Department of Physics, Mathematics and Digital Technology

Education

• 2011-2015 Kostanay State University named after A.Baitursynov, specialty Computer Science.
• 2016-2018 Kostanay State University named after A. Baitursynov, Master's degree in Computer Science.
• 2016-2018 Saint Petersburg National Research University of Information Technologies, Mechanics and Optics, Master's degree in Speech Information Systems.

Disciplines taught

• Python Programming
• Machine Learning
• Digital Image Processing
• Matlab Modeling
• Cloud technologies
• Information and communication technologies (ICT)

Work experience

• 2018 - present lecturer of Kostanay Regional University named after A. Baitursynov.
• 2018 Deputy Director for Information Technologies at KSU Specialized Boarding School of Information Technologies "Ozat".
• 2016 - 2017 laboratory engineer of Kostanay State University named after A.Baitursynov.
• 2015 - 2016 teacher at Kostanay Pedagogical College.

Certificates of professional development

• 2017 Course "Programming in Python" at Stepik.org (19 hours
• 2017 Course "Fundamentals of Statistics" on Stepik.org (8 hours
• 2019 Course "Implementation of intelligent accounting and monitoring systems". March 15 (72 hours)
• 2019 Certified course "1C: Enterprise Accounting 8 revision 2.0" Using configuration. April 1 (72 hours)
• 2019 Advanced training courses at the Federal State Budgetary Educational Institution of Higher Education "Novosibirsk State Technical University" under the program Effective Educational technologies: the practice of innovative learning. May 24 (72 hours)
• 2019 Certificate of completion of training on the following topics: conducting master classes, general pedagogical block, subject block for the course "Python". International Programming School for children "Algorithmics". August (24 hours)
• 2019 Training Completion Certification ‘Increase Research Efficiency via ScienceDirect and Scopus’. 15 October 2019
• 2020 Training at the seminar "Fundamentals of working in the Moodle distance learning system". April (36 hours)
• 2020 Training at the seminar "Fundamentals of designing a distance course in Moodle". April (72 hours)
• 2020 Advanced training courses under the program "Designing a test in the Moodle distance learning system". April (36 hours)
• 2021 Certificate of internship at SPbSETU "Leti" under the program "Development of an information and algorithmic model of an image recognition system based on sparse data using deep neural networks". March 2021 (72 hours)
• 2021 Researcher Academy Certificate of Excellence on the topic "Fundamentals of manuscript preparation". 10 November, 2021
• 2021 Researcher Academy Certificate of Completion on the topic "How to prepare your manuscript". 10 November, 2021
• 2021 Researcher Academy Certificate of Completion on the topic "Structuring your article correctly". 10 November, 2021
• 2021 Researcher Academy Certificate of Completion on the topic "How to write an abstract and improve your article". 10 November, 2021
• 2021 Certificate of internship at the Kazakh Agrotechnical University named after Sakenova Seifulina, according to the educational program "Informatics". December 08, 2021 (60 hours)
• 2021 Advanced training courses on the topic: Current problems of modern science and education. December 09 (72 hours)

Аctivities in the service sector

• Member of the jury of city and regional Olympiads, competitions of scientific projects of students in Computer science.
• November 2020, February-March 2021, he was accepted for temporary work as a developer of test tasks for the Republican state-owned enterprise "National Testing Center" of the Ministry of Education and Science of the Republic of Kazakhstan.
• Implementation of preparation of students for regional and republican Olympiads in the Regional scientific and practical Center "Kostanai daryny", in KSU Specialized boarding school of information technologies "Ozat".

Publications

• Zharlykasov B. J. Maulenov K. S. Pattern recognition for search and identification tasks. The science. informatization. Technologies. Education. - 2018. - pp. 538-543.
• Maulenov K.S., Muslimova A. Z., Alippaeva D. J. Possibilities of the express method of feature extraction based on the idea of a sparse representation by distributing random points. Bulletin of PSU, "Pedagogical series", No. 4. 2018
• Maulenov K.S., Muslimova A. Z., Berik S. B. Betti tanu men izdeu usin surettin sirek korsetiluine salystyrmaly analysis. Bulletin of PSU, "Pedagogical series", No. 4. 2018
• Zharlykasov B. J. Maulenov K. S. Methods of extraction of image features in order to search and recognize faces. New Information technologies in education and Science., - 2018. - pp. 114-117.
• Maulenov K. S. Comparative analysis of sparse image representation methods for face search and recognition tasks. Almanac of scientific works of young scientists of ITMO University. - 2018. - pp. 208-211.
• Maulenov K.S., Zharlykasov B.Zh., Chubarkova E.V. Sparse representation of images in recognition problems using the idea of the Monte Carlo method. Modern science: actual problems of theory and practice. Series: Natural and Technical Sciences - 2019. pp. 35-38.
• Maulenov K.S., Kudubaeva S.A. Monte Carlo adisi arkily bet beinelerin tanu maseleri. KazUTZU khabarshysy - No. 4. - 2020. - B. 151-155.
• Maulenov K.S., Kudubaeva S.A. Comparative analysis of the characteristics of existing systems of search and recognition of facial images. Bulletin of KazNITU. - 2020. - No. 4. - pp. 155-160
• Kukharev G.A., Maulenov K.S., Shchegoleva N.L. Protection of facial images from recognition in social networks: solutions and their prospects. Scientific and Technical Bulletin of Information Technologies, Mechanics and Optics - 2021. - pp. 755-766.
• Kukharev G.A., Maulenov K., Shchegoleva N.L. CAN I PROTECT MY FACE IMAGE FROM RECOGNITION? Proceedings of the 9th International Conference "Distributed Computing and Grid Technologies in Science and Education" (GRID'2021), Dubna, Russia, July 5-9, 2021
• Maulenov K.S., Kudubaeva S.A., Uvalieva A.A. Study of the method of searching for faces based on the idea of representing sparse data by generating random points. 2021 IEEE International Conference on Intelligent Information Systems and Technologies (SIST). 2021/4/28.
• Maulenov K., Kudubaeva S.A. Comparative analysis of face detectors HAAR, PIG, CNN. Izvestiya NAS RK. Series of physical and mathematical sciences. 2021/10/15. National Academy of Sciences of the Republic of Kazakhstan, 2021.

Development

• Kazieva N., Kukharev G.A., Maulenov K. Monte Carlo simulation program for human recognition tasks based on facial phenotype. – 2018.