Centro di Modellistica, Calcolo e Statistica

Lorenzo Pareschi

brgmtt — 2021-04-27T15:33:44Z

Membro del consiglio scientifico

Università: Università degli Studi di Ferrara

Carica: professore ordinario

E-mail: lorenzo.pareschi@unife.it

Tematiche di ricerca: Applicazioni reali delle PDEs - Equazioni cinetiche - Metodi numerici - Modellazione socio-economica - Quantificazione dell'incertezza.

Alcune pubblicazioni:

M. Herty, L. Pareschi, G. Visconti. Mean field models for large data-clustering problems. Networks and Heterogeneous Media, vol. 15, pp. 463–487, 2020;

M. Herty, L. Pareschi, G. Visconti. Mean field models for large data-clustering problems. Networks and Heterogeneous Media, vol. 15, pp. 463–487, 2020;

G. Albi, N. Bellomo, L. Fermo, S.Y. Ha, J. Kim, L. Pareschi, D. Poyato, J. Soler. Vehicular traffic, crowds, and swarms: from kinetic theory and multiscale methods to applications and research perspectives. Mathematical Model and Methods in Applied Sciences, vol. 29, pp. 1901–2005, 2019;

G. Dimarco, L. Pareschi. Numerical Methods for Kinetic Equations. Acta Numerica, vol. 23, pp. 369-520, 2014.

S. Cordier, L. Pareschi, G. Toscani. On a kinetic model for a simple market economy. Journal of Statistical Physics, vol. 120, pp. 253-277, 2005;
L. Pareschi, G. Russo. Implicit–explicit Runge–Kutta schemes and applications to hyperbolic systems with relaxation. Journal of Scientific computing, vol. 25, pp. 129-155, 2005.

Walter Boscheri

brgmtt — 2021-04-27T16:23:04Z

Membro del CMCS

Università: Università degli Studi di Ferrara

Carica: professore

E-mail: walter.boscheri@unife.it

Pagina web

Tematiche di ricerca: Meccanica computazionale dei fluidi e dei solidi - Metodi numerici ad alto ordine: Volumi finiti e DG - Griglie non strutturate - Schemi Lagrangiani - Asymptotic and structure preserving methods.

Alcune pubblicazioni:

W. Boscheri, L. Pareschi. High order pressure-based semi-implicit IMEX schemes for the 3D Navier-Stokes equations at all Mach numbers. Journal of Computational Physics, vol. 434, art. 110206, 2020;

W. Boscheri, G. Dimarco. High order central WENO-Implicit-Explicit Runge Kutta schemes for the BGK model on general polygonal meshes. Journal of Computational Physics, vol. 422, art. 109766, 2020;

W. Boscheri. A space-time semi-Lagrangian advection scheme on staggered Voronoi meshes applied to free surface flows. Computers & Fluids, vol. 202, art. 104503, 2020;

W. Boscheri. An efficient high order direct ALE ADER finite volume scheme with a posteriori limiting for hydrodynamics and magnetohydrodynamics. International Journal for Numerical Methods in Fluids, vol. 84, pp. 76-106, 2017;

W. Boscheri, R. Loubère. High Order Accurate Direct Arbitrary-Lagrangian-Eulerian ADER-MOOD Finite Volume Schemes for Non-Conservative Hyperbolic Systems with Stiff Source Terms. Communications in Computational Physics, vol. 21, pp. 271–312, 2017;

W. Boscheri. High Order Direct Arbitrary-Lagrangian–Eulerian (ALE) Finite Volume Schemes for Hyperbolic Systems on Unstructured Meshes. Archives of Computational Methods in Engineering, vol. 24, pp. 751-801, 2017;

W. Boscheri, M. Dumbser. High order accurate direct Arbitrary-Lagrangian-Eulerian ADER-WENO finite volume schemes on moving curvilinear unstructured meshes. Computers & Fluids, vol. 136, pp. 48–66, 2016.

W. Boscheri, D. S. Balsara, M. Dumbser. Lagrangian ADER-WENO finite volume schemes on unstructured triangular meshes based on genuinely multidimensional HLL Riemann solvers. Journal of Computational Physics, vol. 267, pp. 112–138, 2014.

