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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) Nurakhov Yedil on the theme: “Development of methods for forecasting quality indicators in 5G Standalone networks using machine learning” 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 – Russian.

Official Reviewers: 

1. Mohammad Shojafar – PhD, Associate Professor in Network Security, University of Surrey (Surrey, United Kingdom).

2. Nurbek Berkinbayevich Konyrbayev – PhD, Associate Professor, Head of Department, Korkyt Ata Kyzylorda University (Kyzylorda, Kazakhstan).

Scientific consultants: 

1. Darkhan Ahmed-Zaki – PhD, Doctor of Technical Sciences, Rector of M. Auezov South Kazakhstan Research University (Shymkent, Kazakhstan).

2. Minsoo Hahn – PhD in Electrical Engineering, Professor, Korea Advanced Institute of Science and Technology (Daejeon, Republic of Korea).

Temporary members of the Dissertation Council: 

1. Zarina Toleubekovna Khassenova – PhD, Lecturer, Department of Information Technologies and Telecommunications, D. Serikbayev East Kazakhstan Technical University (Ust-Kamenogorsk, Kazakhstan).

2. Tariq Ahamed – PhD, Associate Professor, Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University (Saudi Arabia).

3. Sergazi Sakenovich Narynov – Doctor of Technical Sciences, Leading Researcher, Institute of Information and Computational Technologies; (Almaty, Kazakhstan).

The defense will be held in a hybrid format on July 3, 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-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”.

Join the Zoom Conference:

Meeting ID: 833 4779 2229

Conclusion of the ethics commissions