Batyr Sharimbayev is currently a Lecturer in the Information Systems Department at SDU University. Before taking on his current role as a Lecturer, he worked at SDU University as a Data Processing Expert, where he gained experience in data analysis, processing, and information systems. He is currently pursuing a PhD in Computer Science. His research interests include Machine Learning, Natural Language Processing, Artificial Intelligence, data analytics, and related areas of computer science. His academic and professional work focuses on applying modern computational and data-driven methods to practical and research problems.

Ph.D., Computer Science, In Progress (2025 to Present), SDU University, Kazakhstan
M.Sc., Mathematics & Statistics, 2025, SDU University, Kazakhstan
B.Sc., Mathematical & Computer Modeling, 2023, SDU University, Kazakhstan

Associate AI Engineer for Developers, DataCamp, 2026
Associate Python Developer, DataCamp, 2026
SQL Fundamentals, DataCamp, 2026
Introduction to Software Engineering, IBM, 2025
English Proficiency Certificate B2, Duolingo, 2025
Machine Learning Specialization, DeepLearning.AI, 2024
Mathematics for Machine Learning and Data Science Specialization, DeepLearning.AI, 2024
Data Engineer in Python, DataCamp, 2024

SDS 311, Undergraduate, Data Wrangling, Analysis and Visualisation
SDS 105, Undergraduate, Algorithms and Programming 1
CSS 418, Undergraduate, Senior Year Project
INF 317, Undergraduate, Python for Data Analysis

“Advancing Machine-Generated Text Detection: A Comprehensive Evaluation of Transformer-Based Models.” (2026). Journal of Advances in Information Technology, Vol. 17, pp. 1321–1330. Co-author: Shirali Kadyrov.
“Testing the Limits: Evaluating AI Detectors’ Accuracy and the Impact of Obfuscation Techniques on AI-Generated Text.” (2026). Journal of Advances in Information Technology, Vol. 17, pp. 438–449. Co-authors: Alfira Makhmutova, Altynbek Amirzhanov, Ardak Shalkarbay-uly.
“Artificial Intelligence and Teacher Competence: A Scoping Review of Assessment, Analytics, and Professional Development.” (2026). Frontiers in Artificial Intelligence, Vol. 9, Article 1901449. Co-authors: N. Baizhanov, Z. Churbanova, A. Khaidarova, L. Shinetova.
“Development and Optimization of Physics-Informed Neural Networks for Solving Partial Differential Equations.” (2025). Journal of Emerging Technologies and Computing, Vol. 1. Co-authors: Shirali Kadyrov, Aleksei Kavokin.

“AI-Generated Text Detection Methods: A Review.” (2026). 18th International Conference on Electronics, Computer, and Computation (ICECCO), IEEE. Co-authors: Cemil Turan, Aiken Kazin.
“Cross-Lingual Detection of Machine-Generated Text Using Multilingual Transformers and Balanced Data.” (2026). 18th International Conference on Electronics, Computer, and Computation (ICECCO), IEEE. Co-author: Symbat Duisen.
“Personalized Federated Learning for Sovereign Personal AI Agents: A Review.” (2026). 18th International Conference on Electronics, Computer, and Computation (ICECCO), IEEE. Co-authors: Adil Akhmetov, Mohammed Alaa Ala’anzy.
“Multi-Class Detection of Humanized AI Text Using Machine Learning and Transformer Models.” (2025). International Conference on Computational Intelligence and Knowledge Economy (ICCIKE), IEEE, pp. 127–131. Co-authors: Aiken Kazin, Shirali Kadyrov.
“Text Classification for AI Generated Content with Machine Learning and Deep Learning Models.” (2025). IEEE 5th International Conference on Smart Information Systems and Technologies (SIST), IEEE, pp. 1–5. Co-author: Shirali Kadyrov.
“Automatic Language Identification from Audio Signals Using LSTM-RNN.” (2023). 17th International Conference on Electronics, Computer, and Computation (ICECCO), IEEE, pp. 1–5. Co-author: Shirali Kadyrov.

Natural Language Processing, Machine Learning, Data Science, Computer Science