Professional experience Al-Farabi Kazakh National University
Acting Professor, Department of Artificial Intelligence and Big Data (2021 – 2025, Almaty)
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Designed and coordinated the Master’s program “7M06115 – Data Science.”
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Implemented industry-oriented tracks in AI, Machine Learning, and Data Engineering.
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Ensured compliance with accreditation and internal quality assurance standards.
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Served as leading researcher and PI in national R&D projects: AP19680345, AP23489127, AP19679142, AP26105051.
Institute of Information and Computational Technologies, Ministry of Science and Higher Education of Kazakhstan
Director, Branch “Information Technologies and Security” (2019 – 2021, Astana)
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Established and managed the new branch, overseeing registration and operations.
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Led Project AP05132020 on the development of intelligent information systems.
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Conducted analytical studies on international ICT practices in electoral processes.
AIU
Dean, Faculty of Information Technology and Engineering (2019 – 2021, Astana)
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Developed and licensed Bachelor’s, Master’s, and PhD programs.
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Built an internal quality assurance system and accreditation framework.
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Initiated dual education and partnerships with IT companies.
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Expert at the Bologna Process Center, editor of a scientific journal.
Institute of Information and Computational Technologies
Senior Researcher (2012 – 2023, Almaty)
Postgraduate Education Center “Gylym Ordasy”
Head of Center (2016 – 2017, Almaty)
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Coordinated joint Master’s and PhD programs between KazNU and research institutes.
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Supervised accreditation, curriculum design, and publication activities.
Abai Kazakh National Pedagogical University
Senior Lecturer, Department of Informatics and Applied Mathematics (2007 – 2012, Almaty)
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Delivered courses in programming, algorithms, and data analysis.
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Developed teaching materials and supervised undergraduate projects.
Republican Medical College
Head of Testing Center, Informatics Lecturer (2003 – 2007, Almaty)
Secondary School No. 92
Computer Science Teacher (2002 – 2003, Almaty)
Taught informatics and participated in the digitalization of school records
Education1998 - 2002 Almaty State University named after Abay. Informatics.
2003 - 2005 Kazakh National Pedagogical University named after Abai. Master of Applied Mathematics and Computer Science.
2013 - 2016 International Information Technologies University. PhD in "6D070300 – Information Systems".
Scientific interests
- AP19680345 (2025–2027), Leading Researcher. Focus: Threat models, methods, and algorithms for identifying network-layer attacks on WSNs; design and verification of detection algorithms; preparation of publications and project reports.
- AP23489127 (2024–2026), Leading Researcher. Focus: Improving the security of IIoT cyber-physical systems using edge computing; development of prototypes, testing on testbeds, joint publications.
- AP19679142 (2023–2025), Leading Researcher. Focus: Optimization methods in Bayesian networks with linear constraints and functionals; development of algorithms and software implementations, experimental evaluation, and preparation of articles for indexed journals.
- AP26105051 (2025-2027), Project Manager Optimization of Distribution Network Reliability through the Implementation of an Integrated Intelligent Control System
Publications
- Zhukabayeva, T.; Ahmad, Z.; Adamova, A.; Karabayev, N.; Abdildayeva, A. An Edge-Computing-Based Integrated Framework for Network Traffic Analysis and Intrusion Detection to Enhance Cyber–Physical System Security in Industrial IoT. Sensors 2025, 25, 2395. https://doi.org/10.3390/s25082395
- Sarsembayeva, T.; Mansurova, M.; Abdildayeva, A.; Serebryakov, S. Enhancing U-Net Segmentation Accuracy Through Comprehensive Data Preprocessing. J. Imaging 2025, 11, 50. https://doi.org/10.3390/jimaging11020050
- Yerkebulan, A., Mansurova, M., Abdildayeva, A., Sharip, O. (2025). Research on the Application of Large Language Models (LLM) for Improving Recruitment Efficiency and Accuracy. In: Nguyen, N.T., et al. Intelligent Information and Database Systems. ACIIDS 2025. Lecture Notes in Computer Science(), vol 15683. Springer, Singapore. https://doi.org/10.1007/978-981-96-6008-7_24
