Мусабаев Равиль Рафикович

Научные проекты

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).

Публикации

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].