Karen Willcox

Karen Willcox

Oden Institute for Computational Engineering and Sciences, UT Austin
Email 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
Email 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
Email 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
Email 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
Email 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
Email 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
Email confirmado em cims.nyu.edu
Citado por 32
multifidelity methods Bayesian inference
Aimee Maurais

Aimee Maurais

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