Main Teachers Sakypbekova Meruert

Sakypbekova Meruert


Head of the Department
The Department of «Software Engineering»

PhD

email: m.sakypbekova@metu.kz



Professional experience

Since 2025 Head of the Software Engineering Department, International Engineering and Technology University (IETU)

Since 2024 Member of the research team for the project ‘Development of a digital twin of a food industry enterprise using artificial intelligence and IIOT technologies’

Since 2024 Acting Associate Professor, Department of Artificial Intelligence and Big Data

Since 2020 Chair of the Trade Union Committee of the Faculty of Information Technologies

2023-2024 Acting Associate Professor, Department of Computer Science

2022-2023 Deputy Head of the Department of Computer Science for Academic, Methodological and Educational Work.

2019-2022 Deputy Head of the Department of Artificial Intelligence and Big Data for Scientific and Innovative Work and International Relations at Al-Farabi Kazakh National University.

2016-2019 KazNU named after Al-Farabi, Faculty of Mechanics and Mathematics, Senior Lecturer, Department of Informatics.

2015-2016 School No. 173 Lyceum. Mathematics teacher.

2013-2015 Al-Farabi Kazakh National University, Faculty of Mechanics and Mathematics. Senior Lecturer, Department of Informatics.

2005-2013 Abai KazNPU, Faculty of Physics and Mathematics, Almaty

Senior Lecturer, Department of Informatics and Applied Mathematics.

2001-2005. Senim Private School, Almaty. Mathematics teacher.

2000-2001. Danashym Private School, Almaty. Computer Science teacher.

Education

1989 - 1993 O. Zhautykov Republican Physics and Mathematics Boarding School. Schoolgirl.

1993 - 1997 Al-Farabi Kazakh National University, Bachelor`s Degree. 0102-Applied Mathematics, Specialist in Mathematics and Applied Mathematics.

2003 - 2005 Al-Farabi Kazakh National University, Master`s Degree. 541550-Information systems in business.

2016 - 2019 Al-Farabi Kazakh National University, Doctoral Programme. D075100 - Computer Science, Computing and Management.

Scientific interests

Since 2024 Member of the research team for the project ‘Development of a digital twin of a food industry enterprise using artificial intelligence and IIOT technologies’

  • Organization of high-performance and distributed computing. 
  • Software development.


