Fabio Nobile

EPFL SB MATH CSQI
MA B2 444 (Bâtiment MA)
Station 8
1015 Lausanne
+41 21 693 54 11
+41 21 693 42 44
Office:
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Web site: Web site: https://sma.epfl.ch/
Publications
Infoscience publications
Full list
* Personalized computational electro-mechanics simulations to optimize cardiac resynchronization therapy
Biomechanics and modeling in mechanobiology. 2024. DOI : 10.1007/s10237-024-01878-8.* A multigrid method for PDE-constrained optimization with uncertain inputs
Journal of Scientific Computing. 2024. DOI : 10.1007/s10915-024-02646-7.* Dynamical Low-Rank Approximation for Stochastic Differential Equations
Mathematics of Computation. 2024. DOI : 10.1090/mcom/3999.* Unbiased Likelihood Estimation of Wright–Fisher Diffusion Processes
2024. 15th International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing, Linz, Austria, 2022-07-17 - 2022-07-21. p. 259 - 275. DOI : 10.1007/978-3-031-59762-6_12.* Multilevel quadrature formulae for the optimal control of random PDEs
2024* Petrov-Galerkin Dynamical Low Rank Approximation: SUPG stabilisation of advection-dominated problems
Computer Methods in Applied Mechanics and Engineering. 2024. DOI : 10.1016/j.cma.2024.117495.* A Combination Technique for Optimal Control Problems Constrained by Random PDEs
SIAM/ASA Journal on Uncertainty Quantification. 2024. DOI : 10.1137/22M1532263.* Error estimates for SUPG-stabilised Dynamical Low Rank Approximations
2024. European Conference on Numerical Mathematics and Advanced Applications (ENUMATH), Lisbon, Portugal, 2023-09-04 - 2023-09-08.* Gradient-based optimisation of the conditional-value-at-risk using the multi-level Monte Carlo method
Journal of Computational Physics. 2023. DOI : 10.1016/j.jcp.2023.112523.* Parametric Reduced Order Model of a Gas Bearings Supported Rotor
Journal of Engineering for Gas Turbines and Power. 2023. DOI : 10.1115/1.4063424.* Parametric Reduced Order Model of a Gas Bearings Supported Rotor
2023. ASME TurboExpo 2023. ASME Turbomachinery Technical Conference and Exposition (Turbo Expo) on Collaborate, Innovate and Empower - Propulsion and Power for a Sustainable Future, Boston, , MA, US, June 26-30, 2023. DOI : 10.1115/GT2023-102519.* A new method to interpolate POD reduced bases-Application to the parametric model order reduction of a gas bearings supported rotor
International Journal For Numerical Methods In Engineering. 2023. DOI : 10.1002/nme.7305.* Analysis of a Class of Multilevel Markov Chain Monte Carlo Algorithms Based on Independent Metropolis–Hastings
SIAM/ASA Journal on Uncertainty Quantification. 2023. DOI : 10.1137/21M1420927.* Quantifying uncertain system outputs via the multi-level Monte Carlo method --- distribution and robustness measures
International Journal for Uncertainty Quantification. 2023. DOI : 10.1615/Int.J.UncertaintyQuantification.2023045259.* Preconditioners for robust optimal control problems under uncertainty
Numerical Linear Algebra with Applications. 2023. DOI : 10.1002/nla.2472.* Density estimation in RKHS with application to Korobov spaces in high dimensions
Siam Journal On Numerical Analysis. 2023. DOI : 10.1137/22M147476X.* Computational electrophysiology of the coronary sinus branches based on electro-anatomical mapping for the prediction of the latest activated region
Medical & Biological Engineering & Computing. 2022. DOI : 10.1007/s11517-022-02610-3.* Stable high-order randomized cubature formulae in arbitrary dimension
Journal of Approximation Theory. 2022. DOI : 10.1016/j.jat.2022.105706.* A technique for non-intrusive greedy piecewise-rational model reduction of frequency response problems over wide frequency bands
Journal of Mathematics in Industry. 2022. DOI : 10.1186/s13362-021-00117-4.* Multi-Level Monte Carlo Methods for Uncertainty Quantification and Risk-Averse Optimisation
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-10031.* HIERARCHICAL MARKOV CHAIN MONTE CARLO METHODS FOR BAYESIAN INVERSE PROBLEMS
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-8951.* Filtered data and eigenfunction estimators for statistical inference of multiscale and interacting diffusion processes
