At the Kazakh National University named after 91ý will be defended scientific work for the degree of Doctor of Philosophy (PhD) Suleimenova Madina Utegenovna on the theme: “Machine Learning in Predicting the Risk of Cardiovascular Disease Development” on the educational program “8D06114 Artificial Intelligence in Medicine”.
The scientific work was carried out at the Department of Artificial Intelligence and BIG DATA, Faculty of Information Technology and Artificial Intelligence, 91ý Kazakh National University.
Form of defense – dissertation work.
Defense language – Kazakh.
Official Reviewers:
1. Ainur Tanatarovna Akhmediyarova – Associate Professor, Candidate of Technical Sciences, Satbayev University (Almaty, Kazakhstan).
2. Dinara Zhenisbekovna Kaibassova – PhD, Astana IT University (Astana, Kazakhstan).
Scientific consultants:
1. A.S. Shomanov – PhD, Nazarbayev University (Astana, Kazakhstan).
2. Chen Siming (foreign scholar) – PhD, Associate Professor, Fudan University (Shanghai, China).
Temporary members of the Dissertation Council:
1. Lingyun Yu (foreign scholar) – PhD, Xi’an Jiaotong-Liverpool University (China).
2. Aida Muratovna Kondybayeva – PhD, Head of the Scientific and Educational Center of Neurology and Applied Neurosciences, Asfendiyarov Kazakh National Medical University (Almaty, Kazakhstan).
3. Alexander Pak – PhD, RSE on REM “Institute of Information and Computational Technologies” (Almaty, Kazakhstan).
The defense will be held in a hybrid format on May 22, 2026, 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-Аrtificial 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”.
Join the Zoom meeting:
Conference ID: 935 4673 6384