
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
Keywords: Computational optimization, Low-rank models and approximations, Scientific machine learning, Hybrid data-physics modeling
Keywords: numerical modelling, numerical solution of FDE, numerical solution of integral equations, numerical solution of ODE and PDE
Keywords: approximation theory, numerical solution of functional equations, orthogonal polynomials, special functions
Keywords: machine learning, neural networks, Scientific machine learning, time evolution
Keywords: meshfree methods, meshless methods, numerical approximation of Partial Differential Equations, numerical solution of ODE and PDE, Radial Basis Function
Keywords: mathematical epidemiology
Keywords: Coupled evolutionary PDEs, Ghost-point methods, High-order discretizations of PDEs, immersed boundary, multigrid methods, unfitted boundary methods
Keywords: mechanics, multiphysics, Nonlinear models, Nonlocal models, numerical modelling, PINN
Keywords: numerical approximation of Partial Differential Equations, Polytopal methods
Keywords: machine learning, optimization, regularization
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
Keywords: coffee extraction, fluid percolation, inverse problems, machine learning
Keywords: digital twins, mathematical biology, Multiscale problems
Keywords: diffusion models, image decomposition, machine learning, Statistical data processing, unstructured data
Keywords: Multiscale problems, Nonlinear models, Nonlocal models
Keywords: approximation methods, inverse problems, numerical linear algebra, optimization
Keywords: neural networks, numerical approximation of Partial Differential Equations, Scientific machine learning
Keywords: data assimilation, digital twins, high-performance computing, reduced order methods, uncertainty quantification
Keywords: Computational biomedicine, mathematical biology, mechanics, Scientific computing
Keywords: Computational biomedicine , data assimilation, high-performance computing, Scientific computing, Scientific machine learning
Keywords: numerical solution of integral equations
Keywords: inverse problems, regularization
Keywords: active matter, mechanics, multiphysics, soft matter
Keywords: approximation methods, reduced order methods, Scientific machine learning
Keywords: continual learning, cybersecurity, medical imaging, neural networks, optimization, variational methods
Keywords: physics-based surrogate, reduced order methods, Scientific machine learning
Keywords: Nonlinear models, Nonlocal models, numerical solution of ODE and PDE, PINN
Keywords: high-performance computing, multiphysics, numerical linear algebra, numerical solution of ODE and PDE, Scientific computing
Keywords: immersed boundary, multiphase
Keywords: Approximation theory, Astronomical imaging, Inverse problems, Machine learning, PDE-based methods, Solar X-ray imaging
Keywords: Multiscale problems, Nonlinear models, numerical linear algebra, reduced order methods, Scientific machine learning
Keywords: approximation methods, numerical approximation of Partial Differential Equations, PDE-based methods, Scientific machine learning
Keywords: numerical approximation of Partial Differential Equations, Semi-Lagrangian Schemes
Keywords: machine learning, optimization, regularization
Keywords: numerical approximation of Partial Differential Equations
Keywords: delay differential equations, dynamical systems, numerical approximation of Partial Differential Equations, numerical modelling, stochastic differential equations, stochastic numerics, sustainability
Keywords: numerical approximation of Partial Differential Equations, reduced order methods