Data Update
May you notice any obsolete information about one or more PhD thesis, please contact the current webmaster(s) .
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Anantha Krishnan Orunnukaran Mani ,
2025-2026 ,
Parameterized Orthotropic Plate Systems: Numerical Methods and Model Reduction — From High-Fidelity C⁰ Interior-Penalty Discretizations to Reduced-Order Models for Plates on Elastic Foundations
Advisor(s):
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Anna Ivagnes ,
2025-2026 ,
From Filtering to Data-Driven Closures: Stabilization Strategies for Convection-dominated Flow Simulations
Advisor(s):
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Anouar Dahdah ,
2025-2026 ,
Data-Driven Geometric Representation and Flow-Field Prediction in Industrial Fluid Dynamics
Advisor(s):
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Dario Coscia ,
2025-2026 ,
Generative Artificial Intelligence and Uncertainty Quantification for Scientific Discovery
Advisor(s):Max Welling
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Davide Donati ,
2025-2026 ,
Some new applications of Γ-convergence to free discontinuity problems, phase transitions, and nonlocal models
Advisor(s):
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Giuseppe Cosma Brusca ,
2025-2026 ,
Non-local models in homogenization and phase transitions
Advisor(s):
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Lorenzo Fabris ,
2025-2026 ,
Data-Driven Reduced Order Modelling and Transfer Learning for the Structural Optimization of Cruise Ships
Advisor(s):Marco Tezzele
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Maria Teresa Rotolo ,
2025-2026 ,
Depicting instabilities in linear dispersive PDEs: a dynamical systems approach
Advisor(s):Beatrice Langella
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Michele Motta ,
2025-2026 ,
Second-order optimality conditions and other problems in geometric optimal control
Advisor(s):
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Pranjivan Mehta Pavan ,
2025-2026 ,
Fractional Conservational Laws For Fluid Flow From First Principles
Advisor(s):
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Roberto Marchello ,
2025-2026 ,
Mechanical instabilities in soft active materials: Flutter in electroactive structures and surface instability in magnetoelastic solids
Advisor(s):
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Thomas Beretti ,
2025-2026 ,
Geometric features of Fourier transform and applications to discrepancy theory
Advisor(s):Luca Brandolini
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Tolibjon Ismoilov ,
2025-2026 ,
Extremal Problems in Fourier Analysis and Applications to Number Theory
Emanuel Carneiro
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Antonio Pedro De Azevedo Bezerra Vitor Ramos ,
2024-2025 ,
Fourier Optimization, de Branges Spaces, and Zeros of L-functions
Emanuel Carneiro
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- 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)
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Ariel Surya Boiardi ,
2024-2025 ,
Nonreciprocal dynamics in soft active structures: From swimming filaments to odd periodic systems
Advisor(s):
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Diego Silimbani ,
2024-2025 ,
Time-periodic solutions of completely resonant Hamiltonian PDEs related to negative cosmological constant spacetimes
Advisor(s):
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Fabrizio Caragiulo ,
2024-2025 ,
Multiscale phenomena in quantum and classical models
Advisor(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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Hamza Ounesli ,
2024-2025 ,
Some realization problems in smooth Ergodic theory
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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)
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Irene Anello ,
2024-2025 ,
Mathematical modeling of spontaneous oscillations in flagellar and bio-inspired systems.
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Lorenzo Bardone ,
2024-2025 ,
Learning Beyond the Gaussian Approximation: Algorithmic Hardness, Neural Network Dynamics and Independent Components
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- 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)
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Moaad Khamlich ,
2024-2025 ,
Advanced Optimal Transport Strategies for Efficient Computation and Reduced Order Modeling in Complex Systems
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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)
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Oliviero Malech ,
2024-2025 ,
Exotic surfaces in 4-manifolds, stabilizations, and framings
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Pierfrancesco Siena ,
2024-2025 ,
From Numerical Discretization to Real-Time Simulation: Reduced Order Models in Cardiovascular Hemodynamics
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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)
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Sajad Salavatidezfouli ,
2024-2025 ,
Integration of Computational Techniques for System Modeling and Data Assimilation in Industrial and Life Science Problems
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Simone Vincini ,
2024-2025 ,
Variational problems in a nonsmooth geometric setting
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Younes El Maamoun Benyahia ,
2024-2025 ,
Indirect constructions of exotic surfaces in 4-manifolds
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Daniele Tiberio ,
2023-2024 ,
Sard properties for polynomial maps in infinite dimension and applications to sub-Riemannian geometry
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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)
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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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