A. Doostan

Bi-fidelity Variational Auto-encoder for Uncertainty Quantification
202313 citationsauthor #4
Onboard Density Modeling for Planetary Entry via Karhunen-Loève Expansion
20231 citationsauthor #2
In Situ Framework for Coupling Simulation and Machine Learning with Application to CFD
20236 citationsauthor #8
Rapid aerodynamic shape optimization under uncertainty using a stochastic gradient approach
202212 citationsauthor #2
QCNN: Quadrature Convolutional Neural Network with Application to Unstructured Data Compression
20220 citationsauthor #4
Influence of Non-Boltzmann Radiation around Titan Atmospheric Entry Vehicles
20224 citationsauthor #2
Automated processing of X-ray computed tomography images via panoptic segmentation for modeling woven composite textiles
20221 citationsauthor #3
Software tools to enable immersive simulation
20222 citationsauthor #4
A Priori Denoising Strategies for Sparse Identification of Nonlinear Dynamical Systems: A Comparative Study
202220 citationsauthor #3
Derivative-Based SINDy (DSINDy): Addressing the Challenge of Discovering Governing Equations from Noisy Data
202242 citationsauthor #2
QuadConv: Quadrature-based convolutions with applications to non-uniform PDE data compression
20229 citationsauthor #4
GenMod: A generative modeling approach for spectral representation of PDEs with random inputs
20221 citationsauthor #2
Bi-fidelity modeling of uncertain and partially unknown systems using DeepONets
202246 citationsauthor #5
Physics-Informed Neural Network Modeling of Li-Ion Batteries
20220 citationsauthor #5
Simultaneous Identification and Denoising of Dynamical Systems
202213 citationsauthor #3
Fast algorithms for least square problems with Kronecker lower subsets
20223 citationsauthor #5
Quadrature Sampling of Parametric Models with Bi-fidelity Boosting
20221 citationsauthor #5
Reliability-based topology optimization using stochastic gradients
202116 citationsauthor #3
Rapid Aerodynamic Shape Optimization Under Parametric and Turbulence Model Uncertainty: A Stochastic Gradient Approach
20211 citationsauthor #2
Bi-fidelity reduced polynomial chaos expansion for uncertainty quantification
20216 citationsauthor #4
Topology optimization under microscale uncertainty using stochastic gradients
20216 citationsauthor #3
Task-parallel in situ temporal compression of large-scale computational fluid dynamics data
20219 citationsauthor #3
Neural network training using ℓ1-regularization and bi-fidelity data
202130 citationsauthor #2
Deterministic matrix sketches for low-rank compression of high-dimensional simulation data
20212 citationsauthor #2
Prediction of Ultrasonic Guided Wave Propagation in Solid-fluid and their Interface under Uncertainty using Machine Learning
20212 citationsauthor #3
Acceleration of uncertainty propagation through Lagrange multipliers in partitioned stochastic method
20204 citationsauthor #3
On transfer learning of neural networks using bi-fidelity data for uncertainty propagation
202054 citationsauthor #6
S-frame discrepancy correction models for data-informed Reynolds stress closure
202012 citationsauthor #4
Sparse Identification of Nonlinear Dynamical Systems via Reweighted 𝓁s1-regularized Least Squares
202082 citationsauthor #3
Finite-Dimensional Density Representation for Aerocapture Uncertainty Quantification
202010 citationsauthor #2
Stochastic Gradient Optimization of Transonic Airfoils
20202 citationsauthor #2
A stochastic subspace approach to gradient-free optimization in high dimensions
202049 citationsauthor #3
Topology optimization under uncertainty using a stochastic gradient-based approach
201954 citationsauthor #4
Reduced-Basis Multifidelity Approach for Efficient Parametric Study of NACA Airfoils
201913 citationsauthor #2
In situ data compression for large-scale computational fluid dynamics simulations via interpolative decomposition methods
20190 citationsauthor #3
Physics-Informed Tolerance Allocation: A Surrogate-Based Framework for the Control of Geometric Variation on System Performance
20192 citationsauthor #2
Early Career Award: An Enabling Computational Framework for Uncertainty Assimilation and Propagation in Complex PDE Systems: Sparse and Low-rank Techniques (Final Report)
20190 citationsauthor #1
Stochastic Subspace Descent
201930 citationsauthor #3
Pass-efficient methods for compression of high-dimensional turbulent flow data
201919 citationsauthor #4
Pass-efficient methods for compression of high-dimensional particle-laden turbulent flow data
20191 citationsauthor #4
Generalized Non-Linear Eddy Viscosity Models for Data-Assisted Reynolds Stress Closure
20199 citationsauthor #4
Bi-fidelity stochastic gradient descent for structural optimization under uncertainty
201926 citationsauthor #3
Level Set Methods and Frames for Nonlinear Stochastic Problems
20180 citationsauthor #2
Bi-fidelity approximation for uncertainty quantification and sensitivity analysis of irradiated particle-laden turbulence.
201813 citationsauthor #5
Practical error bounds for a non-intrusive bi-fidelity approach to parametric/stochastic model reduction
201853 citationsauthor #4
Bi-fidelity approximation for uncertainty quantification and sensitivity analysis of irradiated particle-laden turbulence
201827 citationsauthor #5
Multi-fidelity uncertainty quantification of irradiated particle-laden turbulence
201832 citationsauthor #4
Enabling predictive reduced order modeling of high-fidelity wind plant simulations with in-situ modal decomposition and basis interpolation
20181 citationsauthor #3
Level set methods for stochastic discontinuity detection in nonlinear problems
20188 citationsauthor #2
Multi-fidelity uncertainty quantification strategies for large-scale multiphysics applications: PSAAP II particle-based solar energy receiver
20182 citationsauthor #4
Multi-fidelity Methods for Training Neural Networks
20180 citationsauthor #2
Basis adaptive sample efficient polynomial chaos (BASE-PC)
201745 citationsauthor #2
A generalized multi-resolution expansion for uncertainty propagation with application to cardiovascular modeling.
