Simone Deparis
Professeur titulaire
EPFL SB SMA-GE
MA B2 477 (Bâtiment MA)
Station 8
1015 Lausanne
Web site: Site web: https://sma.epfl.ch/
EPFL SB MATH SCI-SB-SD
MA B2 477 (Bâtiment MA)
Station 8
1015 Lausanne
+41 21 693 25 47
+41 21 693 25 79
Local:
MA B2 477
EPFL
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SB
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MATH
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SCI-SB-SD
EPFL AVP-E CePRO
RLC D1 650 (Rolex Learning Center)
Station 20
1015 Lausanne
+41 21 693 25 47
Local:
RLC D1 650
EPFL
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VPA-AVP-E
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AVP-E
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AVP-E-CEPRO
EPFL SB SMA-GE
MA B2 477 (Bâtiment MA)
Station 8
1015 Lausanne
Web site: Site web: https://epflch.sharepoint.com/sites/CDS
Publications
Publications Infoscience
Journal Articles
2024
SPACE-TIME REDUCED BASIS METHODS FOR PARAMETRIZED UNSTEADY STOKES EQUATIONS
Siam Journal On Scientific Computing. 2024. DOI : 10.1137/22M1509114.2023
DeepBND: A machine learning approach to enhance multiscale solid mechanics
Journal of Computational Physics. 2023. DOI : 10.1016/j.jcp.2023.111996.2022
The INTERNODES method for applications in contact mechanics and dedicated preconditioning techniques
Computers & Mathematics With Applications. 2022. DOI : 10.1016/j.camwa.2022.09.019.PDE-Aware Deep Learning for Inverse Problems in Cardiac Electrophysiology
SIAM Journal on Scientific Computing. 2022. DOI : 10.1137/21M1438529.Gender, prior knowledge, and the impact of a flipped linear algebra course for engineers over multiple years
Journal of Engineering Education. 2022. DOI : 10.1002/jee.20467.2021
Deep Neural Network to Accurately Predict Left Ventricular Systolic Function Under Mechanical Assistance
Frontiers In Cardiovascular Medicine. 2021. DOI : 10.3389/fcvm.2021.752088.Model order reduction of flow based on a modular geometrical approximation of blood vessels
Computer Methods in Applied Mechanics and Engineering. 2021. DOI : 10.1016/j.cma.2021.113762.2020
Implementation and Calibration of a Deep Neural Network to Predict Parameters of Left Ventricular Systolic Function Based on Pulmonary and Systemic Arterial Pressure Signals
Frontiers In Physiology. 2020. DOI : 10.3389/fphys.2020.01086.Data driven approximation of parametrized PDEs by reduced basis and neural networks
Journal Of Computational Physics. 2020. DOI : 10.1016/j.jcp.2020.109550.Analysis of morphological and haemodynamical indexes in abdominal aortic aneurysms as preliminary indicators of intraluminal thrombus deposition
Biomechanics and Modeling in Mechanobiology. 2020. DOI : 10.1007/s10237-019-01269-4.2019
Multi space reduced basis preconditioners for parametrized Stokes equations
Computers & Mathematics With Applications. 2019. DOI : 10.1016/j.camwa.2018.09.036.An algebraic least squares reduced basis method for the solution of nonaffinely parametrized Stokes equations
Computer Methods In Applied Mechanics And Engineering. 2019. DOI : 10.1016/j.cma.2018.06.035.Coupling non-conforming discretizations of PDEs by spectral approximation of the Lagrange multiplier space
ESAIM: Mathematical Modelling and Numerical Analysis. 2019. DOI : 10.1051/m2an/2019030.2018
Application of the Rosenbrock methods to the solution of unsteady 3D incompressible Navier-Stokes equations
Computers & Fluids. 2018. DOI : 10.1016/j.compfluid.2018.10.005.Reduced Numerical Approximation of Reduced Fluid-Structure Interaction Problems With Applications in Hemodynamics
Frontiers in Applied Mathematics and Statistics. 2018. DOI : 10.3389/fams.2018.00018.Multi space reduced basis preconditioners for large-scale parametrized PDEs
SIAM Journal on Scientific Computing. 2018. DOI : 10.1137/16M1089149.The LifeV library: engineering mathematics beyond the proof of concept
ArXiv. 2018.2017
A numerical investigation of multi space reduced basis preconditioners for parametrized elliptic advection-diffusion equations
