PhD researcher in computational fluid mechanics and artificial intelligence at CORIA (UMR 6614 CNRS), Université de Rouen Normandie.

I’m a PhD candidate at CORIA, Université de Rouen Normandie, working on wave–structure interactions using CFD and machine learning. My research combines OpenFOAM simulations with AI models to better understand and predict wave forces and overtopping at coastal structures.

My background is in mechanical engineering and fluid mechanics. Alongside my research, I teach and develop tools to make simulation and data analysis easier.

COAST: An open-source framework for automated wave overtopping analysis and simulation of coastal structures

• Results in Engineering, 2026. COAST source code on GitHub. An open-source framework for automating wave overtopping simulations and analysis.

A hybrid GAN-CNN surrogate framework for wave-structure interaction

• Ocean Engineering, 2026. A deep-learning surrogate that predicts free-surface fields and hydrodynamic forces together rather than separately.

Efficient LES parametric studies via ANN-based multi-fidelity modeling and adaptive sampling

• Flow, Turbulence and Combustion, 2025. Neural-network multi-fidelity models that cut the cost of parametric LES campaigns.

OpenFOAM modelling of storm-induced wave run-up and swash hydrodynamics on a macrotidal beach

• preprint, 2026. Run-up and swash hydrodynamics on a macrotidal beach under storm conditions.

Computational fluid dynamics - machine learning - free-surface flows (VOF) - wave–structure interaction - overtopping discharge and event statistics - OpenFOAM automation

ali.mahdi@coria.fr - ORCID 0009-0005-0208-5479