Publications

  1. A. Issakhov, A. Abylkassymova, M. Sakypbekova. Applications of parallel computing technologies for modeling the mixed convection in backward-facing step flows with the vertical buoyancy forces. «Известия НАН РК. Серия физико-математическая», №4(320), июль – август 2018 г. (Thomson Reuters & Scopus)
  2. Issakhov, A., Zhandaulet, Y., Abylkassyomova, A., Sakypbekova, M., & Issakhov, A. (2021). Mixed convection in a channel with buoyancy force over backward and forward facing steps: The effects of inclination and geometry. Case Studies in Thermal Engineering, 26, 101152. doi:10.1016/j.csite.2021.101152 (Q1, 2021 Impact Factor 6.268, SJR=0.898, процентиль 86)
  3. A. Issakhov, A. Abylkassymova, M. Sakypbekova. Applications of Parallel Computing Technologies for Modeling the Flow Separation Process behind the Backward Facing Step Channel with the Buoyancy Forces. Computational and Information Technologies in Science, Engineering and Education, GERMANY 2019 г., Volume 998, pp. 97- 1137 https://link.springer.com/chapter/10.1007/978-3-030-12203-4_10 (Scopus)
  4. Tepliakova, I.V.Nitsuk, Y.A.Brytavskyi, I.V.Kociubiński, A.Sakypbekova, M. Photoluminescence properties of ZnSe:Al, ZnSe:Cu nanoparticles obtained by chemical synthesis. Proceedings of SPIE - The International Society for Optical EngineeringТом 111762019 Номер статьи 111764MPhotonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019Wilga26 May 2019 до 2 June 2019Код 154662 (Scopus)
  5. Tursynova, A. T., Omarov, B. S., Postolache, O. A., & Sakypbekova, M. Z. (2021). Convolutional deep learning neural network for stroke image recognition. Journal of Mathematics, Mechanics and Computer Science, 112(4). P. 109 – 115. (Scopus) https://doi.org/10.26577/JMMCS.2021.v112.i4.09
  6. Issakhov, A., Zhandaulet, Y., Abylkassyomova, A., Sakypbekova, M., & Issakhov, A. (2021). Mixed convection in a channel with buoyancy force over backward and forward facing steps: The effects of inclination and geometry. Case Studies in Thermal Engineering26, 101152. https://doi.org/10.1016/j.csite.2021.101152
  7. Omarov, B.Saparkhojayev, N.Shekerbekova, S., M. SakypbekovaTukenova, L.Akanova, Z. (2022). Artificial Intelligence in Medicine: Real Time Electronic Stethoscope for Heart Diseases Detection. Computers, Materials & Continua70(2), P. 2815 - 2833 (Scopus) https://doi.org/10.32604/cmc.2022.019246
  8. Tyulepberdinova, G., Kunelbayev, M., Shiryayeva, O., Sakypbekova, M., Sarsenbayev, N., Bayandina, G. Development of a digital twin of a network of heating systems for smart cities on the example of the city of Almaty. International Journal of Electrical and Computer Engineering 2024. http://doi.org/10.11591/ijece.v14i6.pp6656-6674  (Scopus)
  9. Tyulepberdinova, G., Sakypbekova, M., Kunelbayev, M., & Amirkhanova, G. (2025, August). Development of a Stress Monitoring System. In 2025 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) (pp. 1-8). IEEE. https://doi.org/10.1109/ACDSA65407.2025.11166131
  10. Tyulepberdinova, G., Kunelbayev, M., Amirkhanova, G., Sakypbekova, M., Adilzhanova, S., & Tolepberdinova, A. (2025). Development of a Smart Lung Health Monitoring System Using Sensors and Data Analytics for Early Disease Detection. Journal of Applied Data Sciences6(4), 2332-2350. https://doi.org/10.47738/jads.v6i4.857

 

- Journals recommended by the Committee for Quality Assurance in the Field of Science and Higher Education of the Ministry of Science and Higher Education of the Republic of Kazakhstan

