Skip to content
Staff
Research
Research Areas
Reports and books
Projects
Societal Outreach
Seminars
Mox Colloquia
Seminars – Full List
Media
Search
Search
Search …
Search
Search
Search …
Search
Search …
Menu
Staff
Research
Research Areas
Reports and books
Projects
Societal Outreach
Seminars
Mox Colloquia
Seminars – Full List
Media
Home
»
Staff
»
Staff details
Andrea Manzoni
Associate Professor
Contact Information
Phone:
+39 02 2399 4638
Fax:
+39 02 2399
Office:
14-Nave
Email:
Keywords
Advanced Numerical Methods for Scientific Computing
Computational learning
Living Systems and Precision Medicine
SC4I/Digitization, Innovation, and Competitiveness of the Production System
Publications
Available MOX Reports
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