Karen Willcox

Karen Willcox

Oden Institute for Computational Engineering and Sciences, UT Austin
Email verificata su oden.utexas.edu
Citato da 20456
model reduction multifidelity methods digital twin uncertainty quantification educational analytics
Leifur Leifsson

Leifur Leifsson

Associate Professor, School of Aeronautics and Astronautics, Purdue University
Email verificata su purdue.edu
Citato da 3654
surrogate methods reduced order modeling multifidelity methods multidisciplinary design
Douglas Allaire

Douglas Allaire

Associate Professor, Texas A&M University
Email verificata su tamu.edu
Citato da 2178
optimization uncertainty quantification multifidelity methods machine learning
Anirban Chaudhuri

Anirban Chaudhuri

Oden Institute for Computational Engineering and Sciences, UT Austin
Email verificata su oden.utexas.edu
Citato da 999
Multifidelity methods Machine learning in engineering Optimization under uncertainty Risk analysis Monte Carlo methods
Haizhou Yang

Haizhou Yang

University of Michigan
Email verificata su umich.edu
Citato da 86
Data-driven Modeling Multifidelity Methods Design Optimization Uncertainty Quantification
Aniket Jivani

Aniket Jivani

Graduate Student, University of Michigan
Email verificata su umich.edu
Citato da 42
Uncertainty Quantification Multifidelity Methods Surrogate Models Polynomial Chaos Expansions
Terrence Alsup

Terrence Alsup

PhD candidate, New York University
Email verificata su cims.nyu.edu
Citato da 32
multifidelity methods Bayesian inference
Aimee Maurais

Aimee Maurais

Graduate Research Fellow, Massachusetts Institute of Technology
Email verificata su mit.edu
Citato da 20
Data Assimilation Multifidelity Methods Covariance Estimation
Benjamin Zastrow

Benjamin Zastrow

University of Texas at Austin
Email verificata su utexas.edu
Citato da 15
model reduction multifidelity methods uncertainty quantification