Reduced Order Modeling Professors in Global

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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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Nathan Kallus
Cornell University Netherlands
machine learning
modeling
optimization
stochastic optimization
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Bistra Dilkina
University of Southern California United States of America
machine learning
discrete optimization
stochastic optimization
combinatorial optimization
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Retsef Levi
Massachusetts Institute of Technology United States of America
optimization
stochastic optimization
combinatorial optimization
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Manuel Lopez-ibanez
University of Manchester United Kingdom
machine learning
combinatorial optimisation
multi-objective optimisation
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Gregory Franks
Carleton University Canada
performance modeling
queueing models
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Pooya Moradian Zadeh
University of Windsor Canada
optimization algorithms
modeling
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Julian Hall
University of Edinburgh United Kingdom
computational optimization
optimization
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Jørgen Andersen
University of Southern Denmark Denmark
low dimensional geometry
optimization
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Rudolf Müller
Maastricht University Netherlands
algorithmic optimization
combinatorial optimization
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Klaus Mosthaf
Technical University of Denmark Denmark
modeling
numerical modeling
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Rina Foygel Barber
University of Chicago United States of America
low-rank models
optimization
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George Papavassilopoulos
University of Southern California United States of America
optimization algorithms
optimization
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Bo Peng
KTH Royal Institute of Technology Sweden
performance modeling
system-level optimization
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Beryl Castello
Johns Hopkins University United States of America
inventory modeling
optimization
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Spyridon Pougkakiotis
King's College London United Kingdom
stochastic optimisation
large-scale deterministic optimisation
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Jonathan Shapiro
University of Manchester United Kingdom
machine learning
probabilistic modeling
optimization
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Christian Frier
Aalborg University Denmark
stochastic modeling
probabilistic modeling
optimization
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Nathan Srebro
University of Chicago United States of America
machine learning
probabilistic modeling
optimization
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Clarence Worrell
Carnegie Mellon University United States of America
machine learning
probabilistic modeling
optimization
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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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