Workflow Optimization Professors in Global

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Kalyanmoy Deb
Michigan State University United States of America
process optimization
computational optimization
hybrid optimization algorithms
multi-objective optimization
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Eric Kerrigan
Imperial College London United Kingdom
control optimization
dynamic optimization
numerical optimization methods
multi-objective optimization
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Mahdi Mehrtash
Johns Hopkins University United States of America
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global optimization
power system optimization
stochastic optimization
distributed optimization
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Arjan Habraken
Eindhoven University of Technology Belgium
topology optimization
section optimization
form optimization
adaptive optimization
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John Jørgensen
Technical University of Denmark Denmark
process optimization
numerical optimization
dynamic optimization
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Yashar Pourrahimian
University of Alberta Canada
optimization
mining optimization
data-driven optimization
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Mark Daskin
University of Michigan United States of America
network flows optimization
mathematical optimization
integer optimization
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Siva Maguluri
Georgia Institute of Technology United States of America
optimization
stochastic optimization
distributed optimization
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Nathan Kallus
Cornell University Netherlands
optimization
stochastic optimization
robust optimization
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Chuan He
Linköping University Sweden
continuous optimization
large-scale optimization
decentralized optimization
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Arkadi Nemirovski
Georgia Institute of Technology United States of America
continuous optimization
stochastic optimization
optimization theory
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
optimization algorithms
stochastic optimization
distributed optimization
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Ann-brith Strömberg
University of Gothenburg Sweden
mathematical optimization
simulation-based optimization
multi-objective optimization
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Albert Berahas
University of Michigan United States of America
machine learning optimization
stochastic optimization
distributed optimization
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Dick Den Hertog
University of Amsterdam Netherlands
optimization in machine learning
linear optimization
robust optimization
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Yan Li
Texas A&M University United States of America
dynamic optimization
stochastic optimization
robust optimization
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Hossein Hashemi Doulabi
Concordia University Canada
large-scale optimization
stochastic optimization
robust optimization
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Angelos Tsoukalas
Erasmus University Rotterdam Netherlands
global optimization
optimization applications
robust optimization
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Chaoyue Zhao
University of Washington United States of America
data-driven optimization
stochastic optimization
robust optimization
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Alexandre Jacquillat
Massachusetts Institute of Technology United States of America
large-scale optimization
integer optimization
stochastic optimization
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Phebe Vayanos
University of Southern California United States of America
integer optimization
stochastic optimization
robust optimization
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