Data Update
May you notice any obsolete information about one or more PhD thesis, please contact the current webmaster(s) .
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Laura Meneghetti ,
2022 ,
A Reduced Order Approach for Artificial Neural Networks applied to Object Recognition
Advisor(s):Industrial Advisor: Daniele Turrin
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Alessandro Scagliotti ,
2021-2022 ,
Ensembles of affine-control systems with applications to Deep Learning
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Carlo Gasparetto ,
2021-2022 ,
Epsilon-regularity for the mean curvature flow with boundary and transport term: a viscosity approach
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Dario Andrini ,
2021-2022 ,
Transient morphing and optimal shape design of synthetic and natural active structures
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Luigi De Masi ,
2021-2022 ,
Existence and properties of minimal surfaces and varifolds with contact angle conditions
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Muhammad Mubarak ,
2021-2022 ,
Doubly Intermittent Maps with Critical Points and Singularities
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Nirav Vasant Shah ,
2021-2022 ,
Coupled parameterized reduced order modelling of thermomechanical phenomena arising in blast furnaces
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Sara Farinelli ,
2021-2022 ,
L^1-optimal transport and functional inequalities in spaces with curvature dimension condition
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Stefano Piani ,
2021-2022 ,
HDG methods and data-driven techniques for the van Roosbroeck model and its applications
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Emanuele Caputo ,
2020-2021 ,
Existence and uniqueness of parallel transport on non-collapsed RCD(K,N) spaces
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Francesco Nobili ,
2020-2021 ,
Geometric and analytic properties of metric measure spaces through Sobolev calculus
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- Rigidity and almost rigidity of Sobolev inequalities on compact spaces with lower Ricci curvature bounds (2021)
- A Differential Perspective on Gradient Flows on CAT(K)-Spaces and Applications (2021)
- On master test plans for the space of BV functions (2021)
- A first-order condition for the independence on p of weak gradients (2021)
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Francesco Sapio ,
2020-2021 ,
Dynamical models for viscoelastic materials in domains with a growing crack
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- An existence result for the fractional Kelvin–Voigt’s model on time-dependent cracked domains (2021)
- A dynamic model for viscoelasticity in domains with time-dependent cracks (2021)
- Quasistatic Limit of a Dynamic Viscoelastic Model with Memory (2021)
- A dynamic model for viscoelastic materials with prescribed growing cracks (2020)
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Giuliano Klun ,
2020-2021 ,
Topological methods for the search of solutions of nonlinear equations. From planar systems to ordinary and partial differential equations
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- Well-Ordered and Non-Well-Ordered Lower and Upper Solutions for Periodic Planar Systems (2021)
- Periodic Solutions of Second-Order Differential Equations in Hilbert Spaces (2021)
- Non-well-ordered lower and upper solutions for semilinear systems of PDEs (2021)
- On Dini derivatives of real functions (2021)
- On functions having coincident p-norms (2020)
- Periodic solutions of nearly integrable Hamiltonian systems bifurcating from infinite-dimensional tori (2020)
- On the topological degree of planar maps avoiding normal cones (2019)
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Ivan Yuri Violo ,
2020-2021 ,
Functional and geometric rigidities of RCD spaces and bi-Lipschitz Reifenberg's theorem in metric spaces
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Marco Tezzele ,
2020-2021 ,
Data-driven parameter and model order reduction for industrial optimisation problems with applications in naval engineering
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- Kernel-based active subspaces with application to computational fluid dynamics parametric problems using discontinuous Galerkin method (2022)
- A supervised learning approach involving active subspaces for an efficient genetic algorithm in high-dimensional optimization problems (2021)
- On the comparison of LES data-driven reduced order approaches for hydroacoustic analysis (2021)
- Hull Shape Design Optimization with Parameter Space and Model Reductions, and Self-Learning Mesh Morphing (2021)
- ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis (2021)
- Multi-fidelity data fusion for the approximation of scalar functions with low intrinsic dimensionality through active subspaces (2021)
- A local approach to parameter space reduction for regression and classification tasks (2021)
- Multi-fidelity data fusion through parameter space reduction with applications to automotive engineering (2021)
- Enhancing CFD predictions in shape design problems by model and parameter space reduction (2020)
- Reduced order isogeometric analysis approach for pdes in parametrized domains (2020)
- Advances in reduced order methods for parametric industrial problems in computational fluid dynamics (2020)
- Basic ideas and tools for projection-based model reduction of parametric partial differential equations (2020)
- Kernel-based Active Subspaces with application to CFD parametric problems using Discontinuous Galerkin method (2020)
- A non-intrusive approach for the reconstruction of POD modal coefficients through active subspaces (2019)
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Maria Strazzullo ,
2020-2021 ,
Model Order Reduction for Nonlinear and Time-Dependent Parametric Optimal Flow Control Problems
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- Driving bifurcating parametrized nonlinear PDEs by optimal control strategies: application to Navier–Stokes equations with model order reduction (2022)
