Stochastic Optimization Professors in Global

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Kalyanmoy Deb
Michigan State University United States of America
computational optimization
multi-objective optimization
process optimization
hybrid optimization algorithms
evolutionary multi-objective optimization
meta-modeling optimization
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
stochastic optimization
optimization algorithms
constrained optimization
distributed optimization
nonlinear optimization
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Albert Berahas
University of Michigan United States of America
stochastic optimization
machine learning optimization
constrained optimization
distributed optimization
nonlinear optimization
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Harold Kushner
Brown University United States of America
stochastic networks
stochastic control
stochastic systems theory
complex stochastic systems
optimization methods
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Shixuan Zhang
Texas A&M University United States of America
stochastic optimization
polynomial optimization
robust optimization
integer optimization
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Michael Patriksson
University of Gothenburg Sweden
mathematical optimization
stochastic mathematical programming
combinatorial optimization
nonlinear optimization
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Nathaniel Bastian
Pennsylvania State University United States of America
computational stochastic optimization
optimization
multiple objective optimization
statistical computing
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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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Yassine Yaakoubi
Concordia University Canada
stochastic programming
machine learning-augmented optimization
large-scale combinatorial optimization
supply value chain optimization
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Bartolomeo Stellato
Princeton University United States of America
mathematical optimization
large scale optimization
differentiable optimization
real-time embedded optimization
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Merve Bodur
University of Edinburgh United Kingdom
stochastic programming
combinatorial optimization
multiobjective optimization
robust optimization
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Dick Den Hertog
University of Amsterdam Netherlands
linear optimization
optimization in machine learning
nonlinear optimization
robust optimization
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Michael Patriksson
Chalmers University of Technology Sweden
stochastic mathematical programs
combinatorial optimization
nonlinear optimization
non-differentiable optimization
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Eric Kerrigan
Imperial College London United Kingdom
multi-objective optimization
dynamic optimization
numerical optimization methods
control optimization
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Ruiwei Jiang
University of Michigan United States of America
stochastic optimization
data-enabled stochastic optimization
discrete optimization
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James Spall
Johns Hopkins University United States of America
stochastic optimization
stochastic systems
optimization theory
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Nathan Kallus
Cornell University Netherlands
stochastic optimization
optimization
robust optimization
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Alexandre Jacquillat
Massachusetts Institute of Technology United States of America
stochastic optimization
large-scale optimization
integer optimization
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Richard Serfozo
Georgia Institute of Technology United States of America
optimization of stochastic systems
stochastic networks
stochastic processes
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Hossein Hashemi Doulabi
Concordia University Canada
stochastic optimization
large-scale optimization
robust optimization
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Siva Maguluri
Georgia Institute of Technology United States of America
stochastic optimization
optimization
distributed optimization
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