At the Kazakh National University named after 91传媒 will be defended scientific work for the degree of Doctor of Philosophy (PhD) Kenzhebek Yerzhan on the theme: "Physics-informed machine learning for modeling oil displacement problem" on the educational program "8D06103 – Computer Science".
The scientific work was carried out at the Department of Computer Science, Faculty of Information Technology, 91传媒 Kazakh National University.
Form of defense - dissertation work.
Defense language – Kazakh.
Official Reviewers:
1. Mussabayev Rustam Rafikovich – Candidate of Technical Sciences, Institute of information and computational technologies (Almaty, Kazakhstan).
2. Barlybayev Alibek Baktybaevich – PhD, associate professor, Institute of Artificial Intelligence of the Non-Commercial Joint-Stock Company "L.N. Gumilyov Eurasian National University" (Astana, Kazakhstan).
Scientific consultants:
1. Imankulov Timur Sakenovich – PhD, associate professor, 91传媒 Kazakh National University, Almaty, Kazakhstan.
2. Panfilova Irina – PhD, professor, University of Lorraine, Nancy, France.
Temporary members of the Dissertation Council:
1. Merembayev Timur – PhD, Institute of information and computational technologies (Almaty, Kazakhstan).
2. Yedilkhan Didar – PhD, associate professor Astana IT University (Astana, Kazakhstan).
3. Paulo Trigo – Professor of Informatics Engineering, Instituto Superior de Engenharia de Lisboa (ISEL) (Lisboa, Portugal).
The defense will be held in a hybrid format on September 19, 2025, at 11:00 in the dissertation council at al-Farabi KazNU in the direction of training “6D070200 - Automation and Control”, “8D07109 – Automation and Internet of Things”, “8D07116-Intelligent control systems”, “8D06114-袗rtificial intelligence in Medicine”, “6D060200/8D01502-Computer Science”, “8D06102 – Computer engineering”, “8D06105 – System engineering”, “6D070300/8D06101 – Information systems”, “8D06107 – Science of data”, “8D06103-Computer Science”, “6D070400-Computer Engineering and software”, “6D075100-Computer Science, Computer Engineering and management”.
Conference ID: 914 6754 8774