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Reduced Models and Parallel Computing for Uncertainty Quantification in Cardiovascular Mathematics
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Reliable direct and inverse methods in computational hemodynamics
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Assimilation of velocity data into fluid dynamic simulations,
an application to computational hemodynamics
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Parameter Estimation and Reduced-order Modeling in Electrocardiology
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Numerical Modeling of Blood Flow Problems in Coronary Arteries: Patient-specific Processing, from Stented Geometries to Fluid Dynamics
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Scalable Efficient Methods for Incompressible Fluid-dynamics in
Engineering Problems
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Iterative Methods and Partitioning Techniques for Large Sparse
Problems in Network Analysis
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Iterative Polyenergetic Digital Tomosynthesis Reconstructions
for Breast Cancer Screening
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NUMERICAL OPTIMIZATION FOR TRANSPORT AND REGISTRATION PROBLEMS
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Analysis and simulations of Bingham fluid problems with
Papanastasiou-like regularizations: Primal and Dual formulations
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Numerical Methods for Optimal Experimental Design of Ill-posed
Problems
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Numerical Solution of the k-Eigenvalue Problem
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Numerical Analysis of Mixed Formulations for Bingham Fluids
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High Performance Java Software for Image Processing
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Inverse Problems in Hyperspectral Imaging
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Mathematical Models and Numerical Methods for Wavefront
Reconstruction
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Preconditioning Techniques for the Incompressible Navier-Stokes
Equations
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Adaptive Approaches to Utility Computing for Scientific
Applications
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Efficient, stable, and reliable solvers for the steady incompressible Navier-Stokes equations in computational hemodynamics.
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Deterministic and stochastic acceleration techniques for Richardson-type iterations
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