  1. Sakypbekova M.Zh. Numerical and computer solution of an elliptic-type equation. Bulletin of KazNITU, Kazakhstan, recommended by the Committee for Control in the Sphere of Education and Science of the Ministry of Education and Science of the Republic of Kazakhstan, 2017, No. 3.
  2. Issakhov A.A., Abylkassymova A.B., Sakypbekova M.Zh. Application of parallel computing technologies for modeling flow separation behind a backward-facing step in a channel considering buoyancy forces. Bulletin of Al-Farabi KazNU. Series: Mathematics, Mechanics, Informatics, No. 1(97), 2018, pp. 143–158.
  3. Issakhov A., Abylkassymova A., Sakypbekova M. Applications of parallel computing technologies for modeling mixed convection in backward-facing step flows with vertical buoyancy forces. International Journal of Mathematics and Physics, Kazakhstan, recommended by the Committee for Control in the Sphere of Education and Science of the Ministry of Education and Science of the Republic of Kazakhstan, Vol. 8, No. 2, 2017, pp. 43–53.
  4. Issakhov A., Abylkassymova A., Sakypbekova M. Applications of parallel computing technologies for modeling wind flow around architectural obstacles with vertical buoyancy forces. Proceedings of the National Academy of Sciences of the Republic of Kazakhstan. Physical and Mathematical Series, No. 4(320), July–August 2018, pp. 48–57.
  5. Sakypbekova M.Zh. Numerical solution of fundamental hydrodynamic equations in two-dimensional flow modeling. Bulletin of KazNITU, Kazakhstan, recommended by the Committee for Control in the Sphere of Education and Science of the Ministry of Education and Science of the Republic of Kazakhstan, 2018, No. 3, pp. 482–486.
  6. Toyganbayeva N.A., Gaziz G.G., Tyulepberdinova G.A., Adilzhanova S.A., Sakypbekova M.Zh. Methodological and resource foundations for the use of portals in the education system. Bulletin of KazNITU, No. 6(136), 2019, pp. 138–142.
  7. Adilzhanova S.A., Tyulepberdinova G.A., Sakypbekova M.Zh., Tekesbayeva N.A. Analysis of mathematical methods of multicriteria optimization and dynamic management of cybersecurity resources of informatization objects. Bulletin of Abai KazNPU. Series: Physical and Mathematical Sciences, No. 4(72), 2020, pp. 144–148.
    https://doi.org/10.51889/2020-4.1728-7901.25
  8. Adilzhanova S.A., Gaziz G.G., Tyulepberdinova G.A., Toyganbayeva N.A., Sakypbekova M.Zh. Assessment of the level of use of modern information technologies in society. Bulletin of KazNITU. Series: Technical Sciences, Kazakhstan, recommended by the Committee for Control in the Sphere of Education and Science of the Ministry of Education and Science of the Republic of Kazakhstan, No. 3(139), 2020, pp. 215–220.
    https://vestnik.satbayev.university/index.php/journal/issue/view/61/58
  9. Adilzhanova S.A., Gaziz G.G., Sakypbekova M.Zh., Tyulepberdinova G.A. Analysis of mathematical methods for dynamic management of cybersecurity resources of informatization objects. Bulletin of KazNITU. Series: Technical Sciences, Kazakhstan, recommended by the Committee for Control in the Sphere of Education and Science of the Ministry of Education and Science of the Republic of Kazakhstan, No. 3(139), 2020, pp. 102–105.
    https://vestnik.satbayev.university/index.php/journal/issue/view/61/58
  10. Sakypbekova M.Zh. Development of efficient high-performance computing for solving the Poisson equation. Bulletin of L.N. Gumilyov Eurasian National University. Series: Technical Sciences and Technologies, Kazakhstan, recommended by the Committee for Control in the Sphere of Education and Science of the Ministry of Education and Science of the Republic of Kazakhstan, No. 2(139), 2022, pp. 24–29.
    https://doi.org/10.32523/2616-7263-2022-139-2-143-151
  11. Toyganbayeva N., Alimova A., Sakypbekova M., Gusmanova F., Abdimanap G. Recognition of Kazakh–Russian handwritten texts based on neural networks. Bulletin of Abai KazNPU. Series: Physical and Mathematical Sciences, Vol. 84, No. 4, 2023, pp. 183–191.
    https://doi.org/10.51889/2959-5894.2023.84.4.018
  12. Sakypbekova M.Zh., Cherikbayeva L.Sh., Adilzhanova S.A., Gusmanova F.R., Toyganbayeva N.A. High-performance computing for solutions of circulation incompressible viscous flows in a cavity. Bulletin of Abai KazNPU, Kazakhstan, 2024, No. 1(85), pp. 41–50. https://doi.org/10.51889/2959-5894.2024.85.1.004
  13. Sakypbekova M.Zh., Cherikbayeva L.Sh., Adilzhanova S.A. Conceptual design of a decision support system for the problem of resource allocation of information protection on informatization objects. Bulletin of the National Engineering Academy of the Republic of Kazakhstan, 2024, No. 1(91), pp. 11–20.
    https://doi.org/10.47533/2024.1606-146X.01
  14. Alimbayeva B.K., Sakypbekova M.Zh., Sagimbayeva L.A., Gaziz G.G., Moshkalov A.K. Modeling of nonreciprocal devices based on elastic metamaterials. Bulletin of Abai KazNPU. Series: Physical and Mathematical Sciences, No. 1(89), 2025, pp. 7–19.
    https://doi.org/10.51889/2959-5894.2025.89.1.001
  15. Bazarbek Zh.P., Toyganbayeva N.A., Mansurova M.E., Sarsembayeva T.S., Sakypbekova M.Zh. Development of a dataset for creating a large language model (LLM) for the Kazakh language. Academic Scientific Journal of Computer Science, Vol. 3, No. 355, 2025, pp. 78–92. https://doi.org/10.32014/2025.2518-1726.365
  16. Bostanbekov K., Nurseitov D.B., Sakypbekova M.Zh., Shekerbayeva Sh.N., Shaia I. Thematic studies on data collection and processing for human detection in urban transport. Bulletin of Abai KazNPU. Series: Physical and Mathematical Sciences, Vol. 91, No. 3, 2025, pp. 192–202. https://doi.org/10.51889/2959-5894.2025.91.3.017
  17. Toyganbayeva N.A., Alimova A.N., Abdimanap G.S., Sakypbekova M.Zh., Gusmanova F.R. Recognition of Kazakh–Russian handwritten texts based on neural networks. Bulletin of Abai KazNPU. Series: Physical and Mathematical Sciences, Vol. 84, No. 4, 2023, pp. 183–191.

