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Let Make the change we want to see in the world.

Basics

Name Charlesquin Kemajou Mbakam
Label Scientist
Email ckemajou@aimsammi.org
Url https://charles-kmc.github.io/

Education

  • 2024.07 - 2024.10

    Edinburgh, UK

    Research associate Heriot-Watt University
    Imaging inverse problems
  • 2021.01 - 2024.09

    Edinburgh, UK

    PhD Degree Heriot-Watt University
    Empirical Bayesian image restoration by Langevin sampling with total variation and denoising diffusion priors
    Imaging inverse problems
    • Bayesian Statistics
    • Deep learning
    • Inverse problems
  • 2019.10 - 2020.12

    Kigali, Rwanda

    Masters Degree African Master of Machine Intelligence
    Empirical Bayesian estimation for semi-blind inverse problems. Application to deblurring image with a Gaussian kernel
    Artificial Intelligence
    • Deep learning
    • Reinforcement learning
  • 2017.08 - 2019.02

    Dschang, Cameroon

    Masters Degree African Institute of Mathematical Sciences
    Design and Implementation of the database management system for the Cameroonian Chamber of Commerce (CCIMA)
    Industrial Mathematics
    • Optimisation
    • Control theory
    • Statistics and probability
  • 2015 - 2017

    Dschang, Cameroon

    Masters Degree University of Dschang
    Modeling, analyzing, and simulation of cabbage nematode; Pultella Xylostella
    Applied Mathematics
  • 2012 - 2015

    Dschang, Cameroon

    Bachelors Degree University of Dschang
    Applied Mathematics

Certificates

Publications

Skills

Python
MatLab

Languages

French
Native speaker
English
Fluent

Interests

Inverse problems
Deep learning
Optimisation
Generative models
Diffusion models
Computational imaging

References

Professor Marcelo Pereyra
Professor Jean-Francois Giovannelli