201735 citationsauthor #2
Sparse polynomial chaos expansions via compressed sensing and D-optimal design
2017110 citationsauthor #2
Basis Reduction for Uncertainty Quantification - A Bi-fidelity Approach
20170 citationsauthor #3
An Evaluation of Multi-Fidelity Modeling Efficiency on a Parametric Study of NACA Airfoils
20175 citationsauthor #2
Least squares polynomial chaos expansion: A review of sampling strategies
2017148 citationsauthor #2
Parametric/Stochastic Model Reduction: Low-Rank Representation, Non-Intrusive Bi-Fidelity Approximation, and Convergence Analysis
20179 citationsauthor #4
Shape Dependence of the Kinetic Deflection of Asteroids
201717 citationsauthor #4
Reduced cost mission design using surrogate models
201611 citationsauthor #3
Optimization via separated representations and the canonical tensor decomposition
20169 citationsauthor #3
Contributions of Microtubule Dynamic Instability and Rotational Diffusion to Kinetochore Capture.
201642 citationsauthor #8
Time‐dependent global sensitivity analysis with active subspaces for a lithium ion battery model
201648 citationsauthor #2
A low-rank control variate for multilevel Monte Carlo simulation of high-dimensional uncertain systems
201655 citationsauthor #2
Orbit uncertainty propagation and sensitivity analysis with separated representations
201611 citationsauthor #3
A Bi-Fidelity Approach for Uncertainty Quantification of Heat Transfer in a Rectangular Ribbed Channel
201626 citationsauthor #1
A well-posed and stable stochastic Galerkin formulation of the incompressible Navier-Stokes equations with random data
201612 citationsauthor #3
Multi-Element Trajectory Models for Satellite Tour Missions
20165 citationsauthor #4
Randomized Alternating Least Squares for Canonical Tensor Decompositions: Application to A PDE With Random Data
201537 citationsauthor #2
Heaviside enriched extended stochastic FEM for problems with uncertain material interfaces
20150 citationsauthor #3
On polynomial chaos expansion via gradient-enhanced ℓ1-minimization
201580 citationsauthor #3
Determination of the Polymer-Solvent Interaction Parameter for PEG Hydrogels in Water: Application of a Self Learning Algorithm.
201532 citationsauthor #5
Compressive Sampling Methods for Sparse Polynomial Chaos Expansions
201525 citationsauthor #2
KINETIC DEFLECTION UNCERTAINTIES FOR REAL ASTEROID SHAPES
20150 citationsauthor #3
On Uncertainty Quantification of Lithium-ion Batteries: Application to an LiC$_6$/LiCoO$_2$ cell
201554 citationsauthor #3
Variation of delivered impulse as a function of asteroid shape
20158 citationsauthor #4
Heaviside enriched extended stochastic FEM for problems with uncertain material interfaces
201523 citationsauthor #3
Postmaneuver Collision Probability Estimation Using Sparse Polynomial Chaos Expansions
201545 citationsauthor #3
Reduced Cost Maneuver Design Using Surrogate Models
20150 citationsauthor #3
On Uncertainty Quantification of Lithium-ion Batteries
20152 citationsauthor #3
Compressive sampling of polynomial chaos expansions: Convergence analysis and sampling strategies
2014221 citationsauthor #2
Comprehensive modeling of the effects of hazardous asteroid mitigation techniques
20140 citationsauthor #5
Partitioned Solution of Coupled Stochastic Problems
20141 citationsauthor #2
A simple and efficient preconditioning scheme for heaviside enriched XFEM
20140 citationsauthor #3
SPARSE MULTIRESOLUTION REGRESSION FOR UNCERTAINTY PROPAGATION
201422 citationsauthor #2
Smoothed aggregation algebraic multigrid for stochastic PDE problems with layered materials
201413 citationsauthor #2
Coherence motivated sampling and convergence analysis of least squares polynomial Chaos regression
2014154 citationsauthor #2
On stability and monotonicity requirements of finite difference approximations of stochastic conservation laws with random viscosity
20139 citationsauthor #2
Satellite collision probability estimation using polynomial chaos expansions
201384 citationsauthor #2
Variational Multiscale Analysis: The Fine-Scale Green's Function for Stochastic Partial Differential Equations
201339 citationsauthor #3
Partitioned treatment of uncertainty in coupled domain problems: A separated representation approach
201343 citationsauthor #2
A weighted l1-minimization approach for sparse polynomial chaos expansions
2013180 citationsauthor #3
Extended stochastic FEM for diffusion problems with uncertain material interfaces
201333 citationsauthor #2
Satellite Collision Probability Estimation Using Polynomial Chaos
20139 citationsauthor #2
Nonlinear Propagation of Orbit Uncertainty Using Non-Intrusive Polynomial Chaos
2013186 citationsauthor #2
A simple and efficient preconditioning scheme for heaviside enriched XFEM
2013108 citationsauthor #3
Non-intrusive low-rank separated approximation of high-dimensional stochastic models
2012101 citationsauthor #1
On stability and monotonicity requirements of discretized stochastic conservation laws with random viscosity
20120 citationsauthor #2
Extended stochastic FEM for diffusion problems with uncertain material interfaces
20120 citationsauthor #2
Stochastic identification of composite material properties from limited experimental databases, Part II: Uncertainty modelling
201260 citationsauthor #2

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