About the Department

The Department of Mathematics fits perfectly into the structure of the School of Physics, Mathematics, and Computer Science as it supports and develops the fundamental aspects of learning and academic research. The aim of the department is to provide teaching in mathematics for all specialisations at HSE to the highest international standards and the development of fundamental and applied research in mathematics, its applications, tools and methods.

This includes the following key tasks:

• active support of the staff’s academic potential; early-stage involvement of students and graduates in research work; advancing new mathematical methods and tools and implementing them in the study of social-economic processes;
• establishing norms of strict evidence in applied research; active involvement in academic conferences; constant communication and cooperation with colleagues around the world.

The department brings together specialists in different areas of pure and applied mathematics, contemporary informatics and information modelling of socio-economic processes, plans and applications of algorithms and research tools. We thus possess competencies in an extraordinarily wide range of areas in mathematics and its applications.

Nikolai Shirokov

Department Head

 

‘The basic principle and credo of the Department of Mathematics can be expressed in the words of Immanuel Kant: 'In every department of physical science there is only as much science as there is mathematics.' Our main asset is our staff, some of whom have international reputations and academics with brilliant publications, they combine intensive research with teaching. Y. Y. Nikitin is a major specialist in asymptotic problems of the theory of probability and mathematical statistics; A. D. Baranov is a specialist in complex and harmonious analysis and operators theory; S. N. Koltsov is a specialist in mathematical modelling for various sectors; S. I. Nikolenko is a specialist in theoretical informatics, bioinformatics, cryptography, machine learning and methods of probability ideas of learning; A. V. Sirotkin is a specialist in probability models, machine learning and methods of data analysis. Students and colleagues know and respect them and they represent the extremely high quality of education in our department.’