Main / Факультеты и кафедры / Shaushenova Anargul Gimranovna
Shaushenova Anargul Gimranovna

Shaushenova Anargul Gimranovna

 

Candidate of Technical Sciences, Head of the Educational Program "Information Systems"

Office 2415, tel. +7 (7172) 38-43-23

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

Scientific direction

Mathematical modeling, artificial intelligence, computer vision, image recognition in video streams, intelligent information systems

Subjects taught

Systems modeling, computer and mathematical modeling in scientific research

Education

1995-1999    

West Kazakhstan University for the Humanities majoring in Mathematics and Computer Science.

2004- 2007 

Taraz State University, postgraduate course, specialty "Geoecology".

2010

Defense of the candidate's thesis on the topic "Theoretical assessment of hydro-meteorological regimes and the ecological state of industrial cities (on the example of Balkhash)" (scientific supervisors T. Omarbekuly, B.B. Bakirbayev).

Work experience

1999 – 2001

Pedagogical Lyceum at the Uralsk State Pedagogical University, mathematics teacher.

2002 – 2012

A.Yasavi International Kazakh-Turkish University, Senior Lecturer of the Department of Mathematics and Mathematical Modeling

2012 – 2019

Senior lecturer of the Department of Computer Science, Saken Seifullin Kazakh Agrotechnical University.

2019 - 2021

Senior lecturer of the Department of Information Systems, Saken Seifullin Kazakh Agrotechnical University.

2021 - 2025

Head of the Department of Information Systems, Saken Seifullin Kazakh Agrotechnical University.

2025

Head of the Educational Program Group “Information Systems”, S. Seifullin Kazakh Agrotechnical Research University

 

Awards and certificates of honor

Winner of the title "Best University Teacher-2025"

Participation in the implementation of research within the framework of the state order

2021-2023: Co-head of the scientific project of the Ministry of Education and Science of the Republic of Kazakhstan №AP09259657 "Research and development of an automated proctoring system for monitoring students' knowledge in distance learning".

2024-2026: Head of the scientific project of the Ministry of Education and Science of the Republic of Kazakhstan AP23486538 "Research and development of an image recognition system in video streams based on artificial intelligence"

International scientific internships

  • «Information and Communication. Machine Learning and Deep Learning», University of Agriculture in Krakow, Krakow, Poland, 2022.
  • «Data Analysis», University of Milan, Milan, Italy, 2023.
  • Python Data Analysis. Rice University. Coursera, 2025
  • Managing Machine Learning Projects. Duke University, Coursera, 2025

 

Publications

Author of more than 60 scientific papers. The most important in the areas presented:

  1. The Influence of the Proctoring System on the Results of Online Tests in the Conditions of Distance Learning. AD ALTA. Journal of Interdisciplinary Research. Vol. 11, issue 2.  https://doi.org/10.33543/1102 (Web of Science= Q3)
  2. The Study of Mathematical Models and Algorithms for Face Recognition in Images Using Python in Proctoring System. Computation 2022, 10, 136. https://doi.org/10.3390/computation10080136  (Scopus, 70 процентиль, CiteScore 2021= 3.3, SJR 2021=0.389, Web of Science= Q2)
  3. Implementation of machine learning models to determine the appropriate model for protein function prediction Eastern-European Journal of Enterprise Technologies Volume 5, Issue 4-19, 2022. P.42-49 DOI: 10.15587/1729-4061.2022.263270
  4. Research on the development of a proctoring system for conducting online exams in Kazakhstan. Computation 2023, 11(6), 120; https://doi.org/10.3390/computation11060120
  5. 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)
  6. 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)
  7. 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)