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

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

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