HSE Students Win International Olympiad in Artificial Intelligence
In the finals of the olympiad, the Russian team competed with 300 talented schoolchildren from 61 countries, including Australia, Brazil, Hungary, China, Mexico, the United Arab Emirates, Poland, Serbia, Singapore, the USA, Sweden, and Japan. The finals included team and individual rounds. In the team round, the Russian team made it into the top 10, winning a silver medal. In the individual competition, Russian schoolchildren won six gold medals, one silver, and one bronze.
Danis Dinmukhametov, graduate of School No. 2107 (Moscow), and Andrey Khlopotnykh, graduate of Physics and Mathematics Lyceum No. 30 (St Petersburg) are among the gold winners. This year they enrolled in the Bachelor's Programme in Applied Mathematics and Information Science at the HSE Faculty of Computer Science. Artyom Mazur, silver winner of IOAI 2025 and graduate of Gazprombank School (Moscow), will also study on this programme.
Danis Dinmukhametov
I’m interested in artificial intelligence firstly because it represents the junction of mathematics and programming, two of my favourite areas, and secondly, this area gives me an opportunity to combine advanced technologies with solving everyday problems. I've been participating in olympiads for several years—I made this decision after I had the idea to study at a good university and realised that I needed serious achievements on a national and international scale,’ says Danis Dinmukhametov.
His impressions of IOAI are positive. He says that the event was very well organised, given that this is the second time the olympiad has been held. ‘China was welcoming. In terms of difficulties, I would mention the rather high competition, time limits, and stress when you can’t solve the task for a long time. I liked the tasks as a whole—they are exactly what they should be at events like this, or close to it,’ said the winner. ‘Upon admission, I spent a long time choosing between MIPT and HSE University. As a result, I chose the HSE Faculty of Computer Science, as it combines three important factors: a high level of teaching in fundamental sciences, an excellent student community, and a convenient location in the city centre.’
Danis Dinmukhametov plans to continue to participate in various olympiads and competitions. ‘In addition, I plan to conduct research. I’m going to enrol in the AI360: Artificial Intelligence Engineering research track, which will help me in this,’ said the student.
Andrey Khlopotnykh
The field of artificial intelligence appealed to Andrey Khlopotnykh because it combines mathematics and computer science. ‘I started participating in AI olympiads from the ninth grade,’ he said. ‘IOAI was a success for me; I managed to win a gold medal in the individual competition, as well as take second place in the team competition. Upon admission, I chose the Faculty of Computer Science, as I believe that it provides the best education in the field of artificial intelligence. In the future, I plan to continue participating in AI competitions, as well as try my hand at research.’
Artyom Mazur
The field of AI is quite young and provides great opportunities for research, says Artyom Mazur. ‘I like the fact that this is the cutting edge of modern science, where there is still a lot left unexplored, which means there is an opportunity to contribute to its development,’ said Artyom. ‘I started participating in AI olympiads in the 11th grade. Despite the fact that this was my first olympiad season in this field, I managed win several all-Russian olympiads. The olympiad in Beijing turned out to be an incredibly rewarding experience for me. It was interesting to assess the level of competitive machine learning in other countries, as well as to work on non-trivial tasks. The time limit turned out to be the most difficult part for me: six hours for three tasks is quite short period of time when I have a lot of hypotheses in my head that need to be tested.’
Artyom Mazur chose HSE University for several reasons. ‘First of all, the teaching staff here is strong. Secondly, I’ll have an opportunity to study AI science from the very first year. And thirdly, it brings together enthusiastic and talented students. In the future, I would like to focus on research — this is the most interesting and useful activity for me,’ said the student.
See also:
‘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.
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.
‘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.
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 & VK Engineering and Mathematics School Showcases 13 Projects at 10th Demo Day
The 10th Demo Day of the Joint HSE & VK Engineering and Mathematics School was held at the VK Moscow office. Students of the three workshops presented the results of 13 projects in the fields of artificial intelligence, information security, and digital platforms. Students worked on the development of recommendation services, systems for psycholinguistic text analysis and speech processing, methods for identifying celebrities in videos, algorithms for determining the toxicity of memes, security mechanisms for AI systems, and approaches to improving the effectiveness of neural network models.
Tabular Data Anonymisation Solution for Safe Use in AI Systems Developed at HSE University
The AI and Digital Science Institute at the HSE Faculty of Computer Science has developed a tabular data anonymisation service designed to prepare corporate datasets for use in analytics and AI applications. The solution can identify personal data in structured datasets, apply consistent and reproducible anonymisation rules, and generate the artifacts required for quality control, auditing, and subsequent use of data in secure environments.
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.
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.
HSE Graduate’s AI Project Wins at TECH & AI Awards
Daria Davydova, graduate of the HSE Graduate School of Business and Head of the AI Implementation Unit at the Artificial Intelligence Department of Alfa-Bank, received a prize at the TECH & AI Awards. She was awarded for the best AI solution for optimising business processes. The winners were determined as part of the VII Russian Summit and Awards on Digital Transformation (CDO/CDTO Summit & Awards).