Andrea Manzoni

Associate Professor

Contact Information

Phone:
+39 02 2399 4638
Fax:
+39 02 2399
Office:
14-Nave
Email:

Keywords

Computational learning
Advanced Numerical Methods for Scientific Computing
Living Systems and Precision Medicine
SC4I/Digitization, Innovation, and Competitiveness of the Production System

Publications

    

Available MOX Reports

TORZONI, M.; MANZONI, A.; MARIANI, S.
Structural health monitoring of civil structures: A diagnostic framework powered by deep metric learning
TORZONI, M.; MANZONI, A.; MARIANI, S.
A multi-fidelity surrogate model for structural health monitoring exploiting model order reduction and artificial neural networks
CONTI, P.; GOBAT, G.; FRESCA, S.; MANZONI, A.; FRANGI, A.
Reduced order modeling of parametrized systems through autoencoders and SINDy approach: continuation of periodic solutions
TORZONI, M.; TEZZELE, M.; MARIANI, S.; MANZONI, A.; WILLCOX, K.E.
A digital twin framework for civil engineering structures
CICCI, L.; FRESCA, S.; GUO, M.; MANZONI, A.; ZUNINO, P.
Uncertainty quantification for nonlinear solid mechanics using reduced order models with Gaussian process regression
VITULLO, P.; COLOMBO, A.; FRANCO, N.R.; MANZONI, A.; ZUNINO, P.
Nonlinear model order reduction for problems with microstructure using mesh informed neural networks
FRESCA, S.; GOBAT, G.; FEDELI, P.; FRANGI, A.; MANZONI, A.
Deep learning-based reduced order models for the real-time simulation of the nonlinear dynamics of microstructures
CONTI, P.; GUO, M.; MANZONI, A.; HESTHAVEN, J.S.
Multi-fidelity surrogate modeling using long short-term memory networks
ZAPPON, E.; MANZONI, A.; QUARTERONI, A.
A staggered-in-time and non-conforming-in-space numerical framework for realistic cardiac electrophysiology outputs
FRANCO, N.R; MANZONI, A.; ZUNINO, P.
Learning Operators with Mesh-Informed Neural Networks
FRANCO, N.; FRESCA, S.; MANZONI, A.; ZUNINO, P.
Approximation bounds for convolutional neural networks in operator learning
ZAPPON E.; MANZONI A.; GERVASIO P.; QUARTERONI A.
A reduced order model for domain decompositions with non-conforming interfaces
ZAPPON, E.; MANZONI, A.; QUARTERONI A.
Efficient and certified solution of parametrized one-way coupled problems through DEIM-based data projection across non-conforming interfaces
FRESCA, S.; MANZONI, A.
Real-time simulation of parameter-dependent fluid flows through deep learning-based reduced order models
GOBAT, G.; OPRENI, A.; FRESCA, S.; MANZONI, A.; FRANGI, A.
Reduced order modeling of nonlinear microstructures through Proper Orthogonal Decomposition
SINIGAGLIA, C.; QUADRELLI, D.E.; MANZONI, A.; BRAGHIN, F.
Fast active thermal cloaking through PDE-constrained optimization and reduced-order modeling
GUO, M.; MANZONI, A.; AMENDT, M.; CONTI, P.; HESTHAVEN, J.S.
Multi-fidelity regression using artificial neural networks: efficient approximation of parameter-dependent output quantities
CICCI, L.; FRESCA, S.; PAGANI, S.; MANZONI, A.; QUARTERONI, A.
Projection-based reduced order models for parameterized nonlinear time-dependent problems arising in cardiac mechanics
FRESCA, S.; MANZONI, A.
POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition
FRANCO, N.; MANZONI, A.; ZUNINO, P.
A Deep Learning approach to Reduced Order Modelling of parameter dependent Partial Differential Equations
ROSAFALCO, L.; TORZONI, M.; MANZONI, A.; MARIANI, S.; CORIGLIANO, A.
Online structural health monitoring by model order reduction and deep learning algorithms
ROSAFALCO, L.; MANZONI, A.; MARIANI, S.; CORIGLIANO, A.
Fully convolutional networks for structural health monitoring through multivariate time series classification
PAROLINI, N.; DEDE', L; ANTONIETTI, P. F.; ARDENGHI, G.; MANZONI, A.; MIGLIO, E.; PUGLIESE, A.; VERANI, M.; QUARTERONI, A.
SUIHTER: A new mathematical model for COVID-19. Application to the analysis of the second epidemic outbreak in Italy
SALVADOR, M.; DEDE', L.; MANZONI, A.
Non intrusive reduced order modeling of parametrized PDEs by kernel POD and neural networks
MASSI, M.C.; FRANCO, N.R; IEVA, F.; MANZONI, A.; PAGANONI, A.M.; ZUNINO, P.
High-Order Interaction Learning via Targeted Pattern Search
FRESCA, S.; MANZONI, A.; DEDè, L.; QUARTERONI, A.