- Assem Shayakhmetova, Nurbolat Tasbolatuly, Ardak Akhmetova, Assel Abdildayeva, Gulbanu Mirzakhmedova, The propagation in Bayesian networks with complex topology \ International Journal of Innovative Research and Scientific Studies: Vol. 8 No. 4 (2025)
- Assem Shayakhmetova, Nurbolat Tasbolatuly, Ardak Akhmetova, Marat Shurenov, Aziza Nagibayeva, Applications of the Bayesian method for predicting equipment failures \ International Journal of Innovative Research and Scientific Studies: Vol. 8 No. 5 (2025)
- Zhukabayeva, T., Adamova, A., Abdildayeva, A., & Karabayev, N. \ Evaluating an analytical model of cyberattack effects on an iiot system with edge computing capabilities. scientific journal of astana it university, 22, 163–173. (2025). https://doi.org/10.37943/22DOKU3034
- М. Г. Абибулла; А. А. Абдилдаева Mетоды повышения эффективности динамического бюджетирования и прогнозирования в интернет-торговле \ Bulletin of Toraighyrov University. Physics & Mathematics series, 2025 DOI: 10.48081/EJFE9652
- Скаков М.К., Исламгожаев Т.У., Абдилдаева А.А. Hабор данных изображений для обнаружения и классификации военной техники (НДОКВТ). Вестник Казахстанско-Британского технического университета. 2025;22(1):74-83. https://doi.org/10.55452/1998-6688-2025-22-1-74-83
- Taganova G., Tussupov J., Abdildayeva A., Mamatayeva, D., Tolganbayeva Methods of short term electricity demand forecasting \ Journal of Theoretical and Applied Information Technology, 2022, 100(14), pp. 5292–5299
- Kunelbayev M., Abdildayeva A.,Guldana T., Laura, D., Aiman Experimental Testing and Numerical Simulation of a Single-Circuit Solar Water Heater with a Thermosiphon \ WSEAS Transactions on Environment and Development, 2022, 18, pp. 894–898
- Kunelbayev M., Abdildayeva A.,Guldana T. Using machine learning algorithms to detect anomalies in the solar heating system \ International Journal of Mechanics, 2021, 15, pp. 270–275
- Abdildayeva A., Nurtugan, G., Taganova, G., Akhmetova, A. Stock Closing Price Forecasting Using LSTM, Sentiment Analysis, Kalman Filter \ Journal of Computer Science, 2024, 20(11), pp. 1388–1396
- Zhukabayeva, T. , Zholshiyeva, L., Ven-Tsen, K., Abdildayeva A., Baumuratova, D. Towards robust security in WSN: a comprehensive analytical review and future research directions \ Indonesian Journal of Electrical Engineering and Computer Science, 2024, 36(1), pp. 318–337
- Kalimoldayev, M.N., Abdildayeva A., Shermantayeva, Z.U. Implementation of a Database on Solar Resources for the Design of PV Solar Technologies \ Book Chapter, Advances in Science, Technology and Innovation, 2024, Part F2356, pp. 153–156
- Maksat, Kalimoldayev, Kalipa Kuspanova, Kulyash Baisalbayeva, Orken Mamyrbayev, Assel Abdildayeva Numerical simulation of two-phase filtration in the near well bore zone // Open Engineering, 2018.
- Kalimoldayev, M., Akhmetzhanov, M., Abdildayeva, A., Galiyeva, F. Mathematical and computer modeling of the stability of complex electric power systems // CEUR Workshop Proceedings, 2017.
- M.N.Kalimoldayev, A.A. Abdildayeva, O.Zh.Mamyrbayev, M.A.Akhmetzhanov Information system based on the mathematical model of the EPS // Open Engineering. Volume 6, Issue 1, ISSN (Online) 2391-5439, DOI: 10.1515/eng-2016-0053, November 2016. Р. 464–469
- Kalimoldayev M., Drozdenko A., Koplyk I., Marinich T., A. Abdildayeva, Zhukabayeva T. Analysis of modern approaches for the prediction of electric energy consumption \ Open Engineering, 2020. - Vol. 10. – Р. 350-361.
- M. Kalimoldayev, A.Abdildayeva, T. Zhukabayeva, S.Turaev The investigation of the In-ternet of Things (IoT) in electric power systems \ News of the National academy of sciences of the republic of Kazakhstan series of geology and technical sciences. - 2019. – Vol. 5(437). – P. 144-150.
- Kalimoldayev М.N., A.Abdildayeva, Akhmetzhanov M.A., Galiyeva F.M. Mathematical modeling of the problem of optimal control of electric power systems \ Известия НАН РК. Серия физ.-мат. - 2018. - №5(321). – С.62-67.
Disciplines taught
The discipline is devoted to studying the principles of working with big data in telecommunication systems. Methods of collecting, storing, processing and analyzing traffic, algorithms for detecting anomalies and forecasting the load are considered. Particular attention is paid to the use of Big Data technologies to optimize network processes, increase the throughput, reliability and adaptability of information transmission systems.
The purpose of the discipline is to train specialists who are able to assess the impact of big data technologies on the activities of large enterprises. As a result of the training, the student will be able to offer options for the effective use of big data technologies in enterprise management, perform analysis and processing of big data in real time, as they arrive.
The purpose of the discipline is to develop scientific thinking skills focused on the constant use of PCs and special application software packages, to develop practical skills in working with modern computer technologies that implement mathematical modeling, information collection and processing, preparation and execution of documents, presentation of materials in information networks.
Opening lessons
