Owhadi, Houman

Committee Member — 67 thesises

• Shadden, Shawn Christopher — A Dynamical Systems Approach to Unsteady Systems (2006, Dissertation (Ph.D.))
• Amlani, Faisal — A New High-Order Fourier Continuation-Based Elasticity Solver for Complex Three-Dimensional Geometries (2014, Dissertation (Ph.D.))
• Wang, Ke — A Subdivision Approach to the Construction of Smooth Differential Forms (2008, Dissertation (Ph.D.))
• Monro, John Anderson — A Super-Algebraically Convergent, Windowing-Based Approach to the Evaluation of Scattering from Periodic Rough Surfaces (2008, Dissertation (Ph.D.))
• Cheng, Mulin — Adaptive Methods Exploring Intrinsic Sparse Structures of Stochastic Partial Differential Equations (2013, Dissertation (Ph.D.))
• Othmer, Jonathan Andrew — Algorithms for Mapping Nucleic Acid Free Energy Landscapes (2009, Dissertation (Ph.D.))
• Garza Gonzalez, Emmanuel — Boundary Integral Equation Methods for Simulation and Design of Photonic Devices (2020, Dissertation (Ph.D.))
• Plan, Yaniv — Compressed Sensing, Sparse Approximation, and Low-Rank Matrix Estimation (2011, Dissertation (Ph.D.))
• Zhang, Pengchuan — Compressing Positive Semidefinite Operators with Sparse/Localized Bases (2017, Dissertation (Ph.D.))
• Chen, Yuhua Richard — Concentration Inequalities of Random Matrices and Solving Ptychography with a Convex Relaxation (2017, Dissertation (Ph.D.))
• Demanet, Laurent — Curvelets, Wave Atoms, and Wave Equations (2006, Dissertation (Ph.D.))
• Donaldson, Roger David — Discrete Geometric Homogenisation and Inverse Homogenisation of an Elliptic Operator (2008, Dissertation (Ph.D.))
• Betea, Dan Dumitru — Elliptic Combinatorics and Markov Processes (2012, Dissertation (Ph.D.))
• Chern, Albert Ren-Haur — Fluid Dynamics with Incompressible Schrödinger Flow (2017, Dissertation (Ph.D.))
• Mason, Gemma Ellen — Full and Model-Reduced Structure-Preserving Simulation of Incompressible Fluids (2015, Dissertation (Ph.D.))
• Darcy, Matthieu D. — Gaussian Processes for Scientific Machine Learning: PDE Solvers and Operator Learning (2027, Dissertation (Ph.D.))
• Leibovici, Daniel Victor — General Domain FC-Based Shock Dynamics Solver (2024, Dissertation (Ph.D.))
• Cubillos-Moraga, Max Anton — General-Domain Compressible Navier-Stokes Solvers Exhibiting Quasi-Unconditional Stability and High Order Accuracy in Space and Time (2015, Dissertation (Ph.D.))
• Jacobs, Henry Ochi — Geometric Descriptions of Couplings in Fluids and Circuits (2012, Dissertation (Ph.D.))
• Stern, Ari Joshua — Geometric Discretization of Lagrangian Mechanics and Field Theories (2009, Dissertation (Ph.D.))
• Ferrari de Goes, Fernando — Geometric Discretization through Primal-Dual Meshes (2014, Dissertation (Ph.D.))
• Sanan, Patrick David — Geometric Elasticity for Graphics, Simulation, and Computation (2014, Dissertation (Ph.D.))
• Tyranowski, Tomasz Michal — Geometric Integration Applied to Moving Mesh Methods and Degenerate Lagrangians (2014, Dissertation (Ph.D.))
• Kharevych, Liliya — Geometric Interpretation of Physical Systems for Improved Elasticity Simulations (2010, Dissertation (Ph.D.))
• Budninskiy, Maxim A. — Geometry-Driven Model Reduction (2019, Dissertation (Ph.D.))
• Elling, Timothy James — GPU-Accelerated Fourier-Continuation Solvers and Physically Exact Computational Boundary Conditions for Wave Scattering Problems (2013, Dissertation (Ph.D.))
• Bou-Rabee, Nawaf Mohammed — Hamilton-Pontryagin Integrators on Lie Groups (2007, Dissertation (Ph.D.))
• Lintner, Stéphane Karl — High-Order Integral Equation Methods for Diffraction Problems Involving Screens and Apertures (2012, Dissertation (Ph.D.))
• Anderson, Thomas Geoffrey — Hybrid Frequency-Time Analysis and Numerical Methods for Time-Dependent Wave Propagation (2021, Dissertation (Ph.D.))
• Schäfer, Florian Tobias — Inference, Computation, and Games (2021, Dissertation (Ph.D.))
• Burov, Dmitry Anatolyevich — Kernel Methods for Learning About Complex Dynamical Systems (2024, Dissertation (Ph.D.))
• Yoo, Gene Ryan — Learning Patterns with Kernels and Learning Kernels from Patterns (2021, Dissertation (Ph.D.))
• Grubits, Katalin Anna — Low-Dimensional Representations of Transitions in Molecular Systems (2008, Dissertation (Ph.D.))
