unique place—among the picturesque nature of Altai, and it is a wonderful opportunity not only to present your research and meet colleagues, but also to have unforgettable experiences,’ shared Mikhail Hushchyn.
Representatives of HSE University took part in several sections. Kirill Katsuba, Research Assistant at the Laboratory of Methods for Big Data Analysis (LAMBDA), presented the paper ‘Synthetic Tabular Data Generation for Data Storage Systems,’ prepared as part of the HSE Mirror Laboratories project. The research was conducted in collaboration with the Artificial Intelligence Research Centre of the Engineering School of Information Technologies, Telecommunications, and Control Systems at Ural Federal University and is devoted to the application of AI methods to improve the efficiency of data centres and storage systems.
Kirill Katsuba
‘We investigated methods of generating synthetic data that allow us to model the behaviour of data storage systems and produce various operating scenarios. These technologies open up new opportunities for analysing the functioning of complex IT systems, predicting their performance, and testing new algorithms in a safe digital environment. This is particularly important in cases when conducting physical experiments is not possible, economically feasible, or sufficiently accurate. The results of the research can be applied to create intelligent tools for monitoring, optimising, and modelling modern engineering systems,’ explained Kirill Katsuba.
Rodion Sidorenko, first-year student of the Master’s in Computer Systems and Networks at HSE MIEM, presented the paper ‘Productivity of Moden Machine Translation Systems (Based on Translation from Russian into Kazakh)’ in the Health Informatics and Digital Humanities section. His study compared the efficiency of existing machine translation methods using the BLEU algorithm and analysed common translation errors for the given language pair. The paper was well received by the expert community and won third place in the research competition.
‘The participation of students and faculty in this event plays a major role in helping early-career HSE researchers to establish themselves. The opportunity to get expert feedback about your research and to familiarise yourself with the work of other researchers is vital to the professional development of specialists who are just starting out,’ said Rodion Sidorenko.
HSE University experts also presented their research on coding theory and neuroscience: Feodosii Kotov, visiting lecturer at HSE MIEM, presented the paper ‘Decoder-Aided Reliability Reweighting for Ordered Statistics Decoding;’ Oleg Sazonov, Research Assistant at the Centre for Bioelectric Interfaces of the HSE University Institute for Cognitive Neuroscience, presented his research titled ‘Anatomical and Electrophysiological Correlates of Deep Brain Stimulation Efficacy in Parkinson’s Disease and Dystonia;’ and Nikita Otstavnov, Junior Research Fellow at the Institute for Cognitive Neuroscience, presented his work on ‘Traces of Working Memory Modality-Specific Activation.’
The conference proceedings will be submitted for inclusion in the IEEE Xplore digital library, with the top papers becoming eligible for submission to IEEE’s periodical journals.
For more than 25 years, the IEEE EDM conference has been jointly organised by Novosibirsk State Technical University, IEEE Siberia, and IEEE Young Professionals, with support from the Ministry of Science and Higher Education of the Russian Federation and industrial, educational, and scientific partners. Over the years, it has grown into a major international platform for knowledge exchange and networking among researchers.
IEEE is largest international professional association of specialists in technology, electronics, and informatics. It has developed world-famous standards such as Wi-Fi and Ethernet and publishes a significant share of the world’s technical literature.
See also:
HSE Computer Science Researchers Win Gold Medal at International Machine Learning Competition
A team comprising HSE International Laboratory of Statistical and Computational Genomics researchers Aleksei Shmelev and Nikita Chervov, 2025 graduate of the HSE Faculty of Computer Science’s Master’s programme in Data Analysis in Biology and Medicine Ivan Gevorkov, and two students from the United States achieved an outstanding result at the 2026 NeuroGolf international machine learning championship. The team won a gold medal and placed seventh overall.
‘Working with AI Solves a Wide Range of Engineering Problems’
Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.
‘The Peak of Stupidity’ and ‘The Valley of Despair’: HSE Economists Propose an Explanation for the Dunning–Kruger Effect
The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.
Advancing Collaboration: HSE Faculty of Computer Science and Harbin Institute of Technology Hold Joint Seminar
From July 13 to 16, 2026, the Faculty of Computer Science hosted the Russian–Sino Research Seminar on Machine Learning Applications, organised by the HSE Laboratory for Cloud and Mobile Technologies in partnership with the Harbin Institute of Technology (China). A delegation comprising seven students and three university representatives travelled to Moscow to take part in an intensive four-day programme.
‘AI Enables Researchers to Tackle More Complex and Important Problems’
In late July 2026, Dmitry Rybin, a graduate of the HSE Faculty of Mathematics who is now working in China, used ChatGPT to disprove a longstanding mathematical hypothesis. In an interview with the HSE News Service, he discussed AI's ability to make discoveries in mathematics, reflected on his time at HSE University, and spoke about his doctoral research at the Chinese University of Hong Kong.
HSE Initiates Development of Ethical Standard for Anthropomorphic Robots
Beyond technological solutions, the development of anthropomorphic robotics also demands ethical ones. In July 2026, the HSE Institute for Robotics Systems hosted a foresight session dedicated to developing an Ethical Standard for Anthropomorphic Robotic Complexes. Representatives from businesses, government bodies, scientific organisations, and universities gathered to discuss key ethical and legal issues surrounding the development of anthropomorphic robotic complexes. The main outcome of the meeting was a draft of the Ethical Standard.
Physicists at HSE University and FIAN Discover Way to 'Photograph' Sound for Testing Materials Used in 6G Communications
Researchers at HSE University, in collaboration with colleagues from the Lebedev Physical Institute of the Russian Academy of Sciences (FIAN), have developed a method for rapidly determining how firmly a film is bonded to a substrate. This is important for the creation of ultrahigh-frequency acoustic filters, which are key components of next-generation 5G and 6G communications. For the first time, researchers have succeeded in measuring the lateral rigidity of the bond between a two-dimensional material film and a substrate in this way. The study results have been published in Applied Physics Letters.
AI for Doctors: HSE Faculty of Computer Science Delivers Course for Russian University of Medicine Students
In June 2026, the HSE Faculty of Computer Science (FCS) completed a course on the use of artificial intelligence in medicine for first-year Paediatrics students at the Russian University of Medicine. The course was delivered with support from a grant awarded to HSE University under the Artificial Intelligence federal project, part of the national project ‘Data Economy and the Digital Transformation of the State.’
HSE University to Launch New AI Supercomputer
HSE University is preparing to launch its second supercomputer. The new cluster will be primarily dedicated to artificial intelligence (AI) workloads and will complement the existing cHARISMa supercomputer. It is scheduled to become operational by the end of 2026.
HSE MIEM Students to Develop Two Satellites from Scratch for Orbital Experiments
The devices, created by student teams, will conduct space research on the properties of promising solar cells, on-board energy storage systems, and serial electronics for student satellites.