Karen Willcox

University of Texas at Austin

United States

Research Interests

Explore related searches

Professors in United States Professors in Statistics Statistics professors in United States

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Articles (20)

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Collaborators (6)

Stephen Wright

Professor

University of Wisconsin-Madison

UNITED STATES

View details

Laura Balzano

University of Michigan

UNITED STATES

View details

Mark Girolami

Professor at University of Cambridge

University of Cambridge

UNITED KINGDOM

View details

Parisa Khodabakhshi

Lehigh University

UNITED STATES

View details

Boris Kramer

Assistant Professor

University of California, San Diego

UNITED STATES

View details

Ionut Farcas

Assistant Professor

Virginia Tech

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Karen Willcox

Research Interests

Explore related searches

Contact this professor

Articles (20)

Non-intrusive reduced-order modeling for dynamical systems with spatially localized features

Distributed computing for physics-based data-driven reduced modeling at scale: Application to a rotating detonation rocket engine

Digital twins in mechanical and aerospace engineering

The role of computational science in digital twins

Learning physics-based reduced-order models from data using nonlinear manifolds

A digital twin framework for civil engineering structures

A digital twin framework for civil engineering structures

Learning Nonlinear Reduced Models from Data with Operator Inference

Nonintrusive Reduced-Order Models for Parametric Partial Differential Equations via Data-Driven Operator Inference

Multi-output multilevel best linear unbiased estimators via semidefinite programming

Multi-output multilevel best linear unbiased estimators via semidefinite programming

Operator inference for non-intrusive model reduction with quadratic manifolds

Interpolatory Methods for Model Reduction [Bookshelf]

Stress-constrained topology optimization of lattice-like structures using component-wise reduced order models

Localized non-intrusive reduced-order modelling in the operator inference framework

Non-intrusive data-driven model reduction for differential–algebraic equations derived from lifting transformations

A multifidelity method for a nonlocal diffusion model

Conditional reliability analysis in high dimensions based on controlled mixture importance sampling and information reuse

Scaling digital twins from the artisanal to the industrial

A probabilistic graphical model foundation for enabling predictive digital twins at scale

Collaborators (6)

Stephen Wright

Laura Balzano

Mark Girolami

Parisa Khodabakhshi

Boris Kramer

Ionut Farcas

Make your next move.