Communications in Applied and Industrial Mathematics. 2017. DOI : 10.1515/caim-2017-0015.A parallel algorithm for the solution of large-scale nonconforming fluid-structure interaction problems in hemodynamics
Journal of Computational Mathematics -International Edition-. 2017. DOI : 10.4208/jcm.1702-m2016-0630.A Monolithic Approach to Fluid–Composite Structure Interaction
Journal of Scientific Computing. 2017. DOI : 10.1007/s10915-017-0363-5.2016
Parameter estimates for the Relaxed Dimensional Factorization preconditioner and application to hemodynamics
Computer Methods in Applied Mechanics and Engineering. 2016. DOI : 10.1016/j.cma.2015.11.016.Multiphysics Computational Modeling in C-Heart
SIAM Journal of Scientific Computing. 2016. DOI : 10.1137/15M1014097.Parallel subdomain solver strategies for the algebraic additive Schwarz preconditioner
Parallel Computing. 2016. DOI : 10.1016/j.parco.2016.05.011.INTERNODES: an accurate interpolation-based method for coupling the Galerkin solutions of PDEs on subdomains featuring non-conforming interfaces
Computers and Fluids. 2016. DOI : 10.1016/j.compfluid.2016.03.033.FaCSI: A block parallel preconditioner for fluid-structure interaction in hemodynamics
Journal Of Computational Physics. 2016. DOI : 10.1016/j.jcp.2016.10.005.Numerical modeling of fluid-structure interaction in arteries with anisotropic polyconvex hyperelastic and anisotropic viscoelastic material models at finite strains
International Journal For Numerical Methods In Biomedical Engineering. 2016. DOI : 10.1002/cnm.2756.2015
Fluid-structure interaction simulations of cerebral arteries modeled by isotropic and anisotropic constitutive laws
Computational Mechanics -International Journal then Research Journal-. 2015. DOI : 10.1007/s00466-014-1117-y.A Comparison of Preconditioners for the Steklov–Poincaré Formulation of the Fluid-Structure Coupling in Hemodynamics
Proceedings in Applied Mathematics and Mechanics. 2015. DOI : 10.1002/pamm.201510037.2014
Comparisons between reduced order models and full 3D models for fluid-structure interaction problems in haemodynamics
Journal Of Computational And Applied Mathematics. 2014. DOI : 10.1016/j.cam.2013.09.049.Parallel preconditioners for the unsteady Navier-Stokes equations and applications to hemodynamics simulations
Computers & Fluids. 2014. DOI : 10.1016/j.compfluid.2013.10.034.A Rescaled Localized Radial Basis Function Interpolation On Non-Cartesian And Nonconforming Grids
Siam Journal On Scientific Computing. 2014. DOI : 10.1137/130947179.2013
Physiological simulation of blood flow in the aorta: comparison of hemodynamic indices as predicted by 3-D FSI, 3-D rigid wall and 1-D models
Medical Engineering and Physics. 2013. DOI : 10.1016/j.medengphy.2012.08.009.Implicit coupling of one-dimensional and three-dimensional blood flow models with compliant vessels
Multiscale Modeling and Simulation. 2013. DOI : 10.1137/120867408.Numerical simulation of left ventricular assist device implantations: comparing the ascending and the descending aorta cannulations
Medical Engineering and Physics. 2013. DOI : 10.1016/j.medengphy.2013.03.022.On the continuity of mean total normal stress in geometrical multiscale cardiovascular problems
Journal of Computational Physics. 2013. DOI : 10.1016/j.jcp.2013.05.037.2012
Stabilized reduced basis approximation of incompressible three-dimensional Navier–Stokes equations in parametrized deformed domains
Journal of Scientific Computing. 2012. DOI : 10.1007/s10915-011-9478-2.A two-level time step technique for the partitioned solution of one-dimensional arterial networks
Computer Methods in Applied Mechanics and Engineering. 2012. DOI : 10.1016/j.cma.2012.05.017.2011
Parallel Algorithms for Fluid-Structure Interaction Problems in Haemodynamics
Siam Journal on Scientific Computing. 2011. DOI : 10.1137/090772836.Fluid Structure Interaction Simulations of Physiological Blood Flow in the Aorta
Computers and Fluids. 2011. DOI : 10.1016/j.compfluid.2010.11.032.Algorithms for the partitioned solution of weakly coupled fluid models for cardiovascular flows