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-10458.* Some first results on the consistency of spatial regression with partial differential equation regularization
Statistica Sinica. 2022. DOI : 10.5705/ss.202019.0346.* Dynamical low rank approximation for uncertainty quantification of time-dependent problems
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9087.* Fast approximation by periodic kernel-based lattice-point interpolation with application in uncertainty quantification
Numerische Mathematik. 2022. DOI : 10.1007/s00211-021-01242-3.* Uncertainty Quantification by Multilevel Monte Carlo and Local Time-Stepping for Wave Propagation
SIAM/ASA Journal on Uncertainty Quantification. 2022. DOI : 10.1137/21M1429047.* Stability properties of a projector-splitting scheme for dynamical low rank approximation of random parabolic equations
Numerische Mathematik. 2021. DOI : 10.1007/s00211-021-01241-4.* MATHICSE Technical Report : Preconditioners for robust optimal control problems under uncertainty
2021* MATHICSE Technical Report : A technique for non-intrusive greedy piecewise-rational model reduction of frequency response problems over wide frequency bands
2021* Non-intrusive double-greedy parametric model reduction by interpolation of frequency-domain rational surrogates
ESAIM: Mathematical Modelling and Numerical Analysis. 2021. DOI : 10.1051/m2an/2021040.* Generalized parallel tempering on Bayesian inverse problems
Statistics And Computing. 2021. DOI : 10.1007/s11222-021-10042-6.* MATHICSE Technical Report : Density estimation in RKHS with application to Korobov spaces in high dimensions
2021* Complexity analysis of stochastic gradient methods for PDE-constrained optimal control problems with uncertain parameters
ESAIM: Mathematical Modelling and Numerical Analysis. 2021. DOI : 10.1051/m2an/2021025.* Function Integration, Reconstruction And Approximation Using Rank-1 Lattices
Mathematics Of Computation. 2021. DOI : 10.1090/mcom/3595.* MATHICSE Technical Report : Uncertainty Quantification by MLMC and Local Time-stepping For Wave Propagation
2021* A hybrid collocation-perturbation approach for PDEs with random domains
Advances In Computational Mathematics. 2021. DOI : 10.1007/s10444-021-09859-6.* MATHICSE Technical Report : Analysis of a class of Multi-Level Markov Chain Monte Carlo algorithms based on Independent Metropolis-Hastings
2021* Model order reduction based on functional rational approximants for parametric PDEs with meromorphic structure
Lausanne, EPFL, 2021. DOI : 10.5075/epfl-thesis-9271.* A Posteriori Error Estimation for the Stochastic Collocation Finite Element Approximation of the Heat Equation with Random Coefficients
2021. Sparse Grids and Applications, Munich, 2018. DOI : 10.1007/978-3-030-81362-8_6.* Existence of dynamical low rank approximations for random semi-linear evolutionary equations on the maximal interval
Stochastics And Partial Differential Equations-Analysis And Computations. 2021. DOI : 10.1007/s40072-020-00177-4.* Wavelet-Fourier CORSING techniques for multidimensional advection-diffusion-reaction equations
IMA Journal of Numerical Analysis. 2021. DOI : 10.1093/imanum/draa036.* Multilevel ensemble Kalman filtering for spatio-temporal processes
Numerische Mathematik. 2021. DOI : 10.1007/s00211-020-01159-3.* PDE-Constrained Optimal Control Problems with Uncertain Parameters using SAGA
SIAM/ASA Journal on Uncertainty Quantification. 2021. DOI : 10.1137/18M1224076.* Frequency-Domain Non-intrusive Greedy Model Order Reduction Based on Minimal Rational Approximation
2021. 13th International Conference on Scientific Computing in Electrical Engineering (SCEE), Eindhoven, NETHERLANDS, Feb 16-20, 2020. p. 159 - 167. DOI : 10.1007/978-3-030-84238-3_16.* Integration of activation maps of epicardial veins in computational cardiac electrophysiology
Computers In Biology And Medicine. 2020. DOI : 10.1016/j.compbiomed.2020.104047.* MATHICSE Technical Report: Non-intrusive double-greedy parametric model reduction by interpolation of frequency-domain rational surrogates
