7. Development of acve protecon methods to ensuring cyber security in the modern informaon environment
Author: Daukenov Nurdaulet Bakytzhanuly.
Supervisor: Tereykovsky Igor Anatolievich - Doctor of Technical Sciences, Professor of the National Technical University of Ukraine "KPI named after I. Sikorsky" (Kiev, Ukraine).
8. Using two-factor authencaon technology to ensure the safety and security of health insurance payments
Author: Ahmadi Atifa
Scientific Advisor: Shakirt Makilenov.
9. Artificial Intelligence in Cybersecurity: results for 2023 and forecast of changes in 2024-2025.
Author: Artur Georgievich Karapetyan, Yerbol Mirzhanovich Raimkulov
Supervisor: Shakilenov Shakirt Nurlubekuly Makilenov, M.Sc., Senior Lecturer of the Department of "Cyber Security" of the International University of Information Technologies.
19. Strengthening IoMT data security: Development and implementaon of soware for secure informaon transfer
Author: Mohammed Serikuly Nusupbekov, Nurzhan Nurbekovich Baksikov, Mohammed S. Nussupbekov, Daniyar Eduardovich Medyaev.
Scientific advisor: Shakilenov Shakirt Nurlubekuly Makilenov, Master of Technical Sciences, Senior Lecturer of the Department of "Cybersecurity", IITU.
20. The problem of data leakage and their solution.
Scientific supervisor: Tashenova Zhuldyz Musagulovna, acting senior lecturer of the department "Information Security", PhD ENU named after L. N. Gumilev Tashenova Zhuldyz Musagulovna.
Scientific adviser: Bektemysova Gulnara Umitkulovna, Candidate of Technical Sciences, Professor.
33. Use and influence of artificial intelligence in the development of scoring models of crediting.
Author: Balken Aruzhan Erlanqizi.
Supervisor: Kolesnikova K.V., Professor, Doctor of Technical Sciences.
34. Development of an enhanced model for recognition of Kazakh license plates based on a Convolutional Neural Network
Author: Kaskyrbaev Nurbek Zhalgasuly
Supervisor: Suleimenov Erkin, Candidate of Physical and Mathematical Sciences, Leading Researcher of the Institute of Information and Computing Technologies of the Ministry of Education and Science of the Republic of Kazakhstan.
35. Sentiment analysis in song lyrics for music mood detection