Andrea Medaglia

Control of Overpopulated Tails in Kinetic Epidemic Models 

Mattia Zanella and Andrea Medaglia. 

Preprint arXiv, 2025

https://arxiv.org/pdf/2501.05365

Uncertainty Quantification for the Homogeneous Landau-Fokker-Planck Equation via Deterministic Particle Galerkin methods 

R. Bailo, J. A. Carrillo, A. M., and M. Zanella. 

Multiscale Modeling and Simulation. In press.

https://arxiv.org/pdf/2312.07218v1

Particle simulation methods for the Landau-Fokker-Planck equation with uncertain data

A. M., L. Pareschi, and M. Zanella. 

Journal of Computational Physics, 503 (2024), 112845.

https://doi.org/10.1016/j.jcp.2024.112845

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

J. Franceschi, A. M., and M. Zanella. 

Optimal Control Applications and Methods, 1-29 (2023).

https://doi.org/10.1002/oca.3029

Stochastic Galerkin particle methods for kinetic equations of plasmas with uncertainties

A. M., L. Pareschi, and M. Zanella. 

Journal of Computational Physics, 479 (2023), 112011.

https://doi.org/10.1016/j.jcp.2023.112011

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

A. M., A. Tosin and M. Zanella.

Partial Differential Equations and Applications, 3, 51 (2022).

https://doi.org/10.1007/s42985-022-00189-w

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

A. M., G. Colelli, L. Farina, A. Bacila, P. Bini, E. Marchioni, S. Figini, A. Pichiecchio, and M. Zanella. 

International Journal of Non-Linear Mechanics, 141 (2022), 103933.

https://doi.org/10.1016/j.ijnonlinmec.2022.103933