- Reduced Order Methods for Parametrized Non-linear and Time Dependent Optimal Flow Control Problems, Towards Applications in Biomedical and Environmental Sciences (2021)
- Reduced Order Methods for Parametrized Non-linear and Time Dependent Optimal Flow Control Problems, Towards Applications in Biomedical and Environmental Sciences (2021)
- A weighted POD-reduction approach for parametrized PDE-constrained optimal control problems with random inputs and applications to environmental sciences (2021)
- A CERTIFIED REDUCED BASIS Method FOR LINEAR PARAMETRIZED PARABOLIC OPTIMAL CONTROL PROBLEMS IN SPACE-TIME FORMULATION (2021)
- AN EXTENDED PHYSICS INFORMED NEURAL NETWORK FOR PRELIMINARY ANALYSIS OF PARAMETRIC OPTIMAL CONTROL PROBLEMS (2021)
- Consistency of the full and reduced order models for Evolve-Filter-Relax Regularization of Convection-Dominated, Marginally-Resolved Flows (2021)
- POD-Galerkin Model Order Reduction for Parametrized Nonlinear Time Dependent Optimal Flow Control: an Application to Shallow Water Equations (2020)
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Matteo Zancanaro ,
2020-2021 ,
Model order reduction for compressible turbulent flows: hybrid approaches in physics and geometry parametrization
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Tommaso Rossi ,
2020-2021 ,
Heat content asymptotics in sub-Riemannian geometry
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Daniele Agostinelli ,
2019-2020 ,
Mathematical models for biological motility: From peristaltic crawling to plant nutations
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- Nutations in plant shoots: Endogenous and exogenous factors in the presence of mechanical deformations (2021)
- Nutations in growing plant shoots as a morphoelastic flutter instability (2021)
- MicroMotility: State of the art, recent accomplishments and perspectives on the mathematical modeling of bio-motility at microscopic scales (2020)
- Nutations in growing plant shoots: The role of elastic deformations due to gravity loading (2019)
- Peristaltic Waves as Optimal Gaits in Metameric Bio-Inspired Robots (2018)
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Ekaterina Mukoseeva ,
2019-2020 ,
Second variation techniques for stability in geometric inequalities
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Federico Pichi ,
2019-2020 ,
Reduced order models for parametric bifurcation problems in nonlinear PDEs
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- Model order reduction for bifurcating phenomena in fluid-structure interaction problems (2022)
- Driving bifurcating parametrized nonlinear PDEs by optimal control strategies: application to Navier–Stokes equations with model order reduction (2022)
- Efficient computation of bifurcation diagrams with a deflated approach to reduced basis spectral element method (2020)
- A Reduced Order technique to study bifurcating phenomena: application to the Gross-Pitaevskii equation (2020)
- Reduced basis approaches for parametrized bifurcation problems held by non-linear Von Kármán equations (2019)
- Reduced Basis Approximation and A Posteriori Error Estimation: Applications to Elasticity Problems in Several Parametric Settings (2018)
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Filippo Riva ,
2019-2020 ,
On the quasistatic limit of some dynamical problems with dissipative terms
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- A vanishing-inertia analysis for finite-dimensional rate-independent systems with nonautonomous dissipation and an application to soft crawlers (2021)
- On the Approximation of Quasistatic Evolutions for the Debonding of a Thin Film via Vanishing Inertia and Viscosity (2020)
- Existence and uniqueness of dynamic evolutions for a one dimensional debonding model with damping (2018)
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Flavia Santarcangelo ,
2019-2020 ,
Metric measure spaces satisfying curvature-dimension bounds: geometric and analytical properties
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Giovanni Corsi ,
2019-2020 ,
Fluid-structure interaction problems involving thin active shells and microswimmers
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Luca Franzoi ,
2019-2020 ,
Long time dynamics of Hamiltonian PDEs: linear Klein-Gordon and water waves equations
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Monica Nonino ,
2019-2020 ,
On the application of the Reduced Basis Method to Fluid-Structure Interaction problems
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- An optimisation-based domain-decomposition reduced order model for the incompressible Navier-Stokes equations (2022)
- A Monolithic and a Partitioned, Reduced Basis Method for Fluid–Structure Interaction Problems (2021)
- A Reduced Order Cut Finite Element method for geometrically parametrized steady and unsteady Navier–Stokes problems (2021)
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Saddam Hijazi ,
2019-2020 ,
Reduced order methods for laminar and turbulent flows in a finite volume setting: projection-based methods and data-driven techniques
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- The Effort of Increasing Reynolds Number in Projection-Based Reduced Order Methods: from Laminar to Turbulent Flows (2020)
- Non-intrusive Polynomial Chaos Method Applied to Full-Order and Reduced Problems in Computational Fluid Dynamics: A Comparison and Perspectives (2020)
- Data-driven POD-Galerkin reduced order model for turbulent flows (2020)
- POD-Galerkin reduced order methods for CFD using Finite Volume Discretisation: vortex shedding around a circular cylinder (2017)
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Alaa Aly Elsayed Aly Elshorbagy ,
2018-2019 ,
On the relaxed area of maps from the plane to itself taking three values
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Emanuele Tasso ,
2018-2019 ,
Some fine properties of SBV and SBD functions with applications to elastodynamics in domains with growing cracks
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Giovanni Alzetta ,
2018-2019 ,
Coupling methods for non-matching meshes through distributed Lagrange multipliers
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