Membro del CMCS

Università: Università degli Studi di Ferrara

Carica: dottorando

E-mail: getnet.melakassegie@unife.it

Tematiche di ricerca: Longitudinal data analysis - Survival analysis - Time series analysis - Multivariate analysis - Statistical inference - nonparametric test - Permutation test - Industrial policy.

Alcune pubblicazioni:

• Assegie, Getnet Melak. "Modeling Volatility Spillovers from Developed Stock Markets to Selected African Stock Markets." ኢ ስ ታ ማመ: 1;
• Bonnini, Stefano, and Assegie Melak Getnet. "Permutation multivariate tests for treatment effect: theory and recent debelopments." SUSAN SSACAB 2019. The Biostatistics Research Unit of the South African Medical Research Council, 2019.

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Pagina web

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Membro del CMCS

Università: Università degli Studi di Verona

Carica: professore

E-mail: giacomo.albi@univr.it

Pagina web

Tematiche di ricerca: Kinetic modelling - Numerical methods - Optimal control - Non-local PDEs.

Alcune pubblicazioni:

• Implicit-explicit multistep methods for hyperbolic systems with multiscale relaxation, G. Albi, G. Dimarco, L. Pareschi, SIAM Journal on Scientific Computing 42 (4), A2402-A2435, 2020;
• Vehicular traffic, crowds, and swarms: from kinetic theory and multiscale methods to applications and research perspectives. G. Albi, N. Bellomo, L. Fermo, S.-Y. Ha, J. Kim,L. Pareschi, D. Poyato, J. Soler, Mathematical Model and Methods in Applied Sciences 29 (2019), no. 10, 1901–2005, 2019;
• Mean field control hierarchy, G Albi, Y.P. Choi, M Fornasier, D Kalise. Applied Mathematics & Optimization 76 (1), 93-135, 2017;
• Invisible control of self-organizing agents leaving unknown environments, G Albi, M Bongini, E Cristiani, D Kalise, SIAM Journal on Applied Mathematics 76 (4), 1683-1710, 2016;
• Kinetic description of optimal control problems and applications to opinion consensus. G. Albi, M. Herty, L. Pareschi. Communications in Mathematical Sciences, 13(6), 1407-1429, 2015.

Membro del CMCS

Università: Università degli Studi di Ferrara

Carica: professore ordinario

E-mail: lorenzo.pareschi@unife.it

Pagina web

Tematiche di ricerca: Applied PDEs - Kinetic equations - Numerical methods - Socio-economic modeling - Uncertainty quantification.

Alcune pubblicazioni:

• Herty, Michael; Pareschi, Lorenzo; Visconti, Giuseppe, Mean field models for large data-clustering problems. Networks and Heterogeneous Media 15 (2020), no. 3, 463–487. 82C40 (68W20 94A16);
• Trimborn, Torsten; Pareschi, Lorenzo; Frank, Martin, Portfolio optimization and model predictive control: a kinetic approach. Discrete and Continuous Dynamical Systems. Ser. B 24 (2019), no. 11,6209–6238;
• Albi, G.; Bellomo, N.; Fermo, L.; Ha, S.-Y.; Kim, J.; Pareschi, L.; Poyato, D.; Soler, J. Vehicular traffic, crowds, and swarms: from kinetic theory and multiscale methods to applications and research perspectives. Mathematical Model and Methods in Applied Sciences 29 (2019), no. 10, 1901–2005;
• Numerical methods for kinetic equations, Dimarco Giacomo, Pareschi Lorenzo, Acta Numerica, 369-520 (2014);
• On a kinetic model for a simple market economy, S. Cordier, L. Pareschi, G. Toscani, Journal of Statistical Physics 120 (1), 253-277 (2005);
• Implicit–explicit Runge–Kutta schemes and applications to hyperbolic systems with relaxation, Pareschi Lorenzo, Russo Giovanni, Journal of Scientific computing 25, 1, 129-155 (2005).

Membro del CMCS

Università: Università degli Studi di Ferrara

Carica: professore

E-mail: walter.boscheri@unife.it

Pagina web

Tematiche di ricerca:

Alcune pubblicazioni:

Membro del CMCS

Università: Università degli Studi di Pavia

Carica: professore

E-mail: mattia.zanella@unipv.it

Pagina web

Tematiche di ricerca: Kinetic models - Uncertainty quantification - Collective phenomena.