2020* MATHICSE Technical Report : Fast approximation by periodic kernel-based lattice-point interpolation with application in uncertainty quantification
2020* MATHICSE Technical Report: Stability properties of a projector-splitting scheme for the dynamical low rank approximation of random parabolic equations
2020* MATHICSE Technical Report : Regularity and sparse approximation of the recursive first moment equations for the lognormal Darcy problem
2020* MATHICSE Technical Report : Generalized Parallel Tempering on Bayesian Inverse Problems
2020* MATHICSE Technical Report : Frequency-domain non-intrusive greedy Model Order Reduction based on minimal rational approximation
2020* Frequency-domain non-intrusive greedy Model Order Reduction based on minimal rational approximation
13th International Conference on Scientific Computing in Electrical Engineering, Eindhoven, Netherlands, February 16-20, 2020.* MATHICSE Technical Report: Existence of dynamical low rank approximations for random semi-linear evolutionary equations on the maximal interval
2020* MATHICSE Technical Report : Sparse Polynomial Chaos expansions using Variational Relevance Vector Machines
2020* MATHICSE Technical Report : A Multilevel Stochastic Gradient method for PDE-constrained Optimal Control Problems with uncertain parameters
2020* Quantifying uncertain system outputs via the multilevel Monte Carlo method — Part I: Central moment estimation
Journal of Computational Physics. 2020. DOI : 10.1016/j.jcp.2020.109466.* Regularity and sparse approximation of the recursive first moment equations for the lognormal Darcy problem
Computers & Mathematics with Applications. 2020. DOI : 10.1016/j.camwa.2020.10.014.* Multilevel weighted least squares polynomial approximation
ESAIM: Mathematical Modelling and Numerical Analysis. 2020. DOI : 10.1051/m2an/2019045.* Fast Least-Squares Padé approximation of problems with normal operators and meromorphic structure
Mathematics of Computation. 2020. DOI : 10.1090/mcom/3511.* Least-Squares Padé approximation of parametric and stochastic Helmholtz maps
Advances in Computational Mathematics. 2020. DOI : 10.1007/s10444-020-09749-3.* Symplectic dynamical low rank approximation of wave equations with random parameters
BIT Numerical Mathematics. 2020. DOI : 10.1007/s10543-020-00811-6.* Sparse Polynomial Chaos expansions using variational relevance vector machines
Journal of Computational Physics. 2020. DOI : 10.1016/j.jcp.2020.109498.* MATHICSE Technical Report : Function integration, reconstruction and approximation using rank-1 lattices
2019* MATHICSE Technical Report: A posteriori error estimation for the stochastic collocation finite element approximation of the heat equation with random coefficients
2019* Modeling spatially dependent functional data via regression with differential regularization
Journal of Multivariate Analysis. 2019. DOI : 10.1016/j.jmva.2018.09.006.* Quantifying uncertainties in contact mechanics of rough surfaces using the multilevel Monte Carlo method
International Journal of Engineering Science. 2019. DOI : 10.1016/j.ijengsci.2019.02.003.* Continuation Multilevel Monte Carlo Evolutionary Algorithm for Robust Aerodynamic Shape Design
Journal of Aircraft. 2019. DOI : 10.2514/1.C035054.* Stochastic approximation methods for PDE constrained optimal control problems with uncertain parameters
Lausanne, EPFL, 2019. DOI : 10.5075/epfl-thesis-7233.* MATHICSE Technical Report : Quantifying uncertainties in contact mechanics of rough surfaces using the Multilevel Monte Carlo method
2018* MATHICSE Technical Report : A continuation-multilevel Monte Carlo evolutionary algorithm for robust aerodynamic shape design
2018* MATHICSE Technical Report : Analysis of stochastic gradient methods for PDE-constrained optimal control problems with uncertain parameters
2018* MATHICSE Technical Report : Modelling spatially dependent functional data via regression with differential regularization
2018* Convergence analysis of Padé approximations for Helmholtz frequency response problems
ESAIM: Mathematical Modelling and Numerical Analysis. 2018. DOI : 10.1051/m2an/2017050.* Multilevel Monte Carlo Approximation of Functions