Mattia Zanella

brgmtt — 2021-04-27T16:25:06Z

Membro del CMCS

Università: Università degli Studi di Pavia

Carica: professore

E-mail: mattia.zanella@unipv.it

Pagina web

Tematiche di ricerca: Modelli cinetici - Quantificazione dell'incertezza - Fenomeni collettivi.

Alcune pubblicazioni:

L. Preziosi, G. Toscani, M. Zanella. Control of tumor growth distributions through kinetic methods. Journal of Theoretical Biology, vol. 514, art. 110579, 2021;

L. Pareschi, M. Zanella. Monte Carlo stochastic Galerkin methods for the Boltzmann equation with uncertainties: space-homogeneous case. Journal of Computational Physics, vol. 423, art. 109822, 2020;

B. Piccoli, A. Tosin, M. Zanella. Model-based assessment of the impact of driver-assist vehicles using kinetic theory. Zeitschrift für Angewandte Mathematik und Physik, vol. 71, Art. 152, 2020;

J. A. Carrillo, L. Pareschi, M. Zanella. Particle based gPC methods for mean-field models of swarming with uncertainty. Communications in Computational Physics, vol. 25, pp. 508-531, 2019;

L. Pareschi, M. Zanella. Structure preserving schemes for nonlinear Fokker-Planck equations and applications. Journal of Scientific Computing, vol. 74, pp. 1575-1600, 2018.

Michael Dumbser

brgmtt — 2021-04-17T15:04:53Z

Unknown position

Università:

Carica:

E-mail:

Pagina web

Tematiche di ricerca:

Stefano Bonnini

brgmtt — 2021-04-27T16:18:01Z

Membro del consiglio direttivo

Università: Università degli Studi di Ferrara

Carica: professore associato

E-mail: stefano.bonnini@unife.it

Pagina web

Tematiche di ricerca: Statistica multivariata - Test di permutazione - Indicatori compositi - Test di permutazione combinati - Test multipli.

Alcune pubblicazioni:

R. Alfieri, S. Bonnini, C. Brombin, C. Castoro, L. Salmaso. Iterated combination-based paired permutation tests to determine shape effects of chemotherapy in patients with esophageal cancer. Statistical Methods in Medical research, vol. 25, pp. 598-614, 2016;
S. Bonnini. Multivariate approach for comparative evaluations of customer satisfaction with application to transport services. Communication in Statistics: Simulation and Computation, vol. 45, pp. 1554-1568, 2016;
G.R. Arboretti, S. Bonnini, L. Corain, D. Vidotto. Environmental Odor Perception: testing regional differences on heterogeneity with application to odor perceptions in the area of Este (Italy). Environmetrics, vol. 26, pp. 418-430, 2015;
G.R. Arboretti, S. Bonnini, L. Corain, L. Salmaso. A Permutation Approach for Ranking of Multivariate Populations. Journal of Multivariate Analysis, vol. 132, pp. 39-57, 2014;
S. Bonnini. Testing for heterogeneity with categorical data: permutation solution vs. bootstrap method. Communication in Statistics: Theory and Methods, vol. 43, pp. 906-917, 2014;
G.R. Arboretti, S. Bonnini, F. Pesarin. A permutation approach for testing heterogeneity in two-sample problems. Statistics and Computing, vol. 19, pp. 209-216, 2009.

Guido Sciavicco

brgmtt — 2021-04-27T15:57:02Z

Membro del consiglio direttivo

Università: Università degli Studi di Ferrara

Carica: professore associato

E-mail: guido.sciavicco@unife.it

Pagina web

Tematiche di ricerca: Apprendimento automatico simbolico - Logica matematica - Applicazioni dell'intelligenza artificiale - Analisi intelligente dei dati.

