Azzeddine Soulaimani

Professor

École de technologie supérieure

Canada

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Research Interests

Fluid Mechanics

50%

Hydrology

20%

Groundwater Modeling

20%

Flow Modeling

20%

Discontinuous Galerkin

20%

Large Eddy Simulation

20%

Incompressible Flow

20%

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Recent Grants

Grant: Close

Développement de modèles géométriques optimisés de nouveaux produits aéronautiques en fabrication additive par simulations numériques des écoulements.

Open Date: 2018-04-01

Close Date: 2019-03-31

Grant: Close

High performance computing methodologies for solving complex turbulent flows

Open Date: 2016-04-01

Close Date: 2019-03-31

Grant: Close

Incertitudes en modélisation numérique hydraulique des ruptures de barrage.

Open Date: 2016-04-01

Close Date: 2019-03-31

Grant: Close

Modélisation multiphysique couplée des barrages en remblai

Open Date: 2015-04-01

Close Date: 2019-03-31

Grant: Close

Analyse numérique de la performance hydrodynamique d'une hydrolienne de type Darius et conception d'un système de flottaison

Open Date: 2015-04-01

Close Date: 2016-03-31

Articles13

JAX-WSPM: A GPU-accelerated parallel framework based on the JAX library for modeling water flow and solute transport in unsaturated porous media using an implicit finite element method

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Year:

2026

A comparative study of physics-informed neural network strategies for modeling water and nitrogen transport in unsaturated soils

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Year:

2025

A semi-implicit second-order temporal scheme for solving the pressure head-based form of Richards' and advection-dispersion equations

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Year:

2025

A transfer learning physics-informed deep learning framework for modeling multiple solute dynamics in unsaturated soils

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Year:

2024

A hierarchical level-set numerical approach for immiscible incompressible n-phase flows (n≥3)

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Year:

2024

Semi-implicit schemes for modeling water flow and solute transport in unsaturated soils

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Year:

2024

Reduced-order modeling for stochastic large-scale and time-dependent flow problems using deep spatial and temporal convolutional autoencoders

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Year:

2023

Deep convolutional architectures for extrapolative forecasts in time-dependent flow problems

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Year:

2023

Parallel high-order resolution of the Shallow-water equations on real large-scale meshes with complex bathymetries

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Year:

2022

A Comparative Study of Machine Learning Methods for Computational Modeling of the Selective Laser Melting Additive Manufacturing Process

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Year:

2022

Multi-GPU implementation of a time-explicit finite volume solver using CUDA and a CUDA-Aware version of OpenMPI with application to shallow water flows

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Year:

2022

Non-intrusive reduced-order modeling using uncertainty-aware Deep Neural Networks and Proper Orthogonal Decomposition: Application to flood modeling

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Year:

2021

Strongly coupled XFEM formulation for non-planar three-dimensional simulation of hydraulic fracturing with emphasis on concrete dams

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Year:

2020

Collaborators1

Yves Bourgault

University of Ottawa

CANADA

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