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Information on didactic, research and institutional assignments on this page are certified by the University; more information, prepared by the professor, are available on the personal web page and in the curriculum vitae indicated on this webpage.
Information on professor
ProfessorDede' Luca
QualificationAssociate professor full time
Belonging DepartmentDipartimento di Matematica
Scientific-Disciplinary SectorMAT/08 - Numerical Analysis
Curriculum VitaeDownload CV (246.24Kb - 14/04/2022)
OrcIDhttps://orcid.org/0000-0002-6558-8277

Contacts
Professor's office hours
DepartmentFloorOfficeDayTimetableTelephoneFaxNotes
Campus Bovisa, Edificio B120Ufficio docentiMondayFrom 16:15
To 17:15
----Appointment by e-mail only
Matematica (Campus Leonardo, Edificio 14 "La nave") 6627FridayFrom 17:15
To 18:15
4642--Appointment by e-mail only
E-mailluca.dede@polimi.it
Professor's personal websitehttp://www1.mate.polimi.it/~dede/

Data source: RE.PUBLIC@POLIMI - Research Publications at Politecnico di Milano

List of publications and reserach products for the year 2022 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Journal Articles
3D–0D closed-loop model for the simulation of cardiac biventricular electromechanics (Show >>)
A cardiac electromechanical model coupled with a lumped-parameter model for closed-loop blood circulation (Show >>)
A machine learning method for real-time numerical simulations of cardiac electromechanics (Show >>)
Modelling the COVID-19 epidemic and the vaccination campaign in Italy by the SUIHTER model (Show >>)
The role of mechano-electric feedbacks and hemodynamic coupling in scar-related ventricular tachycardia (Show >>)


List of publications and reserach products for the year 2021 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Patents
COMPUTER-IMPLEMENTED METHOD FOR THE GENERATION OF A MATHEMATICAL MODEL WITH REDUCED COMPUTATIONAL COMPLEXITY (Show >>)
Conference proceedings
Electro-Mechanical Coupling in Human Atrial Cardiomyocytes: Model Development and Analysis of Inotropic Interventions (Show >>)
Journal Articles
A Comprehensive Deep Learning-Based Approach to Reduced Order Modeling of Nonlinear Time-Dependent Parametrized PDEs (Show >>)
A Computational Study of the Electrophysiological Substrate in Patients Suffering From Atrial Fibrillation (Show >>)
A mathematical dashboard for the analysis of Italian COVID-19 epidemic data (Show >>)
Active Force Generation in Cardiac Muscle Cells: Mathematical Modeling and Numerical Simulation of the Actin-Myosin Interaction (Show >>)
Characterization of cardiac electrogram signals in atrial arrhythmias (Show >>)
Computational fluid dynamics of blood flow in an idealized left human heart (Show >>)
Data integration for the numerical simulation of cardiac electrophysiology (Show >>)
Electromechanical modeling of human ventricles with ischemic cardiomyopathy: numerical simulations in sinus rhythm and under arrhythmia (Show >>)
Hemodynamics of the heart's left atrium based on a Variational Multiscale-LES numerical method (Show >>)
Mathematical analysis and numerical approximation of a general linearized poro-hyperelastic model (Show >>)
Mathematical and numerical models for the cardiac electromechanical function (Show >>)
Modeling cardiac muscle fibers in ventricular and atrial electrophysiology simulations (Show >>)
Modeling the cardiac response to hemodynamic changes associated with COVID-19: a computational study (Show >>)
Multipatch Isogeometric Analysis for electrophysiology: Simulation in a human heart (Show >>)
Non intrusive reduced order modeling of parametrized PDEs by kernel POD and neural networks (Show >>)
POD-Enhanced Deep Learning-Based Reduced Order Models for the Real-Time Simulation of Cardiac Electrophysiology in the Left Atrium (Show >>)
SUIHTER : a new mathematical model for COVID-19. Application to the analysis of the second epidemic outbreak in Italy (Show >>)


List of publications and reserach products for the year 2020 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Patents
Metodo basato su reti neurali per costruire modelli surrogati di tipo differenziale e tempo-dipendenti, utilizzando in modo combinato dati e conoscenza a priori delle proprietà del fenomeno (Show >>)
Contributions on scientific books
Data Analysis and Predictive Mathematical Modeling for COVID-19 Epidemic Studies (Show >>)
Segregated Algorithms for the Numerical Simulation of Cardiac Electromechanics in the Left Human Ventricle (Show >>)
Simulation of the Hemodynamic Effects of the Left Atrial Appendage Occlusion in Atrial Fibrillation: Preliminary Results (Show >>)
Journal Articles
A Computational Comparison Between Isogeometric Analysis and Spectral Element Methods: Accuracy and Spectral Properties (Show >>)
A proof of concept for computational fluid dynamic analysis of the left atrium in atrial fibrillation on a patient-specific basis (Show >>)
An Image-based Computational Hemodynamics Study of the Systolic Anterior Motion of the Mitral Valve (Show >>)
An intergrid transfer operator using radial basis functions with application to cardiac electromechanics (Show >>)
Biophysically detailed mathematical models of multiscale cardiac active mechanics (Show >>)
Deep learning-based reduced order models in cardiac electrophysiology (Show >>)
Effect of fibre orientation and bulk modulus on the electromechanical modelling of human ventricles (Show >>)
Machine learning of multiscale active force generation models for the efficient simulation of cardiac electromechanics (Show >>)
Outer loop and isthmus in ventricular tachycardia circuits: Characteristics and implications (Show >>)


List of publications and reserach products for the year 2019 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Scientific Books
Mathematical Modelling of the Human Cardiovascular System - Data, Numerical Approximation, Clinical Applications (Show >>)
Journal Articles
A monolithic algorithm for the simulation of cardiac electromechanics in the human left ventricle (Show >>)
Biomembrane modeling with isogeometric analysis (Show >>)
Isogeometric Analysis of the electrophysiology in the human heart: Numerical simulation of the bidomain equations on the atria (Show >>)
Machine learning for fast and reliable solution of time-dependent differential equations (Show >>)
The Impact of Left Atrium Appendage Morphology on Stroke Risk Assessment in Atrial Fibrillation: A Computational Fluid Dynamics Study (Show >>)


List of publications and reserach products for the year 2018 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Abstract in Rivista
3282 Evaluation of blood flow patterns for personalized stroke risk assessment in atrial fibrillation (Show >>)
Journal Articles
A Hele–Shaw–Cahn–Hilliard Model for Incompressible Two-Phase Flows with Different Densities (Show >>)
A transmurally heterogeneous orthotropic activation model for ventricular contraction and its numerical validation (Show >>)
Active contraction of cardiac cells: a reduced model for sarcomere dynamics with cooperative interactions (Show >>)
Isogeometric Analysis of a Phase Field Model for Darcy Flows with Discontinuous Data (Show >>)
Numerical approximation of the electromechanical coupling in the left ventricle with inclusion of the Purkinje network (Show >>)
manifesti v. 3.4.22 / 3.4.22
Area Servizi ICT
22/05/2022