Alcune pubblicazioni:

J. Kamínska, E. Lucena-Sánchez, G. Sciavicco. Temporal Aspects in Air Quality Modelling - A Case Study in Wroclaw. Air, Soil, and Water Research, vol. 13, 2020;

F. Jiménez, A. Paoletti, G. Sánchez, G. Sciavicco. Predicting the Risk of Academic Dropout with Temporal Multi-Objective Optimization. IEEE Transactions on Learning Technologies, vol. 12, pp. 225- 236, 2019;

M. Pelegrín, E. Muñoz-Velasco, P. Sala, G. Sciavicco, I.E. Stan. On Coarser Interval Temporal Logics. Artificial Intelligence, vol. 266, pp. 1- 26, 2019;

F. Jiménez, C. Martínez, L. Miralles, G. Sánchez, G. Sciavicco. Multi-Objective Evolutionary Rule-Based Classification with Categorical Data. Entropy, vol. 20, art. 684, 2018.

D. Bresolin, A. Kurucz, E. Muñoz-Velasco, V. Ryzhikov, G. Sciavicco, M. Zakharyaschev. Horn Fragments of the Halpern-Shoham Interval Temporal Logic. ACM Transactions of Computational Logic, vol. 18, art. 22, 2017.

Sara Grassi

brgmtt — 2021-04-27T16:36:01Z

Membro del CMCS

Università: Università degli Studi di Ferrara

Carica: dottoranda

E-mail: sara.grassi@unife.it

Tematiche di ricerca: Analisi Numerica - Swarm-based and Consensus-based methods for Global Optimization - Apprendimento Automatico.

Alcune pubblicazioni:

S. Grassi, L. Pareschi. From particle swarm optimization to consensus based optimization: stochastic modeling and mean-field limit. arXiv preprint arXiv:2012.05613, 2020.

Giulia Bertaglia

brgmtt — 2021-04-27T16:33:28Z

Membro del CMCS

Università: Università degli Studi di Ferrara

Carica: assegnista

E-mail: giulia.bertaglia@unife.it

Pagina web

Tematiche di ricerca: Matematica Applicata - Modellazione Matematica - Analisi Numerica - Fluidodinamica Computazionale - Biomatematica.

Alcune pubblicazioni:

G. Bertaglia, L. Pareschi. Hyperbolic models for the spread of epidemics on networks: kinetic description and numerical methods. ESAIM: Mathematical Modelling and Numerical Analysis, vol. 55, pp. 381-407, 2021;

G. Bertaglia, V. Caleffi, L. Pareschi, A. Valiani. Uncertainty quantification of viscoelastic parameters in arterial hemodynamics with the a-FSI blood flow model. Journal of Computational Physics, vol. 430, art. 110102, 2021;

G. Bertaglia, A. Navas-Montilla, A. Valiani, M.I. Monge Garcia, J. Murillo, V. Caleffi. Computational hemodynamics in arteries with the one-dimensional augmented fluid-structure interaction system: viscoelastic parameters estimation and comparison with in-vivo data. Journal of Biomechanics, vol. 100, art. 109595, 2020;

G. Bertaglia, V. Caleffi, A. Valiani. Modeling blood flow in viscoelastic vessels: the 1D augmented fluid-structure interaction system. Computer Methods in Applied Mechanics and Engineering, vol. 360, art. 112772, 2020;

G. Bertaglia, M. Ioriatti, A. Valiani, M. Dumbser, V. Caleffi. Numerical methods for hydraulic transients in visco-elastic pipes. Journal of Fluids and Structures, vol. 81, pp. 230- 254, 2018.

Valerio Caleffi

brgmtt — 2021-04-27T15:48:17Z

Membro del consiglio direttivo

Università: Università degli Studi di Ferrara

Carica: professore associato

E-mail: valerio.caleffi@unife.it

Pagina web

Tematiche di ricerca: Meccanica dei fluidi - Fluidodinamica computazionale - Emodinamica computazionale - Metodi numerici.

Alcune pubblicazioni:

G. Bertaglia, V. Caleffi, L. Pareschi, A. Valiani. Uncertainty quantification of viscoelastic parameters in arterial hemodynamics with the a-FSI blood flow model. Journal of Computational Physics, vol. 430, art. 110102, 2021;

G. Bertaglia, M. Ioriatti, A. Valiani, M. Dumbser, V. Caleffi. Numerical methods for hydraulic transients in visco-elastic pipes. Journal of Fluids and Structures, vol. 81, pp. 230- 254, 2018;