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From April 3 to April 7, 2026, the First Congress of Mathematicians of Kazakhstan was held in Shymkent at a high organizational level, becoming an important platform for the country’s scientific community. Faculty members, master’s students, and undergraduate students of the Faculty of Mechanics and Mathematics, Department of Computational Science and Statistics at 91��ý Kazakh National University actively participated in the congress and presented their scientific achievements.
This large-scale scientific event covered key areas of modern mathematics, computational science, data analysis, and artificial intelligence, providing an opportunity for knowledge exchange between domestic and international researchers. During the congress, participants not only became familiar with new scientific results but also discussed their research in a professional environment and received valuable feedback.
Within the framework of the congress, representatives of the department delivered presentations in the following scientific sections:
“Computational and Information Technologies in Science, Engineering, and Education (CITECH-2026)”
“Scientific Artificial Intelligence: Mathematical Methods and Industrial Applications”
“Fundamental Problems of Theoretical and Applied Mechanics”
The research presented in these sections focused on modeling complex physical and engineering processes using computational methods, analyzing large-scale data, and applying machine learning algorithms to real-world problems. Particular attention was given to modeling the dispersion of atmospheric pollutants, numerical investigation of hydrodynamic processes, and forecasting methods based on artificial intelligence.
Master’s students and undergraduate students successfully defended their research projects at a high level, and their results were positively evaluated by the scientific community. The scientific validity of the applied methods, the accuracy of computations, and the practical significance of the results were especially emphasized during the presentations.
This scientific trip was not only an opportunity to present research findings but also an important experience for professional development, expanding scientific perspectives, and identifying new research directions. During the congress, students established direct connections with leading scientists and gained ideas for future research projects.
Moreover, participation in such international scientific events contributes to the development of research culture among young scientists, enhancing their skills in academic writing, research presentation, and scientific discussion.
SDG 4 – Quality Education
Participation in the congress enabled students to master modern scientific methods and integrate theoretical knowledge with practical application, contributing to the development of their academic and research skills.
SDG 9 – Industry, Innovation and Infrastructure
The application of computational technologies and artificial intelligence methods provided innovative approaches to solving engineering and scientific problems.
SDG 13 – Climate Action
Research on atmospheric modeling and environmental forecasting contributes to a better understanding of ecological challenges and supports the development of solutions to address them.