International Journal for Numerical Methods in Biomedical Engineering. 2011. DOI : 10.1002/cnm.1457.2009
Reduced basis method for multi-parameter dependent steady Navier-Stokes equations: applications to natural convection in a cavity
Journal of Computational Physics. 2009. DOI : 10.1016/j.jcp.2009.03.008.2008
Reduced basis error bound computation of parameter-dependent Navier-- Stokes equations by the natural norm approach
SIAM Journal on Numerical Analysis. 2008. DOI : 10.1137/060674181.2006
Weighted Clément operator and application to the finite element discretization of the axisymmetric Stokes problem
Numerische Mathematik. 2006. DOI : 10.1007/s00211-006-0039-9.A truncated Fourier/finite element discretization of the Stokes equations in an axisymmetric domain
Mathematical Models and Methods in Applied Sciences (M3AS). 2006. DOI : 10.1142/S0218202506001133.An Efficient Discretization of the Navier–Stokes Equations in an Axisymmetric Domain. Part 1: The Discrete Problem and its Numerical Analysis
Journal of Scientific Computing. 2006. DOI : 10.1007/s10915-005-9035-y.Uncertainty Quantification for Reduced Basis Approximations: "Natural Norm" A Posteriori Error Estimators
Journal of Computational Physics. 2006. DOI : 10.1016/j.jcp.2006.02.012.Fluid-structure algorithms based on Steklov-Poincaré operators
Computer Methods in Applied Mechanics and Engineering. 2006. DOI : 10.1016/j.cma.2005.09.029.2003
Acceleration of a fixed point algorithm for fluid-structure interaction using transpiration conditions
Mathematical Modelling and Numerical Analysis. 2003. DOI : 10.1051/m2an:2003050.Modified fixed point algorithm in fluid–structure interaction
Comptes rendus Mecanique. 2003. DOI : 10.1016/S1631-0721(03)00119-0.Conference Papers
2024
EQUITY AND EXAMINATION TIME PRESSURE IN FIRST YEAR MATHEMATICS FOR ENGINEERS
2024. 52 Conference of the European Society for Engineering, Lausanne, Switzerland, 2024-09-02 - 2024-09-05. p. 916 - 925. DOI : 10.5281/zenodo.14254730.Reluctance Despite Recognition: Student Perceptions of Benefits of Group Work
2024. 52 Conference of the European Society for Engineering, Lausanne, Switzerland, 2024-09-02 - 2024-09-05. p. 2012 - 2022. DOI : 10.5281/zenodo.14256707.2023
Can Knowledge Transfer Techniques Compensate for the Limited Myocardial Infarction Data by Leveraging Haemodynamics? An <i>in silico</i> Study
2023. 21st International Conference on Artificial Intelligence in Medicine (AIME), Portoroz, SLOVENIA, 2023-06-12 - 2023-06-15. p. 218 - 228. DOI : 10.1007/978-3-031-34344-5_26.2015
Adaptive polynomial approximation by means of random discrete least squares
2015. ENUMATH 2013, Lausanne, August 26-30, 2013. p. 547 - 554. DOI : 10.1007/978-3-319-10705-9_54.Modeling the fluid dynamics of the heart: from blood flows in idealized left ventricles to patient-specific aortic valve simulations
2015. 2nd International Workshop on Latest Advances in Cardiac Modeling - LACM2015, Munich, Germany, March 12-13, 2015.Coupled models for integrated heart simulations: a numerical study of the fluid dynamics in the left ventricle
2015. 4th International Conference on Computational and Mathematical Biomedical Engineering, Ecole Normale Superieure de Cachan, Cachan, France, June 29-July 1, 2015. p. 696 - 699.2014
Aspects of Arterial Wall Simulations: Nonlinear Anisotropic Material Models and Fluid Structure Interaction
2014. 11th World Congress on Computational Mechanics (WCCM XI) / 5th European Conference on Computational Mechanics (ECCM) / 6th European Conference on Computational Fluid Dynamics (ECFD), Barcelona, Spain, July 20-25, 2014. p. 947 - 958.2012
Connecting Ventricular Assist Devices to the Aorta: a Numerical Model
2012. Matematica e Cultura 2011, Venice, Italy, March 25-27, 2011. p. 211 - 224. DOI : 10.1007/978-88-470-2427-4_20.2011
Algorithms for the coupling of one-dimensional arterial networks with three-dimensional fluid-structure interaction problems
