SIMAI 2025


Minisymposia


Minisymposia are organized in slots of 2.30 hour for 6 talks of 20 minutes + 5 minutes discussion. Minisymposia with less than 6 talks (o 5 in case of keynote) may be requested to complete the slots with contributed talk selected by the Scientific Committee.

List of the confirmed Minisymposia

Organized by: G. Gargano (University of Bari Aldo Moro, Italy), M. Menci (Università Campus Bio-Medico di Roma, Italy) and G. Settembre (University of Bari Aldo Moro, Italy)
Keywords: Computational optimization, Low-rank models and approximations, Scientific machine learning, Hybrid data-physics modeling
Organized by: A. Cardone (University of Salerno, Italy), G. Frasca-Caccia (University of Salerno, Italy) and J. Martín Vaquero (University of Salamanca, Spain)
Keywords: numerical modelling, numerical solution of FDE, numerical solution of integral equations, numerical solution of ODE and PDE
Organized by: C. Cesarano (University Uninettuno, Italy), D. Conte (University of Salerno, Italy), A. De Rossi (University of Torino, Italy) and D. Occorsio (University of Basilicata, Italy)
Keywords: approximation theory, numerical solution of functional equations, orthogonal polynomials, special functions
Organized by: M. Caldana (Politecnico di Milano, Italy), S. Pagani (Politecnico di Milano, Italy) and G. Ziarelli (Università degli Studi di Milano, Italy)
Keywords: machine learning, neural networks, Scientific machine learning, time evolution
Organized by: R. Zamolo (University of Trieste, Italy), L. Bacer (University of Trieste, Italy) and M. Munerato (ESTECO SpA, Italy)
Keywords: meshfree methods, meshless methods, numerical approximation of Partial Differential Equations, numerical solution of ODE and PDE, Radial Basis Function
Organized by: N. Parolini (MOX, DMAT, Politecnico di Milano, Italy), A. Pugliese (Università di Trento, Italy) and E. Venturino (Université Marie et Louis Pasteur, Italy)
Keywords: mathematical epidemiology
Organized by: A. Coco (University of Catania, Italy) and G. Russo (University of Catania, Italy)
Keywords: Coupled evolutionary PDEs, Ghost-point methods, High-order discretizations of PDEs, immersed boundary, multigrid methods, unfitted boundary methods
Organized by: S. Pellegrino (Politecnico di Bari, Italy) and M. Ruggeri (Alma Master Studiorum - Università di Bologna, Italy)
Keywords: mechanics, multiphysics, Nonlinear models, Nonlocal models, numerical modelling, PINN
Organized by: S. Bonetti (Politecnico di Milano, Italy), M. Botti (Politecnico di Milano, Italy), A. Cangiani (International School for Advanced Studies, Italy), M. Corti (Politecnico di Milano, Italy) and I. Fumagalli (Politecnico di Milano, Italy)
Keywords: numerical approximation of Partial Differential Equations, Polytopal methods
Organized by: G. Franchini (University of Modena and Reggio Emilia, Italy), D. Pezzi (University of Modena and Reggio Emilia, Italy) and S. Rebegoldi (University of Modena and Reggio Emilia, Italy)
Keywords: machine learning, optimization, regularization
Organized by: I. Bulai (University of Torino, Italy) and R. Cavoretto (University of Torino, Italy)
Keywords: approximation methods , inverse problems, machine learning, mathematical biology, mathematical ecology , mathematical epidemiology , numerical integration, numerical linear algebra, numerical solution of ODE and PDE, optimal control , optimization , population dynamics
Organized by: J. Giacomini (Università degli Studi di Camerino, Italy) and A. Barletta (Spici srl, Italy)
Keywords: coffee extraction, fluid percolation, inverse problems, machine learning
Organized by: G. Pozzi (DISMA - Politecnico di Torino, Italy) and C. Giverso (DISMA - Politecnico di Torino, Italy)
Keywords: digital twins, mathematical biology, Multiscale problems
Organized by: D. Lazzaro (Department of Mathematics of Bologna, Italy) and M. Pragliola (Department of Mathematics of Naples, Italy)
Keywords: diffusion models, image decomposition, machine learning, Statistical data processing, unstructured data
Organized by: V. Iorio (University of L'Aquila, Italy) and S. Portaro (University of L'Aquila, Italy)
Keywords: Multiscale problems, Nonlinear models, Nonlocal models
Organized by: A. Bondesan (University of Parma, Italy) and M. Conte (Politecnico of Torino, Italy)
Organized by: P. Diaz de Alba (University of Cagliari, Italy) and F. Pes (University of Cagliari, Italy)
Keywords: approximation methods, inverse problems, numerical linear algebra, optimization
Organized by: P. De Luca (Parthenope University of Naples, Italy), L. Marcellino (Parthenope University of Naples, Italy), G. Pagano (University Federico II of Naples, Italy) and L. SHAHRIYARI (University of Massachussetts Amherst, United States)
Keywords: neural networks, numerical approximation of Partial Differential Equations, Scientific machine learning
Organized by: P. Africa (SISSA, Trieste, Italy), M. Girfoglio (University of Palermo, Italy), F. Pichi (SISSA, Trieste, Italy), N. Tonicello (SISSA, Trieste, Italy) and G. Rozza (SISSA, Trieste, Italy)
Keywords: data assimilation, digital twins, high-performance computing, reduced order methods, uncertainty quantification
