# 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)