2011. ECCOMAS Thematic International Conference on Simulation and Modeling of Biological Flows (SIMBIO 2011), Brussels, Belgium, September 21-23, 2011.Geometrical multiscale model of an idealized left ventricle with fluid-structure interaction effects coupled to a one-dimensional viscoelastic arterial network
2011. ECCOMAS Thematic International Conference on Simulation and Modeling of Biological Flows (SIMBIO 2011), Brussels, Belgium, September 21-23, 2011.2010
Efficient Solution of Fluid-Structure Interaction Problems in Computational Hemodynamics
2010. ICNAAM, Numerical Analysis and Applied Mathematics, 2010. p. 15 - 18. DOI : 10.1063/1.3498124.2009
Reduced Basis Methods and A Posteriori Error Estimators for Heat Transfer Problems
2009. ASME -American Society of Mechanical Engineers - Heat Transfer Summer Conference, paper HT2009-88211, S. Francisco, CA, USA, 19-23 July 2009. p. 753 - 762. DOI : 10.1115/HT2009-88211.2006
A domain decomposition framework for fluid-structure interaction problems
2006. p. 41 - 58. DOI : 10.1007/3-540-31801-1_4.2004
Superhedging Strategies and Balayage in Discrete Time
2004. 4th Ascona Conference on Stochastic Analysis, Ascona, May 2002. DOI : 10.1007/978-3-0348-7943-9_14.2003
Acceleration of a fixed point algorithm for fluid-structure interaction using transpiration conditions
2003. Second MIT conference on Computational Fluid and Solid Mechanics, MIT, Cambridge MA, USA.Theses
2024
Reduced order models to address temporal complexity and geometrical variability in hemodynamics
Lausanne, EPFL, 2024. DOI : 10.5075/epfl-thesis-11177.2021
Reduction techniques for PDEs built upon Reduced Basis and Domain Decomposition Methods with applications to hemodynamics
Lausanne, EPFL, 2021. DOI : 10.5075/epfl-thesis-8679.2016
Parallel Algorithms for the Solution of Large-Scale Fluid-Structure Interaction Problems in Hemodynamics
Lausanne, EPFL, 2016. DOI : 10.5075/epfl-thesis-6983.2014
Reduced Order Fluid-Structure Interaction Models for Haemodynamics Applications
Lausanne, EPFL, 2014. DOI : 10.5075/epfl-thesis-6285.2013
Parallel Preconditioners for Navier-Stokes Equations and Fluid-Structure Interaction Problems : Application to Hemodynamics
Lausanne, EPFL, 2013. DOI : 10.5075/epfl-thesis-5967.Parallel algorithms and efficient implementation techniques for finite element approximations
Lausanne, EPFL, 2013. DOI : 10.5075/epfl-thesis-5980.2012
Partitioned Solution of Geometrical Multiscale Problems for the Cardiovascular System : Models, Algorithms, and Applications
Lausanne, EPFL, 2012. DOI : 10.5075/epfl-thesis-5453.2011
Fluid-Structure Interaction Problems in Hemodynamics : Parallel Solvers, Preconditioners, and Applications
Lausanne, EPFL, 2011. DOI : 10.5075/epfl-thesis-5109.2004
Numerical analysis of axisymmetric flows and methods for fluid-structure interaction arising in blood flow simulation
Lausanne, EPFL, 2004. DOI : 10.5075/epfl-thesis-2965.Book Chapters
2017
Fluid-structure interaction for vascular flows: From supercomputers to laptops
Fluid-Structure Interaction. Modeling, Adaptive Discretisations and Solvers; Berlin: De Gruyter, 2017. p. 237 - 282.2016
A Fluid–Structure Interaction Algorithm Using Radial Basis Function Interpolation Between Non-Conforming Interfaces
Advances in Computational Fluid-Structure Interaction and Flow Simulation: New Methods and Challenging Computations; Springer International Publishing, 2016. p. 439 - 450.2007
Heterogeneous domain decomposition methods for fluid-structure interaction problems
Domain Decomposition Methods in Science and Engineering XVI; Berlin: Springer, 2007. p. 41 - 52.Conference Proceedings
2015
Numerical Mathematics and Advanced Applications - ENUMATH 2013
2015Working Papers
2018
MATHICSE Technical Report : An algebraic least squares reduced basis method for the solution of parametrized Stokes equations
2018MATHICSE Technical Report : Multi space reduced basis preconditioners for parametrized Stokes equations
20182017
MATHICSE Technical Report : A numerical investigation of multi space reduced basis preconditioners for parametrized elliptic advection-diffusion
20172016
