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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
ProfessorZunino Paolo
QualificationFull professor full time
Belonging DepartmentDipartimento di Matematica
Scientific-Disciplinary SectorMAT/08 - Numerical Analysis
Curriculum VitaeDownload CV (401.96Kb - 31/07/2023)
OrcIDhttps://orcid.org/0000-0002-2470-0189

Contacts
Professor's office hours
DepartmentFloorOfficeDayTimetableTelephoneFaxNotes
Matematica6--TuesdayFrom 14:30
To 15:30
02.2399.4530----
E-mailpaolo.zunino@polimi.it
Professor's personal websitehttps://zunino.faculty.polimi.it/

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

List of publications and reserach products for the year 2024 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Journal Articles
Nonlinear model order reduction for problems with microstructure using mesh informed neural networks (Show >>)


List of publications and reserach products for the year 2023 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
A tissue-aware simulation framework for [18F]FLT spatiotemporal uptake in pancreatic ductal adenocarcinoma (Show >>)
Journal Articles
A deep learning approach to Reduced Order Modelling of parameter dependent partial differential equations (Show >>)
A three-dimensional method for morphological analysis and flow velocity estimation in microvasculature on-a-chip (Show >>)
Approximation bounds for convolutional neural networks in operator learning (Show >>)
Learning high-order interactions for polygenic risk prediction (Show >>)
Mesh-Informed Neural Networks for Operator Learning in Finite Element Spaces (Show >>)
Reduced Lagrange multiplier approach for non-matching coupling of mixed-dimensional domains (Show >>)
Sensitivity analysis of a multi-physics model for the vascular microenvironment (Show >>)
Uncertainty quantification for nonlinear solid mechanics using reduced order models with Gaussian process regression (Show >>)


List of publications and reserach products for the year 2022 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Contributions on scientific books
Hybrid-dimensional models for blood flow and mass transport: Sequential and embedded 3D-1D models (Show >>)
Journal Articles
A Multiscale Poromechanics Model Integrating Myocardial Perfusion and the Epicardial Coronary Vessels (Show >>)
A coupled 3D-1D multiscale Keller-Segel model of chemotaxis and its application to cancer invasion (Show >>)
Iterative splitting schemes for a soft material poromechanics model (Show >>)
Prediction of myocardial blood flow under stress conditions by means of a computational model (Show >>)
T cell therapy against cancer: A predictive diffuse-interface mathematical model informed by pre-clinical studies (Show >>)


List of publications and reserach products for the year 2021 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Abstract in Rivista
PH-0656 Prediction of toxicity after prostate cancer RT: the value of a SNP-interaction polygenic risk score (Show >>)
Abstract in Atti di convegno
Uncertainty Quantification for Parameter dependent Partial Differential Equations using Deep Neural Networks (Show >>)
Contributions on scientific books
A Posteriori Model Error Analysis of 3D-1D Coupled PDEs (Show >>)
Journal Articles
A Mesoscale Computational Model for Microvascular Oxygen Transfer (Show >>)
A computational model applied to myocardial perfusion in the human heart: From large coronaries to microvasculature (Show >>)
A surrogate model for plaque modeling in carotids based on Robin conditions calibrated by cine MRI data (Show >>)
Analysis and Approximation of Mixed-Dimensional PDEs on 3D-1D Domains Coupled with Lagrange Multipliers (Show >>)
Development of a method for generating SNP interaction-aware polygenic risk scores for radiotherapy toxicity (Show >>)
Mathematical analysis and numerical approximation of a general linearized poro-hyperelastic model (Show >>)
Mathematical and numerical modeling of atherosclerotic plaque progression based on fluid-structure interaction (Show >>)
Modeling the cardiac response to hemodynamic changes associated with COVID-19: a computational study (Show >>)


List of publications and reserach products for the year 2020 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Abstract in Atti di convegno
Deep Sparse Autoencoder-based Feature Selection for SNPs validation in Prostate Cancer Radiogenomics (Show >>)
Conference proceedings
A Mixed Dimensional Model for the Interaction of a Well with a Poroelastic Material (Show >>)
Prediction of late radiotherapy toxicity in prostate cancer patients via joint analysis of SNPs sequences (Show >>)
Journal Articles
A Deep Learning Approach Validates Genetic Risk Factors for Late Toxicity After Prostate Cancer Radiotherapy in a REQUITE Multi-National Cohort (Show >>)
A global sensitivity analysis approach applied to a multiscale model of microvascular flow (Show >>)
A hierarchical multiscale model for predicting the vascular behavior of blood-borne nanomedicines (Show >>)
A multiscale heat transfer model for nuclear reactor assemblies (Show >>)
In silico model of the early effects of radiation therapy on the microcirculation and the surrounding tissues (Show >>)
manifesti v. 3.5.13 / 3.5.13
Area Servizi ICT
29/02/2024