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Zhou Jinyu, from China, is a fourth-year student of the Bachelor’s programme ‘Data Science and Business Analytics’ at the HSE University Faculty of Computer Science. On March 5, 2026, Zhou Jinyu delivered the report ‘Exploration of Object-Centric Process Mining Using Object-Centric Sequence Diagrams’ as part of the PAIS Lab seminar. In her interview with the HSE News Service, she spoke on her research topic, how object-centric process mining lets data reflect reality, and her overall experience of studying at HSE University.

An international team, including scientists from HSE University, has collected and analysed data from dozens of experiments on charm mixing—the process in which an unstable charm meson oscillates between its particle and antiparticle states. These oscillations were observed only four times per thousand decays, fully consistent with the predictions of the Standard Model. This indicates that no signs of new physics have yet been detected in these processes, and if unknown particles do exist, they are likely too heavy to be observed with current equipment. The paper has been published in Physical Review D.

At an international foresight workshop on artificial intelligence held at HSE University, Russian and foreign scholars discussed the trends and challenges arising from the rapid development of AI.

Researchers at the HSE Faculty of Computer Science have developed a new approach to modelling data storage systems based on generative machine learning models. This approach makes it possible to accurately predict the key performance characteristics of such systems under various conditions. Results have been published in the IEEE Access journal.

The 2025 Breakthrough Prize in Fundamental Physics has been awarded to the international collaborations of experiments at the Large Hadron Collider (LHC) at CERN, including the LHCb collaboration, in which researchers from HSE University have participated.

Experts in computer technology from HSE University and the Joint Institute for Nuclear Research (JINR) discussed collaboration and joint projects at a meeting held at the Meshcheryakov Laboratory of Information Technologies (MLIT). HSE University was represented by Lev Shchur, Head of the Laboratory for Computational Physics at the HSE Tikhonov Moscow Institute of Electronics and Mathematics (HSE MIEM), as well as Denis Derkach and Fedor Ratnikov from the Laboratory of Methods for Big Data Analysis at the HSE Faculty of Computer Science.

On March 29, HSE University signed a cooperation agreement with the Joint Institute for Nuclear Research (JINR). The agreement outlines the primary areas of cooperation between the organisations, including participation in NICA Megascience Project experiments, collaborative activities in theoretical physics and information technology, and the development of human resources through joint training initiatives.

The Laboratory of Methods for Data Analysis of the HSE Faculty of Computer Science, in collaboration with the All-Russian Research Institute of Experimental Physics (RFNC-VNIIEF, Sarov) and the National Centre for Physics and Mathematics, recently held the Second All-Russian School-Seminar on High Energy Physics and Accelerator Technology.

On November 1st-3rd, 2022 the International Laboratory of Stochastic Algorithms and High-Dimensional Inference of the HSE Faculty of Computer Science and the Laboratory of Methods for Big Data Analysis with the support of HSE AI Centre and the Russian Science Foundation organized the first autumn school and conference on artificial intelligence ‘Fall into ML’. The new format of the event included a school for students and young researchers.

Researchers from the Laboratory of Methods for Big Data Analysis (LAMBDA) at the HSEFaculty of Computer Science have created a monitoring system that is used in the Large Hadron Collider beauty experiment (LHCb). The system helps track the quality of the collected data and allows operators to quickly find errors.