Karen Willcox

Karen Willcox

Oden Institute for Computational Engineering and Sciences, UT Austin
E-mail confirmado em oden.utexas.edu
Citado por 19846
model reduction multifidelity methods digital twin uncertainty quantification educational analytics
Leifur Leifsson

Leifur Leifsson

Associate Professor, School of Aeronautics and Astronautics, Purdue University
E-mail confirmado em purdue.edu
Citado por 3560
surrogate methods reduced order modeling multifidelity methods multidisciplinary design
Douglas Allaire

Douglas Allaire

Associate Professor, Texas A&M University
E-mail confirmado em tamu.edu
Citado por 2110
optimization uncertainty quantification multifidelity methods machine learning
Anirban Chaudhuri

Anirban Chaudhuri

Oden Institute for Computational Engineering and Sciences, UT Austin
E-mail confirmado em oden.utexas.edu
Citado por 967
Multifidelity methods Machine learning in engineering Optimization under uncertainty Risk analysis Monte Carlo methods
Haizhou Yang

Haizhou Yang

University of Michigan
E-mail confirmado em umich.edu
Citado por 81
Data-driven Modeling Multifidelity Methods Design Optimization Uncertainty Quantification
Aniket Jivani

Aniket Jivani

Graduate Student, University of Michigan
E-mail confirmado em umich.edu
Citado por 41
Uncertainty Quantification Multifidelity Methods Surrogate Models Polynomial Chaos Expansions
Terrence Alsup

Terrence Alsup

PhD candidate, New York University
E-mail confirmado em cims.nyu.edu
Citado por 32
multifidelity methods Bayesian inference
Aimee Maurais

Aimee Maurais

Graduate Research Fellow, Massachusetts Institute of Technology
E-mail confirmado em mit.edu
Citado por 14
Data Assimilation Multifidelity Methods Covariance Estimation