Area of research
Cardiology and Cardiovascular Medicine · Computational Mechanics
Research interest
Research interests include Advanced Numerical Methods in Computational Mathematics, Coronary Interventions and Diagnostics, Cardiovascular Health and Disease Prevention, and Cardiovascular Function and Risk Factors.
Aortic stiffening after thoracic aortic stent grafting: A multi-patient specific computational study
Impact of the stent footprint on endothelial wall shear stress in patient-specific coronary arteries: A computational analysis from the SHEAR-STENT trial
Bridging Large Eddy Simulation and Reduced-Order Modeling of Convection-Dominated Flows through Spatial Filtering: Review and Perspectives
Bridging Large Eddy Simulation and Reduced-Order Modeling of Convection-Dominated Flows through Spatial Filtering: Review and Perspectives
Reduced Order Modeling for Real-Time Stent Deformation Simulations of Transcatheter Aortic Valve Prostheses.
Physics Guided Machine Learning for Variational Multiscale Reduced Order Modeling
Mathematical Modeling of Periodic Outbreaks with Waning Immunity: A Possible Long-Term Description of COVID-19
Biomechanics of Transcatheter Aortic Valve Replacement Complications and Computational Predictive Modeling
Semi-Automatic Reconstruction of Patient-Specific Stented Coronaries based on Data Assimilation and Computer Aided Design.
Simulating the spread of COVID-19 <i>via</i> a spatially-resolved susceptible-exposed-infected-recovered-deceased (SEIRD) model with heterogeneous diffusion.
Simulating the spread of COVID-19 <i>via</i> a spatially-resolved susceptible-exposed-infected-recovered-deceased (SEIRD) model with heterogeneous diffusion.
Diffusion–reaction compartmental models formulated in a continuum mechanics framework: application to COVID-19, mathematical analysis, and numerical study
Fluid-Structure Interaction Simulation of an Intra-Atrial Fontan Connection
Efficient estimation of cardiac conductivities: A proper generalized decomposition approach
Experimental validation of a variational data assimilation procedure for estimating space-dependent cardiac conductivities
Analysis of Inlet Velocity Profiles in Numerical Assessment of Fontan Hemodynamics
High Coronary Shear Stress in Patients With Coronary Artery Disease Predicts Myocardial Infarction
Low Coronary Wall Shear Stress Is Associated With Severe Endothelial Dysfunction in Patients With Nonobstructive Coronary Artery Disease
Patient‐specific CFD modelling in the thoracic aorta with PC‐MRI–based boundary conditions: A least‐square three‐element Windkessel approach
Coupled Morphological–Hemodynamic Computational Analysis of Type B Aortic Dissection: A Longitudinal Study
On the Sensitivity to the Filtering Radius in Leray Models of Incompressible Flow
Efficient estimation of cardiac conductivities via POD-DEIM model order reduction
Geometric multiscale modeling of the cardiovascular system, between theory and practice
HIGAMod: A Hierarchical IsoGeometric Approach for MODel reduction in curved pipes
A patient-specific follow up study of the impact of thoracic endovascular repair (TEVAR) on aortic anatomy and on post-operative hemodynamics.
Original Research: Sickle cell anemia and pediatric strokes: Computational fluid dynamics analysis in the middle cerebral artery
Vasomotor Function Comparative Assessment at 1 and 2 Years Following Implantation of the Absorb Everolimus-Eluting Bioresorbable Vascular Scaffold and the Xience V Everolimus-Eluting Metallic Stent in Porcine Coronary Arteries
Deconvolution‐based nonlinear filtering for incompressible flows at moderately large Reynolds numbers
A model reduction approach for the variational estimation of vascular compliance by solving an inverse fluid–structure interaction problem
Biomechanics and Inflammation in Atherosclerotic Plaque Erosion and Plaque Rupture: Implications for Cardiovascular Events in Women
Collaborative Research: Understanding Ablation Through Accurate Integration of Models and in Vivo Experimental Data
Collaborative Research: Data-Driven Variational Multiscale Reduced Order Models for Biomedical and Engineering Applications
Collaborative Research: Efficient Modeling of Incompressible Fluid Dynamics at Moderate Reynolds Numbers by Deconvolution LES Filters Analysis and Applications to Hemodynamics
Hierarchical model reduction techniques for incompressible fluid dynamics and fluid-structure interaction problems
Collaborative Research: Novel Data Assimilation Techniques in Mathematical Cardiology-Development, Analysis and Validation