Mathematical Physics at HSE University Goes International
The HSE University International Laboratory for Mirror Symmetry and Automorphic Forms and the Beijing Institute of Mathematical Sciences and Applications (BIMSA) held a joint online conference on mathematical physics. The results of the laboratory research presented at the event will be published in leading academic journals.
The conference was held as part of the three-year joint research project ‘Geometry and Physics’ under the International Academic Cooperation of HSE University initiative.
Eleven reports were presented by renowned scientists in the field of mathematical physics and prospective mathematicians.
The following researchers presented reports at the conference:
- Andrey Marshakov, Professor, Head of the Joint Department with the Lebedev Physical Institute of the Russian Academy of Sciences at the HSE Faculty of Mathematics
- Alexey Litvinov, Head of the Scientific School named after I.M. Krichever, who worked closely with the laboratory during the megagrant period
- BIMSA Professor Hao Zheng
- BIMSA Associate Professors Xinxing Tang and Babak Haghighat
- Mikhail Alfimov, Senior Research Fellow at the International Laboratory for Mirror Symmetry and Automorphic Forms
Andrey Kurakin, Junior Research Fellow at the International Laboratory for Mirror Symmetry and Automorphic Forms, Pavel Osipov, Research Fellow at the laboratory; Maria Matushko, Research Fellow at the Steklov Mathematical Institute; and BIMSA postdocs Lingyan Hung and Xiaoyue Sun also participated in the event.
Valery Gritsenko
Valery Gritsenko, Head of the International Laboratory for Mirror Symmetry and Automorphic Forms, and academic director of the joint programme on the Russian part, emphasised the relevance of the delivered reports. The results of the latest research projects by laboratory staff presented at the conference will be published in three articles in academic journals indexed in the Nature Index used in the ShanghaiRanking.
Valery Gritsenko also noted that cooperation with the Beijing Institute of Mathematical Sciences and Applications of Tsinghua University allows laboratory staff to present their latest results on one of the world's best scientific platforms. The conference also helped deepen cooperation with Chinese colleagues Xinxing Tang and Babak Haghighat, who have already worked in Moscow in 2024 and 2025.
It's worth noting that Babak Haghighat, German mathematician of Iranian origin, Associate Professor at BIMSA, was a student of the famous German physicist Albrecht Klemm (Max Planck Institute for Mathematics in Bonn), with whom Valery Gritsenko collaborated on international projects in France and Germany.
‘Our cooperation with the Beijing International Institute of Mathematical Sciences and Applications helps us not only find new research perspectives, but also develop active academic contacts with all international colleagues,’ summed up Valery Gritsenko.
The full conference programme can be found on the laboratory and BIMSA websites.
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 University at IRES 2026: Student Recruitment, Space Projects, and New Partnerships with India
The second Indo-Russian Education Summit (IRES 2026) took place in New Delhi on May 28–29. This year, the event brought together more than 70 leading Russian and Indian universities. Representatives from HSE University’s Moscow and St Petersburg campuses introduced prospective students to the university’s educational opportunities at the exhibition and shared their experience in developing Russian–Indian academic cooperation.
Creative Work as a Remedy for Burnout
The creative, supportive atmosphere and innovative methods at the Centre for Sociocultural Research make it appealing to early-career scholars. Over years of working at HSE University, they grow into researchers and lecturers recognised both in Russia and abroad. Chief Research Fellow Zarina Lepshokova and Leading Research Fellow Ekaterina Bushina spoke about their journey at the centre and at HSE, their research, and the role of mentors in their academic success.
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.
HSE and Sultan Qaboos University: Expanding Academic and Research Partnership
In May 2026, a delegation from Sultan Qaboos University (Oman) made an official visit to HSE University. The main purpose of the meeting was to discuss new forms of cooperation and partnership and to identify areas of mutual interest. Representatives of HSE’s Moscow, St Petersburg, and Nizhny Novgorod campuses spoke about their shared interest in expanding joint projects, primarily in the field of artificial intelligence—a strategic development priority for both universities.
HSE and Peking University Expand Cooperation in Civil Society Research
A seminar involving Russian and Chinese scholars on cooperation between the state and non-profit organisations was held in Beijing. Participants discussed the evolution of institutions, cooperation practices, and challenges facing the development of the non-profit sector, and also presented the results of their research. The meeting concluded with agreements to expand joint projects and academic exchanges.
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.