SIAM/ASA Journal on Uncertainty Quantification. 2018. DOI : 10.1137/17M1135566.* Sparse approximation of multilinear problems with applications to kernel-based methods in UQ
Numerische Mathematik. 2018. DOI : 10.1007/s00211-017-0932-4.* Uncertainty Quantification of geochemical and mechanical compaction in layered sedimentary basins
Computer Methods in Applied Mechanics and Engineering. 2018. DOI : 10.1016/j.cma.2017.08.049.* A theoretical study of COmpRessed SolvING for advection-diffusion-reaction problems
Mathematics of Computation. 2018. DOI : 10.1090/mcom/3209.* A Posteriori Error Estimation for the Stochastic Collocation Finite Element Method
SIAM Journal on Numerical Analysis. 2018. DOI : 10.1137/17M1155454.* Dual Dynamically Orthogonal approximation of incompressible Navier Stokes equations with random boundary conditions
Journal of Computational Physics. 2018. DOI : 10.1016/j.jcp.2017.09.061.* MATHICSE Technical Report : A posteriori error estimation for the stochastic collocation finite element method
2017* MATHICSE Technical Report : Multilevel ensemble Kalman filtering for spatio-temporal processes
2017* MATHICSE Technical Report : Multilevel weighted least squares polynomial approximation
2017* MATHICSE Technical Report : Symplectic dynamical low rank approximation of wave equations with random parameters
2017* MATHICSE Technical Report : Quantifying uncertain system outputs via the multilevel Monte Carlo method – Part I: Central moment estimation
2017* MATHICSE Technical Report : Continuation Multi-Level Monte-Carlo method for Uncertainty Quantification in Turbulent Compressible Aerodynamics Problems modeled by RANS
2017* MATHICSE Technical Report : Multilevel Monte Carlo approximation of functions
2017* A posteriori error estimation for the steady Navier-Stokes equations in random domains
Computer Methods in Applied Mechanics and Engineering. 2017. DOI : 10.1016/j.cma.2016.10.008.* A Multilevel Monte Carlo Evolutionary Algorithm for Robust Aerodynamic Shape Design
2017. 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Denver, Colorado, USA, 5-9 June 2017. DOI : 10.2514/6.2017-3329.* MATHICSE Technical Report : Dual dynamically orthogonal approximation of incompressible Navier Stokes equations with random boundary conditions
2017* Dynamical Low Rank approximation of PDEs with random parameters
Lausanne, EPFL, 2017. DOI : 10.5075/epfl-thesis-7813.* Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension
Constructive Approximation. 2017. DOI : 10.1007/s00365-017-9364-8.* A Continuation Multi Level Monte Carlo (C-MLMC) method for uncertainty quantification in compressible inviscid aerodynamics
Computer Methods in Applied Mechanics and Engineering. 2017. DOI : 10.1016/j.cma.2017.07.030.* On uncertainty quantification in hydrogeology and hydrogeophysics
Advances in Water Resources. 2017. DOI : 10.1016/j.advwatres.2017.10.014.* Multi Level Monte Carlo Methods for Uncertainty Quantification and Robust Design Optimization in Aerodynamics
Lausanne, EPFL, 2017. DOI : 10.5075/epfl-thesis-8082.* MATHICSE Technical Report : A continuation multi level Monte Carlo (C-MLMC) method for uncertainty quantification in compressible aerodynamics
2016* MATHICSE Technical Report :Convergence analysis of Padé approximations for Helmholtz frequency response problems
2016* MATHICSE Technical Report : A posteriori error estimation for the steady Navier-Stokes equations in random domains
2016* A posteriori error estimation for partial differential equations with random input data
Lausanne, EPFL, 2016. DOI : 10.5075/epfl-thesis-7260.* Multi-index Monte Carlo: when sparsity meets sampling
Numerische Mathematik. 2016. DOI : 10.1007/s00211-015-0734-5.* An Adaptive Sparse Grid Algorithm for Elliptic PDEs with Lognormal Diffusion Coefficient
Sparse Grids and Applications - Stuttgart 2014; Berlin: Springer, 2016. p. 191 - 220.* Multi-index stochastic collocation convergence rates for random PDEs with parametric regularity
Foundations of Computational Mathematics. 2016. DOI : 10.1007/s10208-016-9327-7.* Convergence of quasi-optimal sparse-grid approximation of Hilbert-space-valued functions: application to random elliptic PDEs
