Mattia Zanella

Associate Professor

University of Pavia

Italy

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Mattia Zanella is an Associate Professor at the University of Pavia, Italy. His research encompasses areas such as consensus dynamics, network theory, and opinion formation phenomena, as evidenced by his recent publications. He explores the mathematical foundations of kinetic models and their applications in understanding complex systems including epidemic dynamics and vaccine hesitancy.

Articles (20)

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2025

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2022

Collaborators (7)

Andrea Medaglia

University of Oxford

UNITED KINGDOM

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Giuseppe Toscani

University of Pavia

ITALY

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Jose Antonio Carrillo

University of Oxford

UNITED KINGDOM

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Ferdinando Auricchio

Professor

Università degli Studi di Pavia

ITALY

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Jonathan Franceschi

University of Ferrara

ITALY

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Rafael Bailo

Prof. at Eindhoven University of Technology

Eindhoven University of Technology

NETHERLANDS

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Lorenzo Pareschi

Professore Ordinario

University of Ferrara

ITALY

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Mattia Zanella

Research Interests

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About

Articles (20)

Uncertainty Quantification for the Homogeneous Landau–Fokker–Planck Equation via Deterministic Particle Galerkin Methods

Emerging properties of the degree distribution in large non-growing networks

Supercritical Fokker-Planck equations for consensus dynamics: large-time behaviour and weighted Nash-type inequalities

Lotka–Volterra-type kinetic equations for interacting species

Impact of Opinion Formation Phenomena in Epidemic Dynamics: Kinetic Modeling on Networks

From integro-differential models to data-oriented approaches for emergent phenomena

Understanding the Impact of Evaluation Metrics in Kinetic Models for Consensus-Based Segmentation

Kinetic compartmental models driven by opinion dynamics: Vaccine hesitancy and social influence

Reduced Variance Random Batch Methods for Nonlocal PDEs

Micro-Macro Stochastic Galerkin Methods for Nonlinear Fokker–Planck Equations with Random Inputs

Trends to equilibrium for a nonlocal Fokker–Planck equation

On the optimal control of kinetic epidemic models with uncertain social features

Kinetic Models for Epidemic Dynamics in the Presence of Opinion Polarization

Stochastic Galerkin particle methods for kinetic equations of plasmas with uncertainties

Monte Carlo stochastic Galerkin methods for non-Maxwellian kinetic models of multiagent systems with uncertainties

Optimal control of epidemic spreading in the presence of social heterogeneity

Uncertainty quantification and control of kinetic models of tumour growth under clinical uncertainties

Kinetic-controlled hydrodynamics for multilane traffic models

A multi-agent description of the influence of higher education on social stratification

Effects of Vaccination Efficacy on Wealth Distribution in Kinetic Epidemic Models

Collaborators (7)

Andrea Medaglia

Giuseppe Toscani

Jose Antonio Carrillo

Ferdinando Auricchio

Jonathan Franceschi

Rafael Bailo

Lorenzo Pareschi

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