Reduced Order Modeling Professors in Global

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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
constrained optimization
distributed optimization
machine learning
optimization algorithms
stochastic optimization
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Reem Khir
Purdue University United States of America
constrained optimization
machine learning
system modeling
robust stochastic optimization
optimization
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Kalyanmoy Deb
Michigan State University United States of America
machine learning
computational optimization
multi-objective optimization
meta-modeling optimization
hybrid optimization algorithms
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Maria Rodriguez
Uppsala University Sweden
constraint modelling
problem modelling
discrete optimization
combinatorial optimization
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Albert Berahas
University of Michigan United States of America
constrained optimization
machine learning optimization
distributed optimization
stochastic optimization
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Prashant Singh
Uppsala University Sweden
constrained multi-objective optimization
machine learning
inverse modeling
optimization
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Jaime Ide
Yale University United States of America
theoretical modeling
machine learning
predictive modeling
pattern recognition
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Yaoliang Yu
University of Waterloo Canada
machine learning
optimization algorithms
generative modelling
robust stochastic optimization
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Magnus Röding
Chalmers University of Technology Sweden
machine learning
stochastic modeling
statistical modeling
physical modeling
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Cynthia Vinzant
University of Washington United States of America
mathematical optimization
linear optimization
discrete optimization
combinatorial optimization
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Nathan Kallus
Cornell University Netherlands
machine learning
modeling
optimization
stochastic optimization
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Fangxin Fang
Imperial College London United Kingdom
model reduction
machine learning
predictive modeling
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Tobias Breiten
Technical University of Berlin Germany
model reduction
modeling
optimization
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Arson Lab
Cornell University Netherlands
model reduction
numerical modeling
multi-scale modeling
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Jelena Diakonikolas
University of Wisconsin–Madison United States of America
first-order optimization algorithms
machine learning
large-scale optimization
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Lennart Baardman
University of Michigan United States of America
mathematical modeling
machine learning
optimization
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Till Bretschneider
University of Warwick United Kingdom
image-based modeling
machine learning
generative modeling
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Aram Bahrini
University of Illinois United States of America
mathematical modeling
machine learning
optimization
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Ralf Peeters
Maastricht University Netherlands
mathematical modelling
machine learning
optimization
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Pierre Flener
Uppsala University Sweden
constraint modeling
discrete optimization
combinatorial optimization
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