• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site

New Joint Department with RAS Marchuk Institute of Numerical Mathematics Opens at HSE University

New Joint Department with RAS Marchuk Institute of Numerical Mathematics Opens at HSE University

© iStock / peshkov

A new joint department with the Marchuk Institute of Numerical Mathematics (INM RAS) has been established at the HSE Faculty of Computer Science. This collaboration promises to combine the scientific and educational resources of two leading research centres, enabling the training of highly qualified specialists. The department is headed by Dr Andrey Bogatyrev, a professor and Doctor of Physics and Mathematics.

The Marchuk Institute of Numerical Mathematics of the Russian Academy of Sciences (INM RAS) is one of the leading research centres in Russia and globally in the field of computational mathematics and mathematical modelling. The institute actively develops numerical methods and technologies to solve complex problems.

Eugene Tyrtyshnikov

According to Eugene Tyrtyshnikov, member of the Russian Academy of Sciences, professor, Doctor of Physics and Mathematics, and Director of INM RAS, the institute has already opened departments at Moscow State University (MSU) and the Moscow Institute of Physics and Technology (MIPT). These departments are making significant contributions and facilitating numerous high-tech projects with industrial partners. ‘The new department at the HSE Faculty of Computer Science is needed to expand such projects,’ said Eugene Tyrtyshnikov. ‘It will focus on areas where INM RAS holds leading and globally recognised positions, such as the development of matrix and tensor methods, their application in optimisation problems, artificial intelligence, and solving integral equations of mathematical physics. It will also explore specialised optimisation formats based on methods of complex analysis. The department offers a unique opportunity to combine deep theoretical mathematics with the development of highly efficient methods for solving specific applied problems.’

Andrey Bogatyrev

Andrey Bogatyrev, head of the department, professor of the Russian Academy of Sciences, and Doctor of Physics and Mathematics, highlighted that INM RAS traditionally deals with various aspects of large-scale scientific and industrial computations. ‘Key areas of the institute's work include the development of new computational algorithms, computational physics, mathematical modelling of the Earth system (weather and climate forecasting), mathematical modelling in biology and medicine, as well as industrial mathematics,’ he noted.

At the new joint department, students will have the opportunity to study courses such as ‘Complex Analysis and Elements of Elliptic Function Theory,’ ‘Integral Equations and Applications,’ ‘Special Topics in Matrix Analysis,’ and ‘Theoretical Foundations of Artificial Intelligence,’ Andrey Bogatyrev emphasised. ‘In the future, we plan to introduce more specialised courses and offer students the chance to participate in major industrial projects,’ he added.

Ivan Arzhantsev

Ivan Arzhantsev, Dean of the Faculty of Computer Science, noted that establishing new fundamental departments and enhancing collaboration with RAS institutes is a priority for the faculty's development. ‘Such collaboration can be fruitful and long-term only if both sides are genuinely interested. The joint department with INM RAS not only expands the range of courses taught at the faculty by adding new applied mathematics disciplines but also offers students a chance to participate in unique research and industrial projects. Participants in such projects will gain deeper insights into current research topics, and we hope that some of them will continue their scientific work as employees of the institute,’ Ivan Arzhantsev stated.

Maxim Rakhuba

‘I graduated from a joint department with INM RAS during my studies at MIPT, and I am certainly very pleased to see a similar joint department at HSE,’ said Maxim Rakhuba, deputy head of the department and head of the HSE Laboratory for Matrix and Tensor Methods in Machine Learning. ‘I look forward to contributing to its activities at the Faculty of Computer Science. The INM employs some of the best specialists in the world in computational mathematics and mathematical modelling, who can now directly interact with some of the best students in the country. I also hope to foster scientific collaboration between the faculty’s researchers and the new department.’