Data Update
May you notice any obsolete information about one or more PhD thesis, please contact the current webmaster(s) .
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Giulio Ortali ,
2024-2025 ,
Data-Driven Modeling of Emergent Statistical Behavior in Fluid Dynamics: from Turbulence to Dense Emulsions
Advisor(s):Federico Toschi (Eindhoven University of Technology)
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Sajad Salavatidezfouli ,
2024-2025 ,
Integration of Computational Techniques for System Modeling and Data Assimilation in Industrial and Life Science Problems
Advisor(s):
Related publication(s):
- Effect of particle aspect ratio in targeted drug delivery in abdominal aortic aneurysm (2024)
- Modal Analysis of the Wake Shed Behind a Horizontal Axis Wind Turbine with Flexible Blades (2024)
- A predictive surrogate model for heat transfer of an impinging jet on a concave surface (2024)
- Mesh-Informed Reduced Order Models for Aneurysm Rupture Risk Prediction (2024)
- Computations for Sustainability (2024)
- Stochastic Parameter Prediction in Cardiovascular Problems (2024)
- Applicable Methodologies for the Mass Transfer Phenomenon in Tumble Dryers: A Review (2023)
- Assessment of icing effects on the wake shed behind a vertical axis wind turbine (2023)
- Assessment of URANS and LES methods in predicting wake shed behind a vertical axis wind turbine (2023)
- Deep reinforcement learning for the heat transfer control of pulsating impinging jets (2023)
- Applicable Methodologies for the Mass Transfer Phenomenon in Tumble Dryers: A Review (2023)
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Daniele Tiberio ,
2023-2024 ,
Sard properties for polynomial maps in infinite dimension and applications to sub-Riemannian geometry
Advisor(s):
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- The Michor-Mumford conjecture in Hilbertian H-type groups (2024)
- Sard properties for polynomial maps in infinite dimension (2024)
- Quantitative approximate definable choices (2024)
- On the Michor–Mumford phenomenon in the infinite dimensional Heisenberg group (2022)
- A remark on vanishing geodesic distances in infinite dimensions (2020)
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Giacomo Maria Leccese ,
2023-2024 ,
Dissipative solutions to Hamiltonian system, and one conjecture for non autonomous viscous conservation laws and one in measure theory
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Luca Gennaioli ,
2023-2024 ,
Geometric analysis and measure theory in general ambient spaces
Advisor(s):
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- Fourier transform of BV functions, isoperimetry, and discrepancy theory (2024)
- A note about charts built by Eriksson-Bique and Soultanis on metric measure spaces (2024)
- Comments on the regularity of harmonic maps between singular spaces (2024)
- On the Hausdorff Measure of $\mathbbR^n$ with the Euclidean Topology (2023)
- Asymptotics as $s \to 0^+$ of the fractional perimeter on Riemannian manifolds (2023)
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Marco Feder ,
2023-2024 ,
Non-matching and polytopic finite element techniques with applications to multilevel methods
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Valentin Nkana Ngan ,
2023-2024 ,
Hybrid reduced-order methods for segregated fluid-structure interaction solvers in an ALE approach using the Finite Volume Method.
Advisor(s):
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- A hybrid reduced-order model for segregated fluid-structure interaction solvers in an ALE approach at high Reynolds number (2024)
- A segregated reduced order model of a pressure-based solver for turbulent compressible flows (2024)
- A reduced-order model for segregated fluid-structure interaction solvers based on an ALE approach (2022)
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Fabio Marconi ,
2022/2023 ,
A general splitting principle on the non-smooth setting and applications
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Davide Manini ,
2022-2023 ,
Isoperimetric inequalities in non-compact spaces
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Francesco Romor ,
2022-2023 ,
Nonlinear Parameter Space and Model Order Reductions enhanced by scientific machine learning
Advisor(s):
Related publication(s):
- Generative models for the deformation of industrial shapes with linear geometric constraints: Model order and parameter space reductions. (2024)
- Non-linear manifold reduced-order models with convolutional autoencoders and reduced over-collocation method (2023)
- Friedrichs' systems discretized with the Discontinuous Galerkin method: domain decomposable model order reduction and Graph Neural Networks approximating vanishing viscosity solutions (2023)
- Explicable hyper-reduced order models on nonlinearly approximated solution manifolds of compressible and incompressible Navier-Stokes equations (2023)
- Kernel-based active subspaces with application to computational fluid dynamics parametric problems using discontinuous Galerkin method (2022)
- 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)
- Kernel-based Active Subspaces with application to CFD parametric problems using Discontinuous Galerkin method (2020)
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Ivan Prusak ,
2022-2023 ,
Application of optimisation-based domain-decomposition reduced order models to parameter-dependent fluid dynamics and multiphysics problems
Advisor(s):
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Martina Zizza ,
2022-2023 ,
Some results on mixing flows and on the blocking fire problem
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Paolo Ventura ,
2022-2023 ,
Benjamin-Feir instability in Stokes waves
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Related publication(s):
- Stokes waves at the critical depth are modulationally unstable (2024)
- First isola of modulational instability of Stokes waves in deep water (2024)
- Infinitely many isolas of modulational instability for Stokes waves (2024)
- Benjamin-Feir instability of Stokes waves in finite depth (2023)
- On the analyticity of the Dirichlet-Neumann operator and Stokes waves (2022)
- Full description of Benjamin-Feir instability of Stokes waves in deep water (2022)
- Benjamin-Feir instability of Stokes waves (2022)
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Simone Carano ,
2022-2023 ,
Area functional and relaxation: an approach in dimension 2 and codimension 2 via strict BV-convergence
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Alessandro Scagliotti ,
2021-2022 ,
Ensembles of affine-control systems with applications to Deep Learning
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Dario Andrini ,
2021-2022 ,
Transient morphing and optimal shape design of synthetic and natural active structures
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Federico Cianci ,
2021-2022 ,
On some viscoelastic problems with memory in time-dependent domains
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Federico Murgante ,
2021-2022 ,
Hamiltonian PDEs in fluid dynamics: local and long time existence results
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Laura Meneghetti ,
2021-2022 ,
A Reduced Order Approach for Artificial Neural Networks applied to Object Recognition
Advisor(s):Industrial Advisor: Daniele Turrin
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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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Related publication(s):
- 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)
- Rigidity and almost rigidity of Sobolev inequalities on compact spaces with lower Ricci curvature bounds (2021)
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Francesco Sapio ,
2020-2021 ,
Dynamical models for viscoelastic materials in domains with a growing crack
Advisor(s):
Related publication(s):
- 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
Advisor(s):
Related publication(s):
- 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
Advisor(s):
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Marco Tezzele ,
2020-2021 ,
Data-driven parameter and model order reduction for industrial optimisation problems with applications in naval engineering
Advisor(s):
Related publication(s):
- A Data-Driven Partitioned Approach for the Resolution of Time-Dependent Optimal Control Problems with Dynamic Mode Decomposition (2023)
- Kernel-based active subspaces with application to computational fluid dynamics parametric problems using discontinuous Galerkin method (2022)
- 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)
- A supervised learning approach involving active subspaces for an efficient genetic algorithm in high-dimensional optimization problems (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)