During the Science Decade (April 8–14, 2026), a workshop titled “Inverse and Ill-Posed Problems Arising in Mathematical Modeling of Biomedical Processes” was held at the Institute of Information and Computational Technologies of the Committee of Science of the Ministry of Science and Higher Education. The workshop was led by the General Director of IICT, Professor, Doctor of Physical and Mathematical Sciences M.A. Bektemessov.
The workshop was attended by Sergey Igorevich Kabanikhin, Corresponding Member of the Russian Academy of Sciences , Professor, Doctor of Physical and Mathematical Sciences, a renowned specialist in computational mathematics and numerical methods for solving inverse and ill-posed problems of mathematical physics. He serves as Chief Researcher at the S.L. Sobolev Institute of Mathematics (SB RAS) and IICT, Head of the Department of Mathematical Methods of Geophysics at the Faculty of Mechanics and Mathematics of Novosibirsk State University. He is the author of the textbook “Inverse and Ill-Posed Problems” and seven monographs, three of which have been published internationally. He also serves as Editor-in-Chief of the journals Journal of Inverse and Ill-Posed Problems (IP=1.1) and Journal of Applied and Industrial Mathematics, and a member of the editorial boards of the Siberian Journal of Computational Mathematics, Open Applied Mathematics Journal, and Numerical Functional Analysis and Optimization.
Professor M.A. Shishlenin, Doctor of Physical and Mathematical Sciences, from the Institute of Mathematics (SB RAS) and Leading Researcher at IICT, delivered a presentation titled “Development of Algorithms for the Numerical Solution of Inverse Problems Using Combined Optimization Methods Integrating Stochastic Approaches and Machine Learning Techniques.”
Together with the IICT research team — including Leading Researcher, Associate Professor, PhD S.E. Kassenov; Senior Researcher, Associate Professor, PhD Zh.M. Bektemesov; and Junior Researcher and PhD student U. Sotsialova — as well as domain experts, the participants discussed new results and emerging trends in the development of numerical methods for solving inverse problems and their practical applications.