MATHICSE Technical Report : Multi space reduced basis preconditioners for large-scale parametrized PDEs
20162015
MATHICSE Technical Report : INTERNODES: an accurate interpolation-based method for coupling the Galerkin solutations of PDEs on subdomains featuring non-conforming interfaces
2015MATHICSE Technical Report : A fluid-structure interaction algorithm using radial basis function interpolation between non-conforming interfaces
2015MATHICSE Technical Report : FaCSI : A block parallel preconditioner for fluid-structure interaction in hemodynamics
2015Reports
2012
Multiscale fluid-structure interaction simulation of anatomically correct left ventricle fluid dynamics with fictitious elastic structure regularization
20122004
A dynamic preconditioner for Newton-Krylov algorithms. Application to fluid-structure interaction
2004Posters
2011
Numerical Fluid-Structure Interaction Model for the Connection of Outflow Cannula of LVAD to the Aorta
ASAIO 57th Annual Conference, Washington DC, USA, June 10-12, 2011.Segmentation and Grid Generation for Numerical Simulations of VAD Connections with Patientspecific Data
XXXVIII Congress of the European Society for Artificial Organs (ESAO 2011), Porto, Portugal, October 9-12, 2011.Talks
2019
Flipped classroom in Linear Algebra
SFDN Conference 2019, Zurich, Switzerland, 2019-02-22.Student Projects
2021
On the preconditioning of the INTERNODES matrix for applications in contact mechanics
20212019
INTERNODES method for contact mechanics
20192015
Is the lattice Boltzmann method suited for aeroacoustic applications ?
2015High Performance Computing of flows around hydrofoils
20152014
FETI-DP Domain Decomposition Method
2014Hydrocontest – Computational Fluid Dynamics of Hydrofoils
2014Hydrocontest: Computational Fluid Dynamics of hydrofoils
20142013
Reduced order models for the simulation of pathological heart valves
2013Numerical study of Navier-Stokes problems with generalized Robin boundary conditions
2013Multi-level preconditioner for solving the Navier-Stokes equations in hemodynamics applications
20132012
Reduced Models for Cardiovascular Applications
20122008
Reduced basis method for the shape optimization of racing car components
2008Modélisation du système cardiovasculaire: simulations physiologiques, exécution parallèles et visualisations
20082007
Modélisation mathématique et simulation numérique du système cardiovasculaire
2007Lignes de courant de fluides incompressibles
2007Autres publications
Errata Corrige
Dans A Rescaled Localized Radial Basis Function Interpolation on Non-Cartesian and Nonconforming Grids, Deparis, Simone; Forti, Davide; Quarteroni, Alfio, Siam Journal on Scientific Computing (ISSN: 1064-8275), vol. 36, num. 6, 2014. ( http://infoscience.epfl.ch/record/204740) La référence [10] doit être changée. La bonne réference est M. Lombardi, N. Parolini, A. Quarteroni, Radial basis functions for inter-grid interpolation and mesh motion in FSI problems, Computer Methods in Applied Mechanics and Engineering, Volume 256, 1 April 2013, Pages 117-131, ISSN 0045-7825, http://dx.doi.org/10.1016/j.cma.2012.12.019Enseignement & Phd
Enseignement
Mathematics
Doctorants
Bassanini Micol, Marcinno Fabio, Pineros-Rodriguez Manuela,A dirigé les thèses EPFL de
Colciago Claudia Maria , Crosetto Paolo , Forti Davide , Grandperrin Gwenol , Malossi Adelmo Cristiano Innocenza , Pegolotti Luca , Popescu Radu , Tenderini Riccardo ,Past courses
Linear Algebra, Numerical analysis, Programming concepts in scientific computing, Geometry, Numerical analysis and Computational Mathematics, Numerical approximation of partial differential equations
Cours
Algèbre linéaire (classe inversée)
L'objectif du cours est d'introduire les notions de base de l'algèbre linéaire et ses applications. Cette classe pilote est donné sous forme inversée.
Analyse numérique
Le cours présente des méthodes numériques pour la résolution de problèmes mathématiques comme des systèmes d'équations linéaires ou non linéaires, approximation de fonctions, intégration et dérivation, équations différentielles.