Data Update
May you notice any obsolete information about one or more PhD thesis, please contact the current webmaster(s) .
-
Antonio Pedro De Azevedo Bezerra Vitor Ramos ,
2024-2025 ,
Fourier Optimization, de Branges Spaces, and Zeros of L-functions
Emanuel Carneiro
Related publication(s):
- Fourier optimization and pair correlation problems (2025)
- Zeros of L-functions in low-lying intervals and de Branges spaces (2025)
- Fourier optimization, the least quadratic non-residue, and the least prime in an arithmetic progression (2024)
- Fourier optimization and Montgomery’s pair correlation conjecture (2024)
- Sign uncertainty and de Branges spaces (2024)
- Sharp embeddings between weighted Paley-Wiener spaces (2023)
-
Ariel Surya Boiardi ,
2024-2025 ,
Nonreciprocal dynamics in soft active structures: From swimming filaments to odd periodic systems
Advisor(s):
-
Diego Silimbani ,
2024-2025 ,
Time-periodic solutions of completely resonant Hamiltonian PDEs related to negative cosmological constant spacetimes
Advisor(s):
-
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)
Related publication(s):
-
Harshith Gowrachari ,
2024-2025 ,
Towards real-time digital twins in steelmaking: The role of reduced order methods in continuous casting tundish process
Advisor(s):
Related publication(s):
- Towards Real-Time Digital Twins in Steelmaking: The Role of Reduced Order Methods in Continuous Casting Tundish Process (2025)
- Model Reduction for Transport-Dominated Problems via Cross-Correlation Based Snapshot Registration (2025)
- Non-intrusive model reduction of advection-dominated hyperbolic problems using neural network shift augmented manifold transformation (2024)
-
Irene Anello ,
2024-2025 ,
Mathematical modeling of spontaneous oscillations in flagellar and bio-inspired systems.
Advisor(s):
Related publication(s):
-
Lorenzo Bardone ,
2024-2025 ,
Learning Beyond the Gaussian Approximation: Algorithmic Hardness, Neural Network Dynamics and Independent Components
Advisor(s):
Related publication(s):
- Reduce and Conquer: Independent Component Analysis at linear sample complexity (2025)
- Feature learning from non-Gaussian inputs: the case of Independent Component Analysis in high dimensions (2025)
- Sliding Down the Stairs: How Correlated Latent Variables Accelerate Learning with Neural Networks (2024)
- Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks (2024)
-
Moaad Khamlich ,
2024-2025 ,
Advanced Optimal Transport Strategies for Efficient Computation and Reduced Order Modeling in Complex Systems
Advisor(s):
Related publication(s):
- Optimal Transport–Inspired Deep Learning Framework for Slow-Decaying Kolmogorov \(n\)-Width Problems: Exploiting Sinkhorn Loss and Wasserstein Kernel (2025)
- Optimal transport-based displacement interpolation with data augmentation for reduced order modeling of nonlinear dynamical systems (2025)
- A physics-based reduced order model for urban air pollution prediction (2023)
- Model order reduction for bifurcating phenomena in fluid-structure interaction problems (2022)
- Chapter 15: Reduced Order Models for Bifurcating Phenomena in Fluid-Structure Interaction Problems (2022)
- EMoCy: Towards Physiological Signals-Based Stress Detection (2021)
-
Pierfrancesco Siena ,
2024-2025 ,
From Numerical Discretization to Real-Time Simulation: Reduced Order Models in Cardiovascular Hemodynamics
Advisor(s):
Related publication(s):
- A hybrid reduced order model to enforce outflow pressure boundary conditions in computational hemodynamics (2025)
- A reduced order model formulation for left atrium flow: an atrial fibrillation case (2024)
- On the accuracy and efficiency of reduced order models: Towards real-world applications (2024)
- Data-Driven Reduced Order Modelling for Patient-Specific Hemodynamics of Coronary Artery Bypass Grafts with Physical and Geometrical Parameters (2023)
- Fast and accurate numerical simulations for the study of coronary artery bypass grafts by artificial neural networks (2023)
- A data-driven reduced order method for parametric optimal blood flow control (2022)
-
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):
-
Simone Vincini ,
2024-2025 ,
Variational problems in a nonsmooth geometric setting
Advisor(s):
Related publication(s):
-
Daniele Tiberio ,
2023-2024 ,
Sard properties for polynomial maps in infinite dimension and applications to sub-Riemannian geometry
Advisor(s):
Related publication(s):
- 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)
-
Giacomo Maria Leccese ,
2023-2024 ,
Dissipative solutions to Hamiltonian system, and one conjecture for non autonomous viscous conservation laws and one in measure theory
Advisor(s):
-
Luca Gennaioli ,
2023-2024 ,
Geometric analysis and measure theory in general ambient spaces
Advisor(s):
Related publication(s):
- 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)
-
Marco Feder ,
2023-2024 ,
Non-matching and polytopic finite element techniques with applications to multilevel methods
Advisor(s):
Related publication(s):
-
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):
Related publication(s):
- 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)
-
Fabio Marconi ,
2022/2023 ,
A general splitting principle on the non-smooth setting and applications
Advisor(s):
Related publication(s):
-
Davide Manini ,
2022-2023 ,
Isoperimetric inequalities in non-compact spaces
Advisor(s):
-
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)
-
Ivan Prusak ,
2022-2023 ,
Application of optimisation-based domain-decomposition reduced order models to parameter-dependent fluid dynamics and multiphysics problems
Advisor(s):
-
Martina Zizza ,
2022-2023 ,
Some results on mixing flows and on the blocking fire problem
Advisor(s):
Related publication(s):
-
Paolo Ventura ,
2022-2023 ,
Benjamin-Feir instability in Stokes waves
Advisor(s):
Related publication(s):
- Infinitely many isolas of modulational instability for Stokes waves (2024)
- Stokes waves at the critical depth are modulationally unstable (2024)
- First isola of modulational instability of Stokes waves in deep water (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)
-
Simone Carano ,
2022-2023 ,
Area functional and relaxation: an approach in dimension 2 and codimension 2 via strict BV-convergence
Advisor(s):
-
Alessandro Scagliotti ,
2021-2022 ,
Ensembles of affine-control systems with applications to Deep Learning
Advisor(s):
Related publication(s):
-
Dario Andrini ,
2021-2022 ,
Transient morphing and optimal shape design of synthetic and natural active structures
Advisor(s):
Related publication(s):
-
Federico Cianci ,
2021-2022 ,
On some viscoelastic problems with memory in time-dependent domains
Advisor(s):
Related publication(s):
-
Federico Murgante ,
2021-2022 ,
Hamiltonian PDEs in fluid dynamics: local and long time existence results
Advisor(s):
Related publication(s):
-
Laura Meneghetti ,
2021-2022 ,
A Reduced Order Approach for Artificial Neural Networks applied to Object Recognition
Advisor(s):Industrial Advisor: Daniele Turrin
-
Luigi De Masi ,
2021-2022 ,
Existence and properties of minimal surfaces and varifolds with contact angle conditions
Advisor(s):
Related publication(s):
-
Muhammad Mubarak ,
2021-2022 ,
Doubly Intermittent Maps with Critical Points and Singularities
Advisor(s):