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Computational Sciences and Engineering

Computational Sciences and Engineering

Research Manager

We are six dedicated permanent reserachers together with several PhDs and postdocs with a vision "Mathematics for a better society" and an ultimate mission to "bridge the gap between high fidelity numerical simulations and real-world applications". To this end, we aim to be a market leader in providing comprehensive, validated and cost-effective solutions in following broad areas:

** Numerical Modeling
-Discretization: Finite elements (FEM), finite volumes (FVM), Discrete Element models (DEM) and isogeometric analysis.
- Adaptive refinement methods using error estimation and local refinement.
- High performance computing (HPC): Iterative methods and parallel algorithms for solving large-scale systems in a reasonable timeframe.

** Physical Modeling
Much of our work in physical modeling revolves around fluid and solid mechanics, as well as coupled problems. - Fluid mechanics: Computational fluid dynamics (CFD), multiphase flows, multiscale problems, turbulence modeling and microfluidics.
- Solid mechanics: Thin wall structures, nonlinear elasticity and dynamic problems.
- Coupled problems: Poroelasticity, Thermoelasticity, fluid-structure
interaction (FSI) and fracture propagation.

**Engineering models
-Parameterization: Homogenization
-Reduced Order Modelling: Based on POD, SVD, Real time simulators
-Dimensional reduction: Strip theory, BEM

**Data Analysis
-Time series analysis: FFT, EMD, Wavelets
-Multivariate Data Analysis: PCA
-Post-processing: POD, SVD
-Machine Learning

Application Area