Mohamed Maama obtained his Ph.D. in Mathematics from Normandie University. He is a member of the Stochastic Numerics Research Group, led by Prof. Raul F. Tempone at King Abdullah University of Science and Technology (KAUST).
Research Interests
- Computational Statistics: Design, Analysis, and Application of Stochastic Algorithms for Data Analysis
- Mathematical Modelling of Complex Systems (Deterministic, Stochastic, and Networks)
- Computational Neuroscience
Education Profile
- Ph.D. in Computational and Applied Mathematics, Normandie University, France, 2020. Thesis: Mathematical Modelling and Numerical Analysis of Neuronal Networks, Application to Visual Cortex
- M.S. Mathematical Optimization for Artificial Intelligence, Limoges University and National Polytechnic Institute of Toulouse, France; Thesis: Numerical Optimization Algorithms for Designing Satellite Systems
Selected Publications
- Antithetic Multilevel Particle Filters, to appear in Advances in Applied Probability Journal (2024), with Ajay Jasra and Hernando Ombao
- An Improved Unbiased Particle Filter, Monte Carlo Meth. Appl. (to appear) (2023) with Ajay Jasra and Hernando Ombao
- Bayesian Parameter Inference for Partially Observed SDEs driven by Fractional Brownian Motion, Statistics and Computing (2023), 33(1), 19. with Ajay Jasra and Hernando Ombao
- Emergent properties in a V1 network of Hodgkin-Huxley neurons, to appear in Mathematical Modelling of Natural Phenomena (2023-2024) with B. Ambrosio, M.A Aziz-Alaoui and S.M. Mintchev
- Assessing the viability of tri-trophic food chain model in designing a conservation plan: The case of dwindling Quokka population, Ecological Complexity 41 (2020), with P. Roy and S. Jain
- The number of spanning trees of a hybrid network created by inner-outer iteration, Physica Scripta (2019), with Y. Liao and M.A Aziz-Alaoui
