Researchers
Meet influential AI and ML researchers from Central Asia.
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Yerassyl Iskakov
Yerassyl Iskakov research profile
Information Systems, L. N. Gumilyov Eurasian National University
Information Technologies graduate and researcher. Published research in modeling, forecasting, and processing multidisciplinary area of AI. Open to collaboration on projects and research in machine learning and AI — the best way to reach me is by email.
Zhantore Galymzhan
Zhantore Galymzhan research profile
School of Engineering and Digital Sciences, Nazarbayev University
Researched on Kazakh NLP, open for NLP/RL collaborations
My research focuses on the interplay between machine learning, optimization, and mathematics. I develop algorithmic and computational methods for solving challenging problems in machine learning theory, discrete mathematics, and theoretical computer science. A recurring theme of my work is the use of large-scale optimization and high-performance computing as tools for scientific discovery. My contributions span machine learning theory, kernel methods, natural language processing, graph algorithms, combinatorial optimization, and high-dimensional geometry. In recent years, I have become particularly interested in computational approaches to mathematical research, where modern optimization techniques and GPU-based computation can uncover structures that are difficult to access through traditional analytical methods alone. More broadly, I aim to build bridges between theoretical foundations and practical computation, developing methods that are both mathematically rigorous and computationally effective.
Dimash Rakishev
Machine Learning Engineer and Researcher specializing in Computer Vision, OCR, and Applied AI
Astana IT University, Science and Innovation Center "Artificial Intelligence"
My research interests include computer vision, multimodal AI, medical image analysis, object detection, vision-language models, and interpretable machine learning. I am particularly interested in developing robust AI systems for real-world applications and healthcare.
Gani Esen
Deep Learning oriented reasercher working on a medical domain
International Information Technology University
Currently i am focused on CV based application on medical domain such as an early breast cancer detection.