At the Kazakh National University named after al-Farabi will be held the defense of the scientific work for the degree of Doctor of Philosophy (PhD) Aksultan Mukhanbet on the theme: “Research and Development of Hybrid Quantum-Classical Algorithms for Pattern Recognition” under the educational program “8D06102 – Computer Engineering”.
The scientific work was carried out at the Department of Computer Science, Faculty of Information Technology and Artificial Intelligence, al-Farabi Kazakh National University.
Form of defense – dissertation work.
Language of defense – Kazakh.
Official Reviewers:
1.Bekmanova Gulmira Tyleuberdievna – PhD, Candidate of Technical Sciences, Associate Professor, L.N. Gumilyov Eurasian National University (Astana, Kazakhstan).
2.Merembayev Timur Zhumakanovich – PhD, RSE on REM “Institute of Information and Computational Technologies” (Almaty, Kazakhstan).
Scientific consultants:
1.Daribayev Beimbet Serikovich – PhD, Associate Professor, Al-Farabi Kazakh National University (Almaty, Kazakhstan).
2.Paulo Trigo – PhD, Adjunct Professor, Instituto Superior de Engenharia de Lisboa (Lisbon, Portugal).
Temporary members of the Dissertation Council:
1.Guanru Feng – PhD, SpinQ Technology Inc. (Shenzhen, China).
2.Yedilkhan Didar – PhD, Associate Professor, Astana IT University (Astana, 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 29, 2026, at 15:00 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-Artificial 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”.
Connect to the Zoom Conference:
https://zoom.us/j/96729353686?pwd=DyC5DEIpIsaD0ZiyKb5QZaIG9Yarz3.1
Conference ID: 967 2935 3686
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