Organized by: F. Ballatore (Politecnico di Torino, Italy) and D. Morselli (University College London, United Kingdom)
Keywords: Computational biomedicine, mathematical biology, mechanics, Scientific computing
Organized by: F. Renzi (Politecnico di Milano, Italy), M. Bucelli (Politecnico di Milano, Italy), F. Caforio (University of Graz, Austria), S. Pagani (Politecnico di Milano, Italy), R. Piersanti (Politecnico di Milano, Italy) and F. Regazzoni (Politecnico di Milano, Italy)
Keywords: Computational biomedicine , data assimilation, high-performance computing, Scientific computing, Scientific machine learning
Organized by: A. Aimi (Università di Parma, Italy), L. Desiderio (Università di Messina, Italy) and S. Falletta (Politecnico di Torino, Italy)
Keywords: numerical solution of integral equations
Organized by: F. Benvenuto (University of Genova, Italy), C. Estatico (University of Genova, Italy) and A. Sorrentino (University of Genova, Italy)
Keywords: inverse problems, regularization
Organized by: A. Boiardi (SISSA, Italy), R. Marchello (SISSA, Italy) and D. Riccobelli (SISSA, Italy)
Keywords: active matter, mechanics, multiphysics, soft matter
Organized by: F. Della Santa (DISMA, politecnico di Torino, Italy) and M. Strazzullo (DISMA, politecnico di Torino, Italy)
Keywords: approximation methods, reduced order methods, Scientific machine learning
Organized by: D. Evangelista (University of Bologna, Italy) and E. Loli Piccolomini (University of Bologna, Italy)
Keywords: continual learning, cybersecurity, medical imaging, neural networks, optimization, variational methods
Organized by: F. Pichi (SISSA, Italy), F. Regazzoni (Politecnico di Milano, Italy) and D. Torlo (Sapienza Università di Roma, Italy)
Keywords: physics-based surrogate, reduced order methods, Scientific machine learning
Organized by: G. Fanizza (LUM University, Italy) and F. Difonzo (LUM University, Italy)
Keywords: Nonlinear models, Nonlocal models, numerical solution of ODE and PDE, PINN
Organized by: A. Martinez (University of Trieste, Italy) and M. Ferronato (University of Padova, Italy)
Keywords: high-performance computing, multiphysics, numerical linear algebra, numerical solution of ODE and PDE, Scientific computing
Organized by: N. Tonicello (SISSA, Italy), G. Orlando (CMAP - Centre de Mathématiques Appliquées, Éc, France), F. Dalla Barba (University of Padova, Italy) and M. Pelanti (ENSTA Paris, France)
Keywords: immersed boundary, multiphase
Organized by: A. Viguerie (Università degli Studi di Urbino Carlo Bo, Italy) and M. Menale (Università degli Studi di Napoli Federico II, Italy)
Organized by: P. Massa (Fachhochschule Nordwestschweiz (FHNW), Switzerland) and S. Tozza (ALMA MATER STUDIORUM - Università di Bologna, Italy)
Keywords: Approximation theory, Astronomical imaging, Inverse problems, Machine learning, PDE-based methods, Solar X-ray imaging
Organized by: F. Pichi (SISSA, Italy), G. Rozza (SISSA, Italy), L. Russo (STEMS-CNR, Italy) and C. Siettos (UNINA, Italy)
Keywords: Multiscale problems, Nonlinear models, numerical linear algebra, reduced order methods, Scientific machine learning
Organized by: F. Pichi (SISSA, Italy), G. Rozza (SISSA, Italy), L. Russo (CNR, Italy) and C. Siettos (University of Naple, Italy)
Keywords: approximation methods, numerical approximation of Partial Differential Equations, PDE-based methods, Scientific machine learning
Organized by: E. Carlini (Sapienza Università di Roma, Italy) and A. Festa (Politecnico di Torino, Italy)
Keywords: numerical approximation of Partial Differential Equations, Semi-Lagrangian Schemes
Organized by: C. Piazzola (Technical University of Munich, Germany), M. Giacomini (Universitat Politècnica de Catalunya & CIMNE, Spain) and L. Tamellini (CNR - IMATI, Italy)
Organized by: G. Franchini (University of Modena and Reggio Emilia, Italy), D. Pezzi (University of Modena and Reggio Emilia, Italy) and S. Rebegoldi (University of Modena and Reggio Emilia, Italy)
Keywords: machine learning, optimization, regularization
Organized by: S. Cuomo (Università degli Studi di Napoli Federico II, Italy), R. Fazio (Università degli Studi di Messina, Italy), C. Guardasoni (Università di Parma, Italy) and D. Vitulano (Università degli Studi La Sapienza di Roma, Italy)
Organized by: A. Aimi (Università degli Studi di Parma, Italy), G. Ciaramella (Politecnico di Milano, Italy), G. Di Credico (Università degli studi di Parma, Italy), C. Guardasoni (Università degli Studi di Parma, Italy) and I. Mazzieri (Politecnico di Milano, Italy)
Keywords: numerical approximation of Partial Differential Equations
Organized by: D. Breda (University of Udine, Italy), D. Conte (University of Salerno, Italy) and R. D'Ambrosio (University of L'Aquila, Italy)
Keywords: delay differential equations, dynamical systems, numerical approximation of Partial Differential Equations, numerical modelling, stochastic differential equations, stochastic numerics, sustainability
Organized by: M. Carlino (ONERA, France) and A. Del Grosso (Inria, France)
Keywords: numerical approximation of Partial Differential Equations, reduced order methods