Majdi Fanous

Majdi Fanous is a postgraduate researcher at the Centre of Computational Science and Mathematical Modelling (CSM) at Coventry University. He is conducting his research under the Global Challenges Research Fund (GCRF).

In addition to his research, Majdi has assisted in delivering several modules at Coventry University including statistics, machine learning, and artificial neural networks. He has also co-supervised multiple postgraduate students in their Masters project.

After receiving a Bachelor of Engineering degree in Chemical Engineering from the American University of Beirut (AUB), Lebanon, he went on to pursue a Master of Science degree in Data Science and Computational Intelligence at Coventry University.

Majdi's research interests are in developing fast, efficient, and accurate machine learning surrogate models to replace complex numerical models. The application of his research is in modelling the hydro-morphodynamics of mangrove environments to quantify their ability to mitigate climate change impacts such as sea-level rise and coastal erosion.

Enhancing Mangrove Forest Resilience Against Coastal Degradation and Climate Change Impacts Using Advanced Bayesian Machine Learning Methods

Supervisory Team

Dr Alireza Daneshkhah (Director of Study)

Dr Jonathan Eden

Dr Vasile Palade

Dr Renji Remesan (External - IIT)

Modelling of Hydro-Morphodynamic Systems Using Deep Gaussian Process