Editorial Team

Journal Managers

Roberto Cavoretto - University of Torino 

Alberto Viscardi - University of Torino 

 

Editors-in-Chief 

Roberto Cavoretto - University of Torino 

Francesco Dell'Accio - University of Calabria

Alessandra De Rossi - University of Torino 

Alvise Sommariva - University of Padova

Marco Vianello - University of Padova

 

Associate Editors

Ben Adcock - Simon Fraser University, Vancouver
(numerical analysis, mathematics of data science, approximation theory, machine learning, computational harmonic analysis)

Edoardo Artioli - University of Modena and Reggio Emilia
(computational mechanics, virtual element method)

Marco Caliari - University of Verona
(approximation of matrix functions, exponential integrators) 

Maria Carmela De Bonis - University of Basilicata
(numerical methods for integral equations and approximation of integral transforms)

Josef Dick - UNSW Sydney
(quasi-Monte Carlo methods, PDEs with random coefficients, discrepancy theory, point distributions on the sphere)

Greg Fasshauer - Colorado School of Mines, Golden
(kernel-based approximation, meshless methods, radial basis functions)

Michael Feischl - TU Wien
(adaptive mesh refinement, PDEs with random coefficients, computational micromagnetism, mathematics of deep learning)

Elisa Francomano - University of Palermo
(computational electromagnetics, approximation by radial basis functions, neuro-imaging)

Stuart Hawkins - Macquarie University, Sydney
(wave scattering, multiple scattering, inverse scattering, uncertainty quantification)

Alfa Heryudono - University of Massachusetts Dartmouth
(radial basis functions, spectral and pseudospectral methods, space-time collocation, adaptive schemes)

Stefan Kunis - University of Osnabrueck
(numerical harmonic/Fourier analysis, numerical linear and nonlinear algebra for approximation)

Alessandro Languasco - University of Padova
(computational number theory, computation of special functions) 

Elisabeth Larsson - Uppsala University
(numerical methods for partial differential equations, radial basis functions, high performance computing, computational finance, biomechanics, parallel programming) 

Paul Leopardi - ACCESS-NRI, The Australian National University, Canberra
(approximation and quadrature on the sphere and compact manifolds, numerical Clifford analysis) 

Victor Magron - LAAS-CNR, Toulouse
(polynomial and moment optimization) 

Fabio Marcuzzi - University of Padova
(numerical linear algebra for approximation, sparse recovery and learning, computational inverse problems, GPU computing) 

Akil Narayan - University of Utah, Salt Lake City
(polynomial approximation, reduced order modeling, uncertainty quantification, probabilistic and randomized methods)

Paolo Novati - University of Trieste
(fractional calculus, functions of operators, inverse problems) 

Dirk Nuyens - KU Leuven
(high-dimensional quadrature and approximation methods, quasi-Monte Carlo methods)

Paolo Panarese - Mathworks, Torino
(machine learning, deep learning, reinforcement learning, predictive maintenance, Computational Mechanics,  Robotics)

Cécile Piret - Michigan Technological University, Houghton
(high-order numerical methods for fractional and partial differential equations, radial basis functions, computational fluid dynamics)

Lucia Romani - University of Bologna
(geometric modeling and numerical methods for CAGD, subdivision schemes, image analysis and segmentation)

Lorenzo Tamellini - CNR-IMATI, Pavia
(uncertainty quantification, surrogate modeling, multi-fidelity approximations, high-dimensional quadrature and approximation methods) 

Quoc Thong Le Gia - UNSW Sydney
(approximation on spheres and shells, meshless methods for direct and inverse problems, computational techniques for human vision)

Ezio Venturino - University of Torino
(numerical methods in biomathematics, population dynamics modeling) 

Holger Wendland - University of Bayreuth
(multivariate approximation theory with radial basis functions, kernel-based multilevel methods for high-dimensional approximation problems, meshfree methods for partial differential equations)