Editorial Team
Journal Managers
Iulia Martina Bulai - University of Sassari
Roberto Cavoretto - University of Torino
Alberto Viscardi - University of Torino
Editors-in-Chief
Roberto Cavoretto - University of Torino
Alessandra De Rossi - University of Torino
Francesco Dell'Accio - University of Calabria
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)