Alcune pubblicazioni:

• L. Preziosi, G. Toscani, M. Zanella. Control of tumor growth distributions through kinetic methods. Journal of Theoretical Biology, 514: 110579, 2021;
• L. Pareschi, M. Zanella. Monte Carlo stochastic Galerkin methods for the Boltzmann equation with uncertainties: space-homogeneous case. Journal of Computational Physics, 423: 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, 71:152, 2020;
• J. A. Carrillo, L. Pareschi, M. Zanella. Particle based gPC methods for mean-field models of swarming with uncertainty. Communications in Computational Physics, 25(2): 508-531, 2019;
• L. Pareschi, M. Zanella. Structure preserving schemes for nonlinear Fokker-Planck equations and applications. Journal of Scientific Computing, 74(3): 1575-1600, 2018.

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Membro del consiglio direttivo

Università: Università degli Studi di Ferrara

Carica: professore associato

E-mail: stefano.bonnini@unife.it

Pagina web

Tematiche di ricerca: Multivariate statistics - Permutation tests - Composite indicators - Combined permutation tests - Multiple tests.

Alcune pubblicazioni:

• Alfieri R, Bonnini S, Brombin C, Castoro C, Salmaso L (2016), Iterated combination-based paired permutation tests to determine shape effects of chemotherapy in patients with esophageal cancer, Statistical Methods in Medical research, 25, 2, 598-614;
• Bonnini S (2016), Multivariate approach for comparative evaluations of customer satisfaction with application to transport services, Communication in Statistics: Simulation and Computation, 45, 5, 1554-1568;
• Arboretti GR, Bonnini S, Corain L, Vidotto D (2015), Environmental Odor Perception: testing regional differences on heterogeneity with application to odor perceptions in the area of Este (Italy), Environmetrics, 26, 6, 418-430;
• Arboretti GR, Bonnini S, Corain L, Salmaso L (2014), A Permutation Approach for Ranking of Multivariate Populations, Journal of Multivariate Analysis, 132, 39-57;
• Bonnini S (2014), Testing for heterogeneity with categorical data: permutation solution vs. bootstrap method, Communication in Statistics: Theory and Methods, 43, 4, 906-917;
• Arboretti G R, Bonnini S, Pesarin F (2009), A permutation approach for testing heterogeneity in two-sample problems, Statistics and Computing, 19, 2, 209-216.

Membro del consiglio direttivo

Università: Università degli Studi di Ferrara

Carica: professore associato

E-mail: guido.sciavicco@unife.it

Pagina web

Tematiche di ricerca: Symbolic Machine Learning - Mathematical Logic - Applications of Artificial Intelligence - Intelligent Data Analysis.

Alcune pubblicazioni:

• Temporal Aspects in Air Quality Modelling - A Case Study in Wroclaw. Air, Soil, and Water Research 13, 1:1 - 1:13. J. Kamínska, E. Lucena-Sánchez, G. Sciavicco.
• Predicting the Risk of Academic Dropout with Temporal Multi-Objective Optimization. IEEE Transactions on Learning Technologies 12(2), 225- 236. F. Jiménez, A. Paoletti, G. Sánchez, and G. Sciavicco
• On Coarser Interval Temporal Logics. Artificial Intelligence 266, 1 - 26. M. Pelegrín, E. Muñoz-Velasco, P. Sala, G. Sciavicco, and I.E. Stan
• Multi-Objective Evolutionary Rule-Based Classification with Categorical Data. Entropy 20(9), 684:1 - 684:33. F. Jiménez, C. Martínez, L. Miralles, G. Sánchez, and G. Sciavicco
• Horn Fragments of the Halpern-Shoham Interval Temporal Logic. ACM Transactions of Computational Logic 18(3), 22:1 - 22:39. D. Bresolin, A. Kurucz, E. Muñoz-Velasco, V. Ryzhikov, G. Sciavicco, and M. Zakharyaschev

Membro del CMCS

Università: Università degli Studi di Ferrara

Carica: dottoranda

E-mail: sara.grassi@unife.it

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

Alcune pubblicazioni:

• Sara Grassi and Lorenzo Pareschi. From particle swarm optimization to consensus based optimization: stochastic modeling and mean-field limit. arXiv preprint arXiv:2012.05613 (2020).