- textbooks and teaching aids

  1. Gusmanova F.R., Sakypbekova M., Abdildaeva A.A.  Optimization methods. Almaty: Abai KazPU, 2009, 108.
  2. Urmashev B. A., Altybay A., Gusmanova F. R. Sakypbekova M. Zh. basics of information technology. Textbooks. Nur print, Kazakhstan, 2015, 12.5, 978-601-04-0979-8
  3. Urmashev B. A., Tyulepberdinova G. A., Altybai A., Gusmanova F. R., Gaziz G. G., Sakypbekova M. Zh. Information and communication technologies. Textbook. "Kazakh University", Kazakhstan, 2017, 380, 978-601-04-2230-8.
  4. Sakypbekova M.Zh., Omarova P.T., Nakibayeva M.T. Fundamentals of Parallel Programming in the MPI Environment. Textbook. Almaty: Daryn Publishing House, 2025, 78 p

 

- patent

  1. Bespalov D.E., Kaliyeva K.A., Darkenbayeva E.B., Kaliyev A.K., Li C., Xuelin W., Amirkhanova G.A., Tyulepberdinova G.A., Sakypbekova M.Zh., Adilzhanova S.A., Yumei C., Li C., Amirkhanov B.S., Kentbayev E.Zh., Kentbayeva B.A., Shynybay Zh.S., Bespalov D.E., Aktayev E.T. Adaptive Asynchronous Electric Drive System. Patent No. 10487. Published on April 25, 2025.

- copyright Certificates

  1. Oralbekova Zh.O., Tyulepberdinova G.A., Syzdykova A.M., Sakypbekova M.Zh., Duisembayeva L.S. Software Implementation of a Linear Gradient Generator. Certificate of State Registration of Rights to a Copyright Object No. 17776, dated May 20, 2021.
  2. Sakypbekova M.Zh., Issakhov A.A. Development of an Efficient High-Performance Computing Method for the Problem of Incompressible Viscous Flow Behind a Backward-Facing Step. Certificate of State Registration of Rights to a Copyright Object No. 25762, dated May 4, 2022.
Disciplines taught


Introduction to Specialty

The purpose of the discipline is to form students'' basic understanding of the development of engineering and technology, scientific achievements in accordance with the chosen educational program. The discipline gives students a systematic understanding of the current state and trends in the development of the food, processing, industry, agricultural and industrial complex, including the possibilities of new information and communication technologies. As a result of studying the discipline, the student will receive theoretical and practical skills in the organization of the task, as well as the formulation and solution of highly motivated non-standard professional tasks, problems and compliance with the ethics of professional activity. The student can use the acquired knowledge in the future when studying specialized disciplines, practical activities.

Programming I (Python)

The purpose of the course is to introduce the fundamentals of programming using Python. Topics include variables, data types, conditional statements, loops, functions, and basic algorithms. Upon completion, students develop programming skills, algorithmic thinking, and the ability to solve practical problems using Python.

Timetable of classes

Opening lessons