World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
46
Citations
15135
World Ranking
1319
National Ranking
24

Engineering and Technology

D-Index
46
Citations
15181
World Ranking
5034
National Ranking
77

Overview

Fabio Nobile is affiliated with the École Polytechnique Fédérale de Lausanne in Switzerland. Their research spans multiple fields centered on engineering and decision sciences with a specific focus on statistics, probability, and uncertainty as well as computational mechanics and numerical analysis.

Their recent scholarly contributions have appeared in various scientific venues. Notable publications include:

  • Quantifying uncertain system outputs via the multilevel Monte Carlo method - Part I: Central moment estimation, 2020, Journal of Computational Physics
  • Complexity Analysis of stochastic gradient methods for PDE-constrained optimal Control Problems with uncertain parameters, 2021, ESAIM Mathematical Modelling and Numerical Analysis
  • Sparse Polynomial Chaos expansions using variational relevance vector machines, 2020, Journal of Computational Physics
  • Integration of activation maps of epicardial veins in computational cardiac electrophysiology, 2020, Computers in Biology and Medicine
  • Some first results on the consistency of spatial regression with partial differential equation regularization, 2020, Statistica Sinica

Fabio Nobile frequently collaborates with a core group of co-authors who have contributed to several joint works, including Tommaso Vanzan, Yoshihito Kazashi, Raúl Tempone, Davide Pradovera, and Thomas Trigo Trindade.

Their publications are regularly featured in multiple established outlets such as:

  • arXiv (Cornell University)
  • Infoscience (École Polytechnique Fédérale de Lausanne)
  • Zenodo (CERN European Organization for Nuclear Research)
  • SIAM/ASA Journal on Uncertainty Quantification
  • Numerische Mathematik

The scientist's research interests are concentrated around several main topics, including:

  • Probabilistic and Robust Engineering Design
  • Model Reduction and Neural Networks
  • Advanced Numerical Methods in Computational Mathematics
  • Mathematical Approximation and Integration
  • Advanced Mathematical Modeling in Engineering
  • Sparse and Compressive Sensing Techniques
  • Image and Signal Denoising Methods

Their work blends theoretical development and computational applications, often addressing uncertainty quantification, advanced statistical techniques, and the computational challenges in engineering and applied mathematics.

Best Publications

  • A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data

    Ivo Babus caron;ka;Fabio Nobile;Rau´l Tempone

  • A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data

    Ivo Babuška;Fabio Nobile;Raúl Tempone

  • A Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data

    F. Nobile;R. Tempone;C. G. Webster

  • Added-mass effect in the design of partitioned algorithms for fluid-structure problems

    Paola Causin;Jean-Frédéric Gerbeau;Fabio Nobile

  • On the coupling of 3D and 1D Navier-Stokes equations for flow problems in compliant vessels

    Luca Formaggia;Jean Frédéric Gerbeau;Fabio Nobile;Alfio Quarteroni;Alfio Quarteroni

  • An Anisotropic Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data

    F. Nobile;R. Tempone;C. G. Webster

  • Numerical approximation of fluid-structure interaction problems with application to haemodynamics

    Fabio Nobile

  • Multiscale Modelling of the Circulatory System: a Preliminary Analysis

    Luca Formaggia;Fabio Nobile;Alfio Quarteroni;Alessandro Veneziani

  • Numerical Treatment of Defective Boundary Conditions for the Navier--Stokes Equations

    L. Formaggia;J.-F. Gerbeau;F. Nobile;A. Quarteroni

  • Fluid-structure partitioned procedures based on Robin transmission conditions

    Santiago Badia;Fabio Nobile;Christian Vergara

  • A Stability Analysis for the Arbitrary Lagrangian Eulerian Formulation with Finite Elements

    Luca Formaggia;Fabio Nobile

  • An Effective Fluid-Structure Interaction Formulation for Vascular Dynamics by Generalized Robin Conditions

    F. Nobile;C. Vergara

  • Stochastic Spectral Galerkin and Collocation Methods for PDEs with Random Coefficients: A Numerical Comparison

    Joakim Bäck;Fabio Nobile;Lorenzo Tamellini;Raul Tempone

  • Stability analysis of second-order time accurate schemes for ALE-FEM

    Luca Formaggia;Fabio Nobile

  • Multi-index Monte Carlo: when sparsity meets sampling

    Abdul-Lateef Haji-Ali;Fabio Nobile;Raúl Tempone

  • ON THE OPTIMAL POLYNOMIAL APPROXIMATION OF STOCHASTIC PDES BY GALERKIN AND COLLOCATION METHODS

    Joakim Beck;Raul Tempone;Fabio Nobile;Fabio Nobile;Lorenzo Tamellini

  • Robin-Robin preconditioned Krylov methods for fluid-structure interaction problems

    Santiago Badia;Fabio Nobile;Christian Vergara

  • A continuation multilevel Monte Carlo algorithm

    Nathan Collier;Abdul-Lateef Haji-Ali;Fabio Nobile;Erik von Schwerin

  • Discrete least squares polynomial approximation with random evaluations − application to parametric and stochastic elliptic PDEs

    Abdellah Chkifa;Albert Cohen;Giovanni Migliorati;Fabio Nobile

  • Analysis and implementation issues for the numerical approximation of parabolic equations with random coefficients

    Fabio Nobile;Raul Tempone;Raul Tempone

  • On uncertainty quantification in hydrogeology and hydrogeophysics

    Niklas Linde;David Ginsbourger;David Ginsbourger;James Irving;Fabio Nobile

Frequent Co-Authors

Raul Tempone
Raul Tempone King Abdullah University of Science and Technology
Alfio Quarteroni
Alfio Quarteroni Polytechnic University of Milan
Luca Formaggia
Luca Formaggia Polytechnic University of Milan
Ivo Babuška
Ivo Babuška The University of Texas at Austin
Daniel Kressner
Daniel Kressner École Polytechnique Fédérale de Lausanne
Alessandro Veneziani
Alessandro Veneziani Emory University
Ilaria Perugia
Ilaria Perugia University of Vienna
J. T. Oden
J. T. Oden The University of Texas at Austin
Jean-Frédéric Gerbeau
Jean-Frédéric Gerbeau French Institute for Research in Computer Science and Automation - INRIA
James C. Browne
James C. Browne The University of Texas at Austin

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