Numerische Mathematik. 2016. DOI : 10.1007/s00211-015-0773-y.* Numerical Approximation of Flows in Random Porous Media
Lausanne, EPFL, 2016. DOI : 10.5075/epfl-thesis-6860.* Analytic regularity and collocation approximation for elliptic PDEs with Random domain deformations
Computers and Mathematics with Applications. 2016. DOI : 10.1016/j.camwa.2016.01.005.* A Multi Level Monte Carlo Algorithm for the Treatment of Geometrical and Operational Uncertainties in Internal and External Aerodynamics
2016. AIAA Aviation - 46th AIAA Fluid Dynamics Conference, Washington, D.C, 13-17 June 2016. DOI : 10.2514/6.2016-4398.* A posteriori error estimations for elliptic partial differential equations with small uncertainties
Numerical Methods for Partial Differential Equations. 2016. DOI : 10.1002/num.21991.* Efficient approximation of the contact area between rough surfaces
Engineering Mechanics Institute International Conference, Metz, France, October 25-27, 2016.* Tensor train approximation of moment equations for elliptic equations with lognormal coefficient
Computer Methods in Applied Mechanics and Engineering. 2016. DOI : 10.1016/j.cma.2016.05.026.* Numerical methods for random and stochastic partial differential equations
Stochastics and Partial Differential Equations Analysis and Computations. 2016. DOI : 10.1007/s40072-016-0073-2.* Multi-index Stochastic Collocation for random PDEs
Computer Methods in Applied Mechanics and Engineering. 2016. DOI : 10.1016/j.cma.2016.03.029.* Optimization of mesh hierarchies in multilevel Monte Carlo samplers
Stochastic Partial Differential Equations: Analysis and Computations. 2016. DOI : 10.1007/s40072-015-0049-7.* MATHICSE Technical Report : Multi-index stochastic collocation convergence rates for random PDEs with parametric regularity
2015* MATHICSE Technical Report : Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension
2015* MATHICSE Technical Report : Multi-index stochastic collocation for random PDEs
2015* MATHICSE Technical Report : A theoretical study of COmpRessed SolvING for advection-diffusion-reaction problems
2015* MATHICSE Technical Report : Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points
2015* MATHICSE Technical Report : An adaptive sparse grid algorithm for elliptic PDEs with lognormal diffusion coefficient
2015* MATHICSE Technical Report : Analysis of discrete least squares on multivariate polynomial spaces with evaluations at low-discrepancy point sets
2015* Discrete least squares polynomial approximation with random evaluations − application to parametric and stochastic elliptic PDEs
ESAIM: Mathematical Modelling and Numerical Analysis. 2015. DOI : 10.1051/m2an/2014050.* Analysis of discrete least squares on multivariate polynomial spaces with evaluations at low-discrepancy point sets
Journal of Complexity. 2015. DOI : 10.1016/j.jco.2015.02.001.* Blood flow velocity field estimation via spatial regression with PDE penalization
Journal of the American Statistical Association. 2015. DOI : 10.1080/01621459.2014.946036.* Comparison of Clenshaw-Curtis and Leja Quasi-Optimal Sparse Grids for the Approximation of Random PDEs
2015. International Conference on Spectral and High-Order Methods 2014 (ICOSAHOM'14), Salt Lake City, June 23-27, 2014. p. 475 - 482. DOI : 10.1007/978-3-319-19800-2_44.* Low-rank tensor approximation for high-order correlation functions of Gaussian random fields
SIAM/ASA Journal of Uncertainty Quantification. 2015. DOI : 10.1137/140968938.* Numerical Mathematics and Advanced Applications - ENUMATH 2013
2015* Error Analysis of the Dynamically Orthogonal Approximation of Time Dependent Random PDEs
Siam Journal on Scientific Computing. 2015. DOI : 10.1137/140967787.* 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.* Analysis and Computation of Hyperbolic PDEs with Random Data
Encyclopedia of Applied and Computational Mathematics; 2015. p. 51 - 58.* A Multi Level Monte Carlo Method with Control Variate for elliptic PDEs with log-normal coefficients
Stochastic Partial Differential Equations: Analysis and Computations. 2015. DOI : 10.1007/s40072-015-0055-9.* Numerical Methods For Uncertainty Quantification