• Zhang, Ziyun — Low-Rank Matrix Recovery: Manifold Geometry and Global Convergence (2023, Dissertation (Ph.D.))
• Levine, Matthew Emanuel — Machine Learning and Data Assimilation for Blending Incomplete Models and Noisy Data (2023, Dissertation (Ph.D.))
• Kovachki, Nikola Borislavov — Machine Learning and Scientific Computing (2022, Dissertation (Ph.D.))
• Zhang, Lei — Metric Based Upscaling for Partial Differential Equations with a Continuum of Scales (2007, Dissertation (Ph.D.))
• Tao, Molei — Multiscale Geometric Integration of Deterministic and Stochastic Systems (2011, Dissertation (Ph.D.))
• Ci, Maolin — Multiscale Model Reduction Methods for Deterministic and Stochastic Partial Differential Equations (2014, Dissertation (Ph.D.))
• Hu, Xin — Multiscale Modeling and Computation of 3D Incompressible Turbulent Flows (2012, Dissertation (Ph.D.))
• Vyetrenko, Svitlana S. — Network Coding for Error Correction (2011, Dissertation (Ph.D.))
• Helgason, Hannes — Nonparametric Detection and Estimation of Highly Oscillatory Signals (2008, Dissertation (Ph.D.))
• Chen, Yifan — On Multiscale and Statistical Numerical Methods for PDEs and Inverse Problems (2023, Dissertation (Ph.D.))
• Calvello, Edoardo — Operator Learning for Inference in Dynamical Systems (2026, Dissertation (Ph.D.))
• Trautner, Margaret Katherine — Operator Learning for Scientific Computing (2025, Dissertation (Ph.D.))
• Han, Shuo — Optimal Uncertainty Quantification via Convex Optimization and Relaxation (2014, Dissertation (Ph.D.))
• Batlle Franch, Pau — Optimization-Based Statistical Inference: Constrained Inverse Problems, Worst-Case Priors, and Kernel Regression (2025, Dissertation (Ph.D.))
• Huang, De — Positive Definite Matrices: Compression, Decomposition, Eigensolver, and Concentration (2020, Dissertation (Ph.D.))
• Ahn, Hyoung Jun — Random Propagation in Complex Systems: Nonlinear Matrix Recursions and Epidemic Spread (2014, Dissertation (Ph.D.))
• Moreno Ferreira, Elvira — Scalable Approximation through Structure: Spectral Methods for Polynomial Optimization and Adaptive Sampling in Kernel Quadrature (2026, Dissertation (Ph.D.))
• Beni, Catherine Elizabeth — Simulation Capabilities for Challenging Medical Imaging and Treatment Planning Problems (2011, Dissertation (Ph.D.))
• Chen, Jiajie — Singularity Formation in Incompressible Fluids and Related Models (2022, Dissertation (Ph.D.))
• Zhang, Shumao — Singularity Formation in the High-Dimensional Euler Equations and Sampling of High-Dimensional Distributions by Deep Generative Networks (2023, Dissertation (Ph.D.))
• Wang, Yixuan — Singularity Formation: Synergy in Theoretical, Numerical and Machine Learning Approaches (2026, Dissertation (Ph.D.))
• Randall, Paige Alicia — Sparse Recovery via Convex Optimization (2009, Dissertation (Ph.D.))
• Tavallali, Peyman — Sparse Time-Frequency Data Analysis: A Multi-Scale Approach (2014, Dissertation (Ph.D.))
• Liu, Pengfei — Spatial Profiles in the Singular Solutions of the 3D Euler Equations and Simplified Models (2017, Dissertation (Ph.D.))
• Nelsen, Nicholas Hao — Statistical Foundations of Operator Learning (2024, Dissertation (Ph.D.))
• Dondl, Patrick Werner — Structure and Evolution of Martensitic Phase Boundaries (2007, Dissertation (Ph.D.))
• Bauinger, Christoph — The "Interpolated Factored Green Function" Method (2023, Dissertation (Ph.D.))
• Habbal, Feras — The Optimal Transportation Meshfree Method for General Fluid Flows and Strongly Coupled Fluid-Structure Interaction Problems (2009, Dissertation (Ph.D.))
• Gittens, Alex A. — Topics in Randomized Numerical Linear Algebra (2013, Dissertation (Ph.D.))
• Lucas, Leonard Joseph — Uncertainty Quantification Using Concentration-of-Measure Inequalities (2009, Dissertation (Ph.D.))
• Westhead, Andrew Neil — Upscaling for Two-Phase Flows in Porous Media (2005, Dissertation (Ph.D.))
• Fernandez-Lado, Agustin Gabriel — Wave-Scattering by Periodic Media (2020, Dissertation (Ph.D.))
• Luo, Wuan — Wiener Chaos Expansion and Numerical Solutions of Stochastic Partial Differential Equations (2006, Dissertation (Ph.D.))
• Pérez Arancibia, Carlos Andrés — Windowed Integral Equation Methods for Problems of Scattering by Defects and Obstacles in Layered Media (2017, Dissertation (Ph.D.))