Mussabayev Ravil Rafikovich
Ph.D.
Associate Professor
Institute of Automation and Information Technologies
Department of Software Engineering
Email: r.mussabayev@satbayev.111
Professional biography
Associate Professor and Scientific Supervisor — Satbayev University, Almaty, Kazakhstan, 2024–present. Grant: AP26197157 “Computational Methods for Multimodal Optimization in Complex Systems” (2025–2027).
Data Scientist — Sber AI Lab, Center for Practical AI, Sberbank of Russia, Moscow, Russia, 2025–2026.
Research Scientist — Satbayev University, Almaty, Kazakhstan, 2023–2025. Grant: BR21882268 “Automated Construction of a Multilingual Ontology for Empowering the Kazakh Language Through Advanced AI Technologies”.
Research Engineer — Huawei, Moscow, Russia, 2022–2024.
Teaching Assistant and Predoctoral Instructor — University of Washington, Seattle, WA, USA, 2018–2022.
Research Engineer — Satbayev University, Almaty, Kazakhstan, 2018. Grant: BR05236316 “Development of the Software Package for 3D Modelling, Continual Monitoring and Forecasting of the Level of Air Pollution in Densely Populated and Industrial Areas”.
Teaching Assistant — Kazakh-British Technical University, Almaty, Kazakhstan, 2017.
Software Engineer — Uniline Group LLP, Almaty, Kazakhstan, 2015–2017.
Education
PhD in Mathematics — University of Washington, Seattle, WA, USA, 2018–2024. Degree: Doctor of Philosophy, PhD.
MSc in Mathematics — University of Washington, Seattle, WA, USA, 2018–2021. Program: 7M05401 — Mathematics. Degree: Master of Science.
BSc in Mathematical and Computer Modeling — Kazakh-British Technical University, Almaty, Kazakhstan, 2015–2018. Program: 5B070500 — Mathematical and Computer Modeling.
Scientific projects
Grant: AP26197157 “Computational Methods for Multimodal Optimization in Complex Systems” (2025–2027)Publications
1. Ravil Mussabayev and Rustam Mussabayev. «Comparative Analysis of Optimization Strategies for K-means Clustering in Big Data Contexts: A Review». In: Applied Soft Computing (2024). Preprint submitted to “Applied Soft Computing”. arXiv: 2310.09819 [cs.LG].
2. Ravil Mussabayev and Rustam Mussabayev. «High-Performance Hybrid Algorithm for Minimum Sum-of-Squares Clustering of Infinitely Tall Data». In: Mathematics 12.13 (2024). issn: 2227-7390. doi: 10.3390/math12131930. Url: https://www.mdpi.com/2227-7390/12/13/1930.
3. Ravil Mussabayev and Rustam Mussabayev. «Optimizing Parallelization Strategies for the Big-Means Clustering Algorithm». In: Advances in Optimization and Applications. Ed. by Nicholas Olenev, Yuri Evtushenko, Milojica Jaćimović, Michael Khachay, and Vlasta Malkova. Petrovac, Montenegro: Springer Nature Switzerland, 2024, pp. 17–32. isbn: 978-3-031-48751-4. doi: 10.1007/978-3-031-48751-4_2.
4. Rustam Mussabayev and Ravil Mussabayev. «Superior Parallel Big Data Clustering Through Competitive Stochastic Sample Size Optimization in Big-Means». In: Intelligent Information and Database Systems. Ed. by Ngoc Thanh Nguyen, Richard Chbeir, Yannis Manolopoulos, Hamido Fujita, Tzung-Pei Hong, Le Minh Nguyen, and Krystian Wojtkiewicz. Lecture Notes in Artificial Intelligence. Ras Al Khaimah, UAE: Springer Nature Singapore, 2024, pp. 224–236. isbn: 978-981-97-4985-0. doi: 10.1007/978-981-97-4985-0_18.
5. Rustam Mussabayev and Ravil Mussabayev. «Variable Landscape Search: A Novel Metaheuristic Paradigm for Unlocking Hidden Dimensions in Global Optimization». In: Information Fusion (2024). Preprint submitted to “Information Fusion”. arXiv: 2408.03895 [math.OC].
6. Rustam Mussabayev, Nenad Mladenovic, Bassem Jarboui, and Ravil Mussabayev. «How to Use K-means for Big Data Clustering?» In: Pattern Recognition 137 (2023), p. 109269. issn: 0031-3203. doi: 10.1016/j.patcog.2022.109269. arXiv: 2204.07485 [cs.LG]. Url: https://www.sciencedirect.com/science/article/pii/S0031320322007488.
7. Gulnur Tolebi, Nurlan S. Dairbekov, Daniyar Kurmankhojayev, and Ravil Mussabayev. «Reinforcement Learning Intersection Controller». In: 2018 14th International Conference on Electronics Computer and Computation (ICECCO). 2018, pp. 206–212. doi: 10.1109/ICECCO.2018.8634692.
8. Ravil Mussabayev. «Colour-based object detection, inverse kinematics algorithms and pinhole camera model for controlling robotic arm movement system». In: 2015 Twelve International Conference on Electronics Computer and Computation (ICECCO). 2015, pp. 1–9. doi: 10.1109/ICECCO.2015.7416879.
9. Ravil Mussabayev. «WRDScore: New Metric for Evaluation of Natural Language Generation Models». 2024. arXiv: 2405.19220 [cs.CL].
10. Alexey Shestov, Rodion Levichev, Ravil Mussabayev, Evgeny Maslov, Anton Cheshkov, and Pavel Zadorozhny. «Finetuning Large Language Models for Vulnerability Detection». 2024. arXiv: 2401.17010 [cs.CR].
11. Ravil Mussabayev. Structure-Aware Code Vulnerability Analysis With Graph Neural Networks. 2023. arXiv: 2307.11454 [cs.CR].
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Potential research studies of doctoral students
Global Optimization for Big Data; Multimodal Optimization; Collective Intelligence; Multi-Agent Systems