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:

• Bertaglia G., Pareschi L. Hyperbolic models for the spread of epidemics on networks: kinetic description and numerical methods. ESAIM: Mathematical Modelling and Numerical Analysis 55(2):381-407, 2021. DOI: 10.1051/m2an/2020082;
• Bertaglia G., Caleffi V., Pareschi L., Valiani A. Uncertainty quantification of viscoelastic parameters in arterial hemodynamics with the a-FSI blood flow model. Journal of Computational Physics 430:110102, 2021. DOI: 10.1016/j.jcp.2020.110102;
• Bertaglia G., Navas-Montilla A., Valiani A., Monge Garcia M. I., Murillo J., Caleffi V. 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, 100(C):109595, 2020. DOI: 10.1016/j.jbiomech.2019.109595;
• Bertaglia G., Caleffi V., Valiani A. Modeling blood flow in viscoelastic vessels: the 1D augmented fluid-structure interaction system. Computer Methods in Applied Mechanics and Engineering 360(C):112772, 2020. DOI: 10.1016/j.cma.2019.112772;
• Bertaglia G., Ioriatti M., Valiani A., Dumbser M., Caleffi V. Numerical methods for hydraulic transients in visco-elastic pipes. Journal of Fluids and Structures 81(C):230--254, 2018. DOI: 10.1016/j.jfluidstructs.2018.05.004.

Direttore e membro del consiglio direttivo

Università: Università degli Studi di Ferrara

Carica: professore associato

E-mail: giacomo.dimarco@unife.it

Pagina web

Tematiche di ricerca: Modellistica - Analisi numerica - Calcolo scientifico - Calcolo ad alte prestazioni - Quantificazione dell'incertezza - Controllo.

Alcune pubblicazioni:

• Wealth distribution under the spread of infectious diseases. G. Dimarco, L. Pareschi, G. Toscani, M. Zanella. Physical Review E 102, 022303 (2020);
• The Aw-Rascle traffic model: kinetic derivation and generalisations. G. Dimarco, A. Tosin, Journal of Statistical Physics 178, pp. 178-210, (2020);
• Multiscale control variate strategies for uncertainty quantification in kinetic equations. G. Dimarco, L. Pareschi. Journal of Computational Physics, Vol. 388, pp.63-89 (2019);
• An efficient numerical method for solving the Boltzmann equation in multidimensions. G. Dimarco, R. Loubère, J. Narski and T. Rey. Journal of Computational Physics vol. 353, pp. 46-81, (2018);
• Numerical Methods for Kinetic Equations. G. Dimarco, L. Pareschi. Acta Numerica, Vol. 23, pp. 369-520 (2014).

Membro del consiglio direttivo

Università: Università degli Studi di Ferrara

Carica: professore associato

E-mail: valerio.caleffi@unife.it

Pagina web

Tematiche di ricerca: Open channel flow - Dam-break problems - Morphodynamic evolution - Unsteady friction - Arterial hemodynamics - Conservative and non-conservative balance laws - Method of characteristics - Finite volume methods - IMEX Runge-Kutta schemes - WENO schemes - Uncertainty quantification.

Alcune pubblicazioni:

• Bertaglia, G., Caleffi, V., Pareschi, L., & Valiani, A. (2021). Uncertainty quantification of viscoelastic parameters in arterial hemodynamics with the a-FSI blood flow model. Journal of Computational Physics, 1, 110102. https://doi.org/10.1016/j.jcp.2020.110102;
• Bertaglia, G., Ioriatti, M., Valiani, A., Dumbser, M., & Caleffi, V. (2018). Numerical methods for hydraulic transients in visco-elastic pipes. Journal of Fluids and Structures, 81, 230–254. https://doi.org/10.1016/j.jfluidstructs.2018.05.004;
• Carraro, F., Vanzo, D., Caleffi, V., Valiani, A., & Siviglia, A. (2018). Mathematical study of linear morphodynamic acceleration and derivation of the MASSPEED approach. Advances in Water Resources, 117(May), 40–52; https://doi.org/10.1016/j.advwatres.2018.05.002;
• Caleffi, V., Valiani, A., & Bernini, A. (2006). Fourth-order balanced source term treatment in central WENO schemes for shallow water equations. Journal of Computational Physics, 218(1), 228–245. https://doi.org/10.1016/j.jcp.2006.02.001;
• Valiani, A., Caleffi, V., & Zanni, A. (2002). Case Study: Malpasset Dam-Break Simulation using a Two-Dimensional Finite Volume Method. Journal of Hydraulic Engineering, 128(5), 460–472. https://doi.org/10.1061/(ASCE)0733-9429(2002)128:5(460).