International Journal For Uncertainty Quantification. 2015. DOI : 10.1615/Int.J.UncertaintyQuantification.2015014190.* A continuation multilevel Monte Carlo algorithm
BIT Numerical Mathematics. 2015. DOI : 10.1007/s10543-014-0511-3.* Analysis and computation of the elastic wave equation with random coefficients
Computers and Mathematics with Applications. 2015. DOI : 10.1016/j.camwa.2015.09.013.* An effective algorithm for the generation of patient-specific Purkinje networks in computational electrocardiology
Journal Of Computational Physics. 2015. DOI : 10.1016/j.jcp.2014.11.043.* Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points
Journal of Multivariate Analysis. 2015. DOI : 10.1016/j.jmva.2015.08.009.* MATHICSE Technical Report : A multi level Monte Carlo method with control variate for elliptic PDEs with log-normal coefficients
2014* MATHICSE Technical Report : Discrete least squares polynomial approximation with random evaluations – application to parametric and stochastic elliptic PDES
2014* MATHICSE Technical Report : Comparison of Clenshaw-Curtis and Leja quasi-optimal sparse grids for the approximation of random PDEs
2014* MATHICSE Technical Report : Tensor train approximation of moment equations for the log-normal Darcy problem
2014* MATHICSE Technical Report : Convergence of quasi-optimal sparse grid approximation of Hilbert-valued functions: application to random elliptic PDEs
2014* MATHICSE Technical Report : A posteriori error estimations for elliptic partial differential equations with small uncertainties
2014* MATHICSE Technical Report : Multi index Monte Carlo: when sparsity meets sampling
2014* MATHICSE Technical Report : Low-rank tensor approximation for high-order correlation functions of Gaussian random fields
2014* MATHICSE Technical Report : On the dynamically orthogonal approximation of time dependent random PDEs
2014* MATHICSE Technical Report : Optimization of mesh hierarchies in multilevel Monte Carlo samplers
2014* MATHICSE Technical Report : A continuation multilevel Monte Carlo algorithm
2014* Patient-specific generation of the Purkinje network driven by clinical measurements of a normal propagation
Medical & Biological Engineering & Computing. 2014. DOI : 10.1007/s11517-014-1183-5.* Analysis of Discrete L2 Projection on Polynomial Spaces with Random Evaluations
Foundations of Computational Mathematics. 2014. DOI : 10.1007/s10208-013-9186-4.* Inexact accurate partitioned algorithms for fluid-structure interaction problems with finite elasticity in haemodynamics
Journal of Computational Physics. 2014. DOI : 10.1016/j.jcp.2014.05.020.* On the Connection between the Hamilton-Jacobi-Bellman and the Fokker-Planck Control Frameworks
Applied Mathematics. 2014. DOI : 10.4236/am.2014.516239.* Mixed Finite Elements for spatial regression with PDE penalization
SIAM/ASA Journal on Uncertainty Quantification. 2014. DOI : 10.1137/130925426.* A quasi-optimal sparse grids procedure for groundwater flows
2014. International Conference on Spectral and High-Order Methods 2012 (ICOSAHOM'12), Gammarth, Tunisia, June 25-29, 2012. p. 1 - 16. DOI : 10.1007/978-3-319-01601-6_1.* Moment equations for the mixed formulation of the Hodge Laplacian with stochastic loading term
IMA Journal of Numerical Analysis. 2014. DOI : 10.1093/imanum/drt041.* Perturbation analysis for the Darcy problem with log-normal permeability
SIAM/ASA Journal on Uncertainty Quantification. 2014. DOI : 10.1137/130949415.* Computational generation of the Purkinje network driven by clinical measurements: The case of pathological propagations
International Journal for Numerical Methods in Biomedical Engineering. 2014. DOI : 10.1002/cnm.2689.* Convergence of quasi-optimal Stochastic Galerkin methods for a class of PDES with random coefficients
Computers and Mathematics with Applications. 2014. DOI : 10.1016/j.camwa.2013.03.004.* MATHICSE Technical Report : Analytic regularity and collocation approximation for PDEs with random domain deformations
2013* MATHICSE Technical Report : Perturbation analysis for the Darcy problem with log-normal permeability
