By KYIV. Oct 28 (Interfax-Ukraine) – Researcher at the Department of Function Theory of the Institute of Mathematics of the National Academy of Sciences of Ukraine Kateryna Pozharska is the winter of the 2023 Joseph F. Traub Information-Based Complexity Young Researcher Award. The official announcement about this appeared on the Journal of Complexity website. The award is given for significant contributions to information-based complexity by a young researcher who has not reached their 35th birthday by September 30th the year of the award.
In 2015, Pozharska entered graduate school in the Department of Function Theory at the Institute of Mathematics of the National Academy of Sciences of Ukraine. She prepared and successfully defended her PhD thesis on the topic “Best approximations and entropy numbers for classes of periodic functions of several variables.” After defending her dissertation, Pozharska continued her scientific research as a researcher in the Department of Function Theory at the Institute of Mathematics. In 2020-2021, Pozharska received a scholarship from the National Academy of Sciences of Ukraine for young scientists, and in 2021, as part of a team of employees from the Department of Function Theory (Pozharska, Tetiana Stepaniuk and Serhiy Yanchenko), she was awarded the Presidential Prize of Ukraine for young scientists.
In 2022, Pozharska received a Humboldt Foundation scholarship for postdoctoral research at the Faculty of Mathematics of the Chemnitz University of Technology Germany, under the supervision of Prof. T. Ulrich.
The team in which the scientist works is engaged in the study of modern problems in approximation theory and the development of algorithms for reducing information complexity, which are used in machine learning.
