Mathematics Research Group
The Mathematics Research Group consists of mathematicians and interdisciplinary researchers, dedicated to advancing the scholarly study of mathematics and its multifaceted applications. Rooted in the rigorous exploration of mathematical theories, our group serves as an intellectual hub for addressing complex, theoretical, and applied problems across various scientific domains.
Our group's primary mission is the expansion and deepening of mathematical understanding and its practical implications. This is pursued through several key initiatives:
- Theoretical Advancements: We focus of the study of advanced mathematical concepts, including functional analysis, stochastic optimal control, mean-field type games, numerical analysis, fuzzy logic, abstract algebra, and others. Our aim is to further the frontiers of mathematical knowledge and provide foundational tools for other scientific fields.
- Interdisciplinary Applications: We are committed to exploring the utilization of mathematical theories in diverse disciplines such as computer science, physics, engineering, computational biology, and quantitative finance. Our objective is to develop robust mathematical methodologies that can solve intricate and multifaceted problems in these areas.
- Collaborative Research Across Disciplines: Recognizing the importance of interdisciplinary perspectives, we actively promote collaborative research efforts with specialists from various academic fields. This multidisciplinary approach is crucial for tackling contemporary scientific challenges that require a confluence of ideas and methods.
- Dissemination of Scholarly Work: A cornerstone of our group's activities is the dissemination of research findings through scholarly publications, international conferences, and symposia. This initiative is aimed at fostering academic discourse and promoting the application of mathematical research in various scientific and industrial sectors.
Conferences:
- International Conference on Recent Developments in Mathematics (ICRDM 2022).
- International Conference on Modeling, Simulation and Optimization of Energy Systems (MSOES 2023).
- International Symposium on Advances in Mathematical Sciences (ISAMS 2024).
Publications:
- Kamalov, F. (2020). Generalized feature similarity measure. Annals of mathematics and artificial intelligence, 88(9), 987-1002.
- Kamalov, F., Sulieman, H., Moussa, S., Reyes, J. A., & Safaraliev, M. (2023). Nested ensemble selection: An effective hybrid feature selection method. Heliyon, 9(9).
- Kamalov, F., Santandreu, D., Leung, H. H., Johnson, J., & El Khatib, Z. (2023, May). Leveraging computer algebra systems in calculus: a case study with SymPy. In 2023 IEEE Global Engineering Education Conference (EDUCON) (pp. 1-6). IEEE.
- Barreiro‐Gomez, J., & Choutri, S. E. (2023). Data‐driven stability of stochastic mean‐field type games via noncooperative neural network adversarial training. Asian Journal of Control.
- Frihi, Zahrate El Oula, Julian Barreiro-Gomez, Salah Eddine Choutri, Boualem Djehiche, and Hamidou Tembine. "Stackelberg mean-field-type games with polynomial cost." IFAC-PapersOnLine 53, no. 2 (2020): 16920-16925.
- Elsayed, A. A., Ahmad, N., & Malkawi, G. (2022). Numerical solutions for coupled trapezoidal fully fuzzy sylvester matrix equations. Advances in Fuzzy Systems, 2022.
- Elsayed, A. A. A., Ahmad, N., & Malkawi, G. (2022). Solving Positive Trapezoidal Fully Fuzzy Sylvester Matrix Equation. Fuzzy Information and Engineering, 14(3), 314-334.