2013* A stochastic collocation method for the second order wave equation with a discontinuous random speed
Numerische Mathematik. 2013. DOI : 10.1007/s00211-012-0493-5.* Time accurate partitioned algorithms for the solution of fluid-structure interaction problems in haemodynamics
Computers & Fluids. 2013. DOI : 10.1016/j.compfluid.2013.07.031.* Approximation of Quantities of Interest in Stochastic PDEs by the Random Discrete $L^2$ Projection on Polynomial Spaces
SIAM Journal on Scientific Computing. 2013. DOI : 10.1137/120897109.* MATHICSE Technical Report : A quasi-optimal sparse grids procedure for groundwater flows
2012* MATHICSE Technical Report : Analysis and computation of the elastic wave equation with random coefficients
2012* MATHICSE Technical Report : Moment equations for the mixed formulation of the Hodge Laplacian with stochastic data
2012* MATHICSE Technical Report : Convergence of quasi-optimal stochastic Galerkin methods for a class of PDES with random coefficients
2012* MATHICSE Technical Report : Sparse spectral approximations for computing polynomial functionals
2012* MATHICSE Technical Report : Time accurate partitioned\ algorithms for the solution of fluid-structure\ interaction problems in haemodynamics
2012* Partitioned Algorithms for Fluid-Structure Interaction Problems in Haemodynamics
Milan Journal Of Mathematics. 2012. DOI : 10.1007/s00032-012-0194-7.* An active strain electromechanical model for cardiac tissue
International Journal for Numerical Methods in Biomedical Engineering. 2012. DOI : 10.1002/cnm.1468.* On the optimal polynomial approximation of stochastic PDEs by Galerkin and Collocation methods
Mathematical Models and Methods in Applied Sciences (M3AS). 2012. DOI : 10.1142/S0218202512500236.* Sparse spectral approximations for computing polynomial functionals
2012* MATHICSE Technical Report : Analysis of the discrete $L^2$ projection on polynomial spaces with random evaluations
2011* MATHICSE Technical Report : A stochastic collocation method for the second order wave equation with a discontiuous random speed
2011* Mathematical modelling for the evolution of aeolian dunes formed by a mixture of sands: entrainment-deposition formulation
Communications in Applied and Industrial Mathematics. 2011. DOI : 10.1685/journal.caim.377.* Electromechanical Coupling In Cardiac Dynamics: The Active Strain Approach
Siam Journal On Applied Mathematics. 2011. DOI : 10.1137/100788379.* Stochastic spectral Galerkin and collocation methods for PDEs with random coefficients: a numerical comparison
Spectral and high order methods for partial differential equations : selected papers from the ICOSAHOM ’09 Conference, June 22-26, Trondheim, Norway; Berlin: Springer, 2011. p. 43 - 62.* Trends in biomedical engineering: focus on Patient Specific Modeling and Life Support Systems
Journal Of Applied Biomaterials & Biomechanics. 2011. DOI : 10.5301/JABB.2011.8585.* A posteriori error estimator for model adaptivity in electrocardiology
Computer Methods In Applied Mechanics And Engineering. 2011. DOI : 10.1016/j.cma.2010.03.009.* Implementation of optimal Galerkin and Collocation approximations of PDEs with Random Coefficients
ESAIM Proceedings. 2011. DOI : 10.1051/proc/201133002.* A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data
Siam Review. 2010. DOI : 10.1137/100786356.* Analysis And Optimization Of Robin-Robin Partitioned Procedures In Fluid-Structure Interaction Problems
Siam Journal On Numerical Analysis. 2010. DOI : 10.1137/09076605X.* Coupling strategies for the numerical simulation of blood flow in deformable arteries by 3D and 1D models
Mathematical and Computer Modelling. 2009. DOI : 10.1016/j.mcm.2008.07.019.* Robin-Robin preconditioned Krylov methods for fluid-structure interaction problems
Computer Methods In Applied Mechanics And Engineering. 2009. DOI : 10.1016/j.cma.2009.04.004.* A model-based block-triangular preconditioner for the Bidomain system in electrocardiology
Journal Of Computational Physics. 2009. DOI : 10.1016/j.jcp.2009.01.034.* Analysis and implementation issues for the numerical approximation of parabolic equations with random coefficients
