Optimization Techniques Professors in Global

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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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John Jørgensen
Technical University of Denmark Denmark
process optimization
numerical optimization
dynamic optimization
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Eric Kerrigan
Imperial College London United Kingdom
numerical optimization methods
dynamic optimization
control optimization
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Ismail Ali
University of New South Wales Australia
simulation-based optimization techniques
optimization problems
combinatorial optimization
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Yashar Pourrahimian
University of Alberta Canada
optimization
mining optimization
data-driven optimization
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Nathan Kallus
Cornell University Netherlands
optimization
stochastic optimization
robust optimization
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Bissan Ghaddar
Western University Canada
optimization models
energy optimization
transportation network optimization
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Sven Polak
Tilburg University Netherlands
optimization
combinatorial optimization
algebraic techniques
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Kalyanmoy Deb
Michigan State University United States of America
process optimization
computational optimization
hybrid optimization algorithms
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Marco Chiarandini
University of Southern Denmark Denmark
optimization algorithms
combinatorial optimization
continuous optimization theory
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Angelos Tsoukalas
Erasmus University Rotterdam Netherlands
optimization applications
global optimization
robust optimization
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Arkadi Nemirovski
Georgia Institute of Technology United States of America
optimization theory
continuous optimization
stochastic optimization
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Danial Davarnia
Purdue University United States of America
network optimization
global optimization
discrete optimization
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Dick Den Hertog
University of Amsterdam Netherlands
optimization in machine learning
linear optimization
robust optimization
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Marina Epelman
University of Michigan United States of America
mathematical optimization
discrete optimization
integer optimization
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Yinyu Ye
Stanford University United States of America
dynamic optimization
continuous optimization
discrete 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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Mahdi Mehrtash
Johns Hopkins University United States of America
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global optimization
stochastic optimization
power system optimization
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Mark Daskin
University of Michigan United States of America
mathematical optimization
discrete optimization
integer optimization
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Thomas Stidsen
Technical University of Denmark Denmark
telecommunication optimization
optimization using metaheuristics
optimization using decomposition
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Chuan He
Linköping University Sweden
continuous optimization
large-scale optimization
decentralized optimization
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