Yuri S. Kharin, Academician at the National Academy of Sciences of Belarus (66 Nezavisimosty Ave., Minsk, 220072, Republic of Belarus), Dr. Sci. (Phys.-Math.), Professor, Director of Research Institute for Applied Problems of Mathematics and Informatics at the Belarusian State University (4 Nezavisimosty Ave., Minsk, 220030 Republic of Belarus).

Hirsch-Index 9 (Scopus, December 2022)

Scopus Author ID 6603832008

http://orcid.org/0000-0003-4226-2546

E-mail: kharin@bsu.by

Phone: + (375 17) 209-51-04, 209-55-30

Web: https://fpmi.bsu.by/main.aspx?guid=31001

Academic Carrier

In 1971, Yu.S. Kharin graduated from the Tomsk State University (Tomsk, USSR).

In 1974, he defended his thesis for the Candidate of Science degree in Physics and Mathematics.

From 1976 to 1988, Assistant Professor, then Professor of Probability Theory and Mathematical Statistics at the Belarusian State University (BSU; Minsk, USSR).

In 1978, he received the title of Associate Professor.

In 1986, he defended his thesis for the Doctor of Science degree in Physics and Mathematics.

From 1988 to 2000, he was the Head of the Department of Mathematical Modeling and Data Analysis at BSU.

In 1990, he received the title of Professor.

Since 2000 to the present, Director of the National Research Center for Applied Problems of Mathematics and Informatics at BSU (since 2008 — Research Institute of Applied Problems of Mathematics and Informatics at BSU; Minsk, Republic of Belarus).

Since 2004, he has been the Corresponding Member of the National Academy of Sciences of Belarus (NAS of Belarus; Minsk, Republic of Belarus).

Since 2021, he has been the Academician at the National Academy of Sciences of Belarus.

Yu.S. Kharin is a Member of the Belarusian Association for Image Analysis and Recognition, the American Mathematical Society, the Association for Computer Science, and the European Signal Processing Association.

Research Interests

• Mathematical and applied statistics
• Informatics and information technologies
• Development of the mathematical models, methods, algorithms, and software tools for robust (sustainable) recognition and analysis of stochastic data in computer systems and information technologies

Based on the created theory of robust statistical pattern recognition and data analysis, new minimax stable to distortions of the hypothetical model algorithms for pattern recognition, identification, and prediction were developed. They guarantee the least risk avoidance on given distortion families.

Academic Advising

As a visiting professor, Yu.S. Kharin has presented papers at the University of California (Berkeley, USA), Bayreuth and Dresden Universities (Bayreuth, Dresden, Germany), University of Leicester (Leicester, UK), and other leading research centers. As a co-principal investigator together with his students he took part in international scientific projects under INTAS, ISTC, SCOPES, and REAP programs. He has trained 24 Candidates and one Doctor of Science.

Publications

Yu.S. Kharin is the author of more than 350 scientific publications, including 4 monographs, 12 tutorials, more than 80 publications in Scopus and Web of Science.

Yu.S. Kharin is the Editor-in-Chief of the Journal of the Belarusian State University: Mathematics and Informatics. He is a member of the editorial boards of 9 scientific journals.

Awards

1997 Winner of the A.N. Sevchenko Prize (Republic of Belarus)

1999 Honored Worker of Education of the Republic of Belarus

2002 Laureate of the State Prize of the Republic of Belarus in Science and Technology

2010 Honored Worker of Science of the Republic of Belarus