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING. 2009. DOI : 10.1002/nme.2656.* An effective fluid-structure interaction formulation for vascular dynamics by generalized Robin conditions
Siam Journal On Scientific Computing. 2008. DOI : 10.1137/060678439.* A sparse grid stochastic collocation method for partial differential equations with random input data
Siam Journal On Numerical Analysis. 2008. DOI : 10.1137/060663660.* An anisotropic sparse grid stochastic collocation method for partial differential equations with random input data
Siam Journal On Numerical Analysis. 2008. DOI : 10.1137/070680540.* Formulation of the static frame problem
Computer Methods In Applied Mechanics And Engineering. 2008. DOI : 10.1016/j.cma.2007.12.010.* Fluid-structure partitioned procedures based on Robin transmission conditions
Journal Of Computational Physics. 2008. DOI : 10.1016/j.jcp.2008.04.006.* A systematic approach to model validation based on Bayesian updates and prediction related rejection criteria
Computer Methods in Applied Mechanics and Engineering. 2008. DOI : 10.1016/j.cma.2007.08.031.* A stochastic collocation method for elliptic partial differential equations with random input data
Siam Journal On Numerical Analysis. 2007. DOI : 10.1137/050645142.* On the stability of the coupling of 3d and 1d fluid-structure interaction models for blood flow simulations
Esaim-Mathematical Modelling And Numerical Analysis-Modelisation Mathematique Et Analyse Numerique. 2007. DOI : 10.1051/m2an:2007039.* Reliability of computational science
Numerical Methods For Partial Differential Equations. 2007. DOI : 10.1002/num.20263.* Worst case scenario analysis for elliptic problems with uncertainty
Numerische Mathematik. 2005. DOI : 10.1007/s00211-005-0601-x.* Worst-case scenario analysis for elliptic PDEs with uncertainty
2005. EURODYN, Paris, September 4-7, 2005. p. 889 - 894.* Theory and methodology for estimation and control of errors due to modeling, approximation, and uncertainty
Computer Methods In Applied Mechanics And Engineering. 2005. DOI : 10.1016/j.cma.2003.06.003.* Added-mass effect in the design of partitioned algorithms for fluid-structure problems
Computer Methods In Applied Mechanics And Engineering. 2005. DOI : 10.1016/j.cma.2004.12.005.* Analysis of a subdomain-based error estimator for finite element approximations of elliptic problems
Numerical Methods for Partial Differential Equations. 2004. DOI : 10.1002/num.10082.* Stability analysis of second-order time accurate schemes for ALE-FEM
Computer Methods In Applied Mechanics And Engineering. 2004. DOI : 10.1016/j.cma.2003.09.028.* A posteriori error estimates for the finite element approximation of the Stokes problem
TICAM Report 03-13. 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.* Modified fixed point algorithm in fluid–structure interaction
Comptes rendus Mecanique. 2003. DOI : 10.1016/S1631-0721(03)00119-0.* A one-dimensional model for blood flow: Application to vascular prosthesis
2002. p. 137 - 153. DOI : 10.1007/978-3-642-56288-4_10.* Numerical treatment of defective boundary conditions for the Navier-Stokes equations
SIAM Journal on Numerical Analysis. 2002. DOI : 10.1137/S003614290038296X.* Numerical approximation of fluid-structure interaction problems with application to haemodynamics
Lausanne, EPFL, 2001. DOI : 10.5075/epfl-thesis-2458.* On the coupling of 3D and 1D Navier-Stokes equations for flow problems in compliant vessels
Computer Methods in Applied Mechanics and Engineering. 2001. DOI : 10.1016/S0045-7825(01)00302-4.* Advances on numerical modelling of blood flow problems
2001. ECCOMAS 2000.* A Stability Analysis for the Arbitrary Lagrangian Eulerian Formulation with Finite Elements
East-West Journal of Numerical Mathematics. 1999.* Fluid structure interaction in blood flow problems
1999. GAMM meeting, Bremen, 1998. p. S255 - S258. DOI : 10.1002/zamm.19990791367.* Multiscale modelling of the circulatory system: a preliminary analysis
1999. p. 75 - 83. DOI : 10.1007/s007910050030.Teaching & PhD
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