Optimization Analysis 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
decision analysis
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Ruth Misener
Imperial College London United Kingdom
optimization models
computational optimization
robust optimization
data-driven optimization
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
optimization algorithms
stochastic optimization
constrained optimization
distributed optimization
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Cynthia Vinzant
University of Washington United States of America
mathematical optimization
linear optimization
combinatorial optimization
discrete optimization
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Marco Chiarandini
University of Southern Denmark Denmark
optimization algorithms
statistical analysis
combinatorial optimization
continuous optimization theory
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Charles Mader
University of Michigan United States of America
design optimization
aerostructural analysis optimization
aeropropulsive analysis optimization
multidisciplinary design optimization
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Albert Berahas
University of Michigan United States of America
machine learning optimization
stochastic optimization
constrained optimization
distributed 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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Ignacio Grossmann
Carnegie Mellon University United States of America
supply chain optimization
continuous optimization
energy systems optimization
discrete optimization
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Mahdi Mehrtash
Johns Hopkins University United States of America
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global optimization
stochastic optimization
power system optimization
distributed optimization
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Shixuan Zhang
Texas A&M University United States of America
stochastic optimization
robust optimization
polynomial optimization
integer optimization
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Yashar Pourrahimian
University of Alberta Canada
optimization
mining optimization
data-driven optimization
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John Jørgensen
Technical University of Denmark Denmark
process optimization
numerical optimization
dynamic optimization
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Retsef Levi
Massachusetts Institute of Technology United States of America
optimization
stochastic optimization
combinatorial optimization
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Nathan Kallus
Cornell University Netherlands
optimization
stochastic optimization
robust optimization
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Siva Maguluri
Georgia Institute of Technology United States of America
optimization
stochastic optimization
distributed optimization
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Jiajin Li
University of British Columbia Canada
optimization algorithms
continuous optimization
design analysis
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Arkadi Nemirovski
Georgia Institute of Technology United States of America
optimization theory
continuous optimization
stochastic optimization
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Aban Ansari-önnestam
Linköping University Sweden
mathematical optimization
mathematical analysis
continuous optimization
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Dick Den Hertog
University of Amsterdam Netherlands
optimization in machine learning
linear optimization
robust optimization
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Yaren Kaya
Columbia University United States of America
optimization
large-scale optimization
decision analysis
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