V. Lakhno, a professor at the Department of SMART Technologies, published “LSTM Model for Cyber Threat Detection in Adaptive Networks” in the Scopus-indexed series Lecture Notes in Electrical Engineering (2026).The paper addresses cyber threat detection in adaptive networks using an LSTM neural network model.Author’s Scopus profile: https://www.scopus.com/authid/detail.uri?authorId=57680586200Read More
L. Zhumabayeva, a lecturer at the Department of SMART Technologies, published “MGNN-IDS: a multi-graph neural network approach for robust intrusion detection in the internet of things” in the Scopus-indexed journal Telecommunication Systems (2025).The paper proposes a multi-graph neural network approach for robust intrusion detection in the Internet of Things (IoT).Author’s Scopus profile: https://www.scopus.com/authid/detail.uri?authorId=57188572898Read More
S. Gnatyuk, a professor at the Department of SMART Technologies, published “FraudX AI: An Interpretable Machine Learning Framework for Credit Card Fraud Detection on Imbalanced Datasets” in the Scopus-indexed journal Computers (2025).The paper presents an interpretable machine learning framework for detecting credit card fraud on imbalanced datasets.Author’s Scopus profile: https://www.scopus.com/authid/detail.uri?authorId=36184129600Read More
B. Suleimenova, a lecturer at the Department of SMART Technologies, published “Early Detection of Aggressive Human Behavior in Video Streams Using Deep Spatiotemporal Models” in the Scopus-indexed journal Computers (2026).The paper addresses the early detection of aggressive human behaviour in video streams using deep spatiotemporal models.Author’s Scopus profile: https://www.scopus.com/authid/detail.uri?authorId=57212409290Read More
Students of the Faculty of Computer Science and Artificial Intelligence (AI School YU) contributed to the development of AlertX AI, a Kazakhstani cybersecurity platform.The platform has been certified under ST RK ISO/IEC 15408-3-2024 and meets Evaluation Assurance Level 4 (EAL 4). AlertX AI uses artificial intelligence to combine SIEM, SOAR, UEBA and Threat Intelligence technologies.It...Read More
Seven teams from Yessenov University competed in the ICPC (International Collegiate Programming Contest), one of the most prestigious international programming competitions for students.Our teams tackled complex algorithmic problems and demonstrated strong logical thinking and programming skills.Instagram: https://www.instagram.com/yu.edu01/reel/DfCIkxPsfdX/Read More
A lecture seminar for students was held at the university technopark. Topics included the role of artificial intelligence in society, the development of AI in Kazakhstan, national IT projects and Kazakh-language AI technologies.Students discussed how AI will shape the professions of the future and how to develop digital skills.Instagram: https://www.instagram.com/yu_computer_science/reel/DfFYwgoRMXn/Read More