Deep learning-based reduced order models in cardiac electrophysiology
MASSI, M.C., GASPERONI, F., IEVA, F., PAGANONI, A.M., ZUNINO, P., MANZONI, A., FRANCO, N.R., ET AL.
A deep learning approach validates genetic risk factors for late toxicity after prostate cancer radiotherapy in a REQUITE multinational cohort
FRESCA, S.; DEDE', L.; MANZONI, A.
A comprehensive deep learning-based approach to reduced order modeling of nonlinear time-dependent parametrized PDEs
MANZONI, A; QUARTERONI, A.; SALSA, S.
A saddle point approach to an optimal boundary control problem for steady Navier-Stokes equations
DAL SANTO, N.; MANZONI, A.
Hyper-reduced order models for parametrized unsteady Navier-Stokes equations on domains with variable shape
PAGANI, S.; MANZONI, A.; CARLBERG, K.
Statistical closure modeling for reduced-order models of stationary systems by the ROMES method
DAL SANTO, N.; DEPARIS, S.; MANZONI, A.; QUARTERONI, A.
Multi space reduced basis preconditioners for parametrized Stokes equations
DAL SANTO, N.; DEPARIS, S.; MANZONI, A.; QUARTERONI, A.
An algebraic least squares reduced basis method for the solution of nonaffinely parametrized Stokes equations
MANZONI, A; BONOMI, D.; QUARTERONI, A.
Reduced order modeling for cardiac electrophysiology and mechanics: new methodologies, challenges & perspectives
DAL SANTO, N.; DEPARIS, S.; MANZONI, A.; QUARTERONI, A.
Multi space reduced basis preconditioners for large-scale parametrized PDEs
PAGANI, S.; MANZONI, A.; QUARTERONI, A.
Numerical approximation of parametrized problems in cardiac electrophysiology by a local reduced basis method
QUARTERONI, A.; MANZONI, A.; VERGARA, C.
The Cardiovascular System: Mathematical Modeling, Numerical Algorithms, Clinical Applications
PAGANI, S.; MANZONI, A.; QUARTERONI, A.
A Reduced Basis Ensemble Kalman Filter for State/parameter Identification in Large-scale Nonlinear Dynamical Systems
BONOMI, D.; MANZONI, A.; QUARTERONI, A.
A matrix discrete empirical interpolation method for the efficient model reduction of parametrized nonlinear PDEs: application to nonlinear elasticity problems
BALLARIN, F.; FAGGIANO, E.; IPPOLITO, S.; MANZONI, A.; QUARTERONI, A.; ROZZA, G.; SCROFANI, R.
Fast simulations of patient-specific haemodynamics of coronary artery bypass grafts based on a POD–Galerkin method and a vascular shape parametrization
MANZONI, A.; PAGANI, S.
A certified reduced basis method for PDE-constrained parametric optimization problems by an adjoint-based approach
FUMAGALLI, I.; MANZONI, A.; PAROLINI, N.; VERANI, M.
Reduced basis approximation and a posteriori error estimates for parametrized elliptic eigenvalue problems
MANZONI, A.; PAGANI, S.; LASSILA, T.
Accurate solution of Bayesian inverse uncertainty quantification problems using model and error reduction methods
BALLARIN, F.; MANZONI, A.; QUARTERONI, A.; ROZZA, G.
Supremizer stabilization of POD-Galerkin approximation of parametrized Navier-Stokes equations
LASSILA, T.; MANZONI, A.; QUARTERONI, A.; ROZZA, G.
Model order reduction in fluid dynamics: challenges and perspectives
NEGRI, F.; ROZZA, G.; MANZONI, A.; QUARTERONI, A.
Reduced basis method for parametrized elliptic optimal control problems
LASSILA, T.; MANZONI, A.; QUARTERONI, A.; ROZZA, G.
Generalized reduced basis methods and n width estimates for the approximation of the solution manifold of parametric PDEs
MANZONI, A.; QUARTERONI, A.; GIANLUIGI ROZZA, G.
Computational reduction for parametrized PDEs: strategies and applications
LASSILA, T.; MANZONI, A.; QUARTERONI, A.; ROZZA, G.
Boundary control and shape optimization for the robust design of bypass anastomoses under uncertainty
LASSILA, T.; MANZONI, A.; QUARTERONI, A.; ROZZA, G.
A reduced computational and geometrical framework for inverse problems in haemodynamics
MANZONI, A.; QUARTERONI, A.; ROZZA, G.
Model reduction techniques for fast blood flow simulation in parametrized geometries
QUARTERONI, A.; ROZZA, G.; MANZONI, A.
Certified Reduced Basis Approximation for Parametrized Partial Differential Equations and Applications
MANZONI, ANDREA; QUARTERONI, ALFIO; ROZZA, GIANLUIGI
Shape optimization for viscous flows by reduced basis methods and free-form deformation