Main / ППС / Nurpeisova Ardak Aldanyshovna
Nurpeisova Ardak Aldanyshovna

Nurpeisova Ardak Aldanyshovna

 

Doctor PhD, Acting Associate Professor of the GEP "Information Systems"

Room 2415, contact tel.: +7(7172)38-23-43

E-mail: a.nurpeisova@kazatu.edu.kz

 

Sphere of scientific interests

Analysis, modeling of information systems

Delivered disciplines

Computer and mathematical modeling in scientific research, methods of data analysis and processing, methods of scientific research

Education

1998-2003

Sh. Ualihanov Kokshetau State University, Department of Physics and Mathematics, specialty Mathematics and Physics

2003-2005

Sh. Ualihanov Kokshetau State University, Department of Physics and Mathematics, specialty Mathematics (Master)

2017-2020

Academy of Public Administration under the President of the Republic of Kazakhstan, specialty Economics (doctoral studies)

Work experience

2003-2006      

Teacher of Department Information Systems, A. Myrzahmetov Kokshetau University

2006-2013

Teacher of Department Mathematics and teaching methodology, Sh.Ualihanov Kokshetau State University

2013-2016     

Senior teacher of Department Technical disciplines, University Astana

2016-2022

Senior teacher of Department Information and Communication Technologies, S. Seifullin Kazakh Agro Technical University

2022

Senior teacher - Acting Associate Professor of the Educational Program "Information Systems", S. Seifullin Kazakh Agro Technical University

 

Awards and certificates of honor

Winner of the title "Best University Teacher-2025"

Advanced training courses

-Courses «Development of mathematical models to optimize the process of creating innovative products» S. Y. Witte Moscow University, 2019.

-Python. Course authorized by IBM and offered through Coursera, 2021

-SQL for Data Science. University California, Davis and Coursera, 2021

-Development of an innovative product. Moscow Institute of Physics and Technology. Coursera, 2021

-Python Data Analysis. Rice University. Coursera, 2025

-Managing Machine Learning Projects. Duke University, Coursera, 2025

Published works

         Author of more than 65 scientific works. The most important in the presented directions:

  1. The Study of Mathematical Models and Algorithms for Face Recognition in Images Using Python in Proctoring System. Computa-tion 2022, 10, 136. https://doi.org/10.3390/computation10080136 (Scopus, 70 процентиль, CiteScore 2022= 3.3, SJR 2022=0.386; Web of Sci-ence Q2, JCI 2022=0,7)
  2. Research on the development of a proc-toring system for conduct-ing online exams in Kazakhstan. Computa-tion 2023, 11(6), 120; https://doi.org/10.3390/computation11060120 (Scopus, 71 процентиль, CiteScore 2022= 3.3, SJR 2022=0.386; Web of Sci-ence Q2, JCI 2022=0,7)
  3. Deep Residual Learning for Face Anti-Spoofing: A Mathematical Framework for Optimized Skip Connections.  Тechnologies 2025, 13, 413.  https://doi.org/10.3390/technologies13090413 (Scopus, 88 процентиль, CiteScore 2022= 8.5, SJR 2022=0.880; Web of Science Q1, JCI 2024=1,03)
  4. Mathematical Modeling of Optimal Drone Flight  Trajectories for Enhanced Object Detection in Video Streams Using  Kolmogorov–Arnold Networks. Technologies 2025, 13, 235.  https://doi.org/10.3390/technologies13060235 (Scopus, 88 процентиль, CiteScore 2022= 8.5, SJR 2022=0.880; Web of Science Q1, JCI 2024=1,03)
  5. Еmplementation of  Kolmogorov–Arnold Networks for Efficient Image Processing in  Resource-Constrained Internet of Things Devices. Technologies 2025, 13, 155. https://doi.org/10.3390/technologies13040155    (Scopus, 88 процентиль, CiteScore 2022= 8.5, SJR 2022=0.880; Web of Science Q1, JCI 2024=1,03)