Online 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
meta-modeling optimization
evolutionary multi-objective optimization
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Albert Berahas
University of Michigan United States of America
stochastic optimization
machine learning optimization
distributed optimization
constrained optimization
nonlinear optimization
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
stochastic optimization
optimization algorithms
distributed optimization
constrained optimization
nonlinear optimization
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Harold Kushner
Brown University United States of America
stochastic networks
stochastic systems theory
stochastic control
optimization methods
complex stochastic systems
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Adam Wierman
California Institute of Technology United States of America
online optimization
online algorithms
stochastic networks
online learning
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Shixuan Zhang
Texas A&M University United States of America
stochastic optimization
integer optimization
polynomial optimization
robust optimization
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Bartolomeo Stellato
Princeton University United States of America
mathematical optimization
large scale optimization
real-time embedded optimization
differentiable optimization
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Michael Patriksson
University of Gothenburg Sweden
mathematical optimization
stochastic mathematical programming
nonlinear optimization
combinatorial optimization
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Mark Daskin
University of Michigan United States of America
mathematical optimization
integer optimization
discrete optimization
network flows optimization
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Cynthia Vinzant
University of Washington United States of America
mathematical optimization
linear optimization
discrete optimization
combinatorial optimization
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Dick Den Hertog
University of Amsterdam Netherlands
optimization in machine learning
linear optimization
nonlinear optimization
robust optimization
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Merve Bodur
University of Edinburgh United Kingdom
stochastic programming
multiobjective optimization
combinatorial optimization
robust optimization
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Sahil Singla
Georgia Institute of Technology United States of America
stochastic optimization
online algorithms
online learning
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Chaitanya Swamy
University of Waterloo Canada
stochastic optimization
online algorithms
combinatorial 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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Siva Maguluri
Georgia Institute of Technology United States of America
stochastic optimization
optimization
distributed optimization
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Mahdi Mehrtash
Johns Hopkins University United States of America
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stochastic optimization
distributed optimization
global 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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Kiefer
Technical University of Berlin Germany
stochastic online scheduling
mathematical optimization
combinatorial optimization
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Nathaniel Bastian
Pennsylvania State University United States of America
computational stochastic optimization
optimization
multiple objective optimization
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Hossein Hashemi Doulabi
Concordia University Canada
stochastic optimization
large-scale optimization
robust optimization
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