Mussabayev Ravil Rafikovich
Ph.D.
Associate Professor
Institute of Automation and Information Technologies
Department of Software Engineering
Email: r.mussabayev@satbayev.111
Professional biography
2023-present – Kazakh National Research Technical University named after K.I. Satpayev
Research Scientist, AI Research Lab
Project “Automated Construction of a Multilingual Ontology for Empowering the Kazakh Language Through Advanced AI Technologies” (BR21882268)
2022-2024 yy. – Huawei Russian Research Institute
Research Engineer
2018-2022 yy. – University of Washington, Department of Mathematics
Teaching Assistant & Predoctoral Instructor
2018-2018 yy. – Kazakh National Research Technical University named after K.I. Satpayev
Research Engineer
Project “Development of the software package for 3D modelling, continual monitoring and forecasting of the level of air pollution in densely populated and industrial areas” (BR05236316)
2017-2017 yy. – Kazakh-British Technical University
Teaching Assistant
2015-2017 yy. – Uniline Group LLP
Research Engineer
Education
2018-2024 yy. – University of Washington
Doctor of Philosophy, PhD – Mathematics
2018-2021 yy. – University of Washington
Master of Science, MSc – Mathematics
2015-2018 yy. – Kazakh-British Technical University
Bachelor of Science, BSc – Mathematical and Computer Modeling
Scientific projects
1. Big Data Clustering and Advanced Global Optimization Algorithms (https://rmusab.github.io/projects/2_project/).
2. Reinforcement Learning Intersection Controller (https://rmusab.github.io/projects/3_project/).
3. Vulnerability and Malware Detection (Cybersecurity) (https://rmusab.github.io/projects/1_project/).
4. Multimodal Large Language Models (MLLMs).
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].