Deterministic Optimization Professors in Global

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Albert Berahas
University of Michigan United States of America
stochastic optimization
distributed optimization
machine learning optimization
constrained optimization
derivative-free optimization
nonlinear optimization
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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
distributed optimization
optimization algorithms
constrained optimization
nonlinear optimization
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Merve Bodur
University of Edinburgh United Kingdom
combinatorial optimization
robust optimization
multiobjective optimization
stochastic programming
inverse optimization
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Yassine Yaakoubi
Concordia University Canada
machine learning-augmented optimization
large-scale combinatorial optimization
probabilistic machine learning
stochastic programming
supply value chain optimization
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Cynthia Vinzant
University of Washington United States of America
mathematical optimization
discrete optimization
combinatorial optimization
linear optimization
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Mahdi Mehrtash
Johns Hopkins University United States of America
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stochastic optimization
distributed optimization
global optimization
power system optimization
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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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Dick Den Hertog
University of Amsterdam Netherlands
linear optimization
optimization in machine learning
robust optimization
nonlinear optimization
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Eric Kerrigan
Imperial College London United Kingdom
dynamic optimization
multi-objective optimization
control optimization
numerical optimization methods
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Siva Maguluri
Georgia Institute of Technology United States of America
stochastic optimization
distributed optimization
optimization
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Bartolomeo Stellato
Princeton University United States of America
differentiable optimization
mathematical optimization
large scale optimization
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Ruiwei Jiang
University of Michigan United States of America
stochastic optimization
discrete optimization
data-enabled stochastic optimization
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Xu Zhou
Imperial College London United Kingdom
stochastic optimization
distributed optimization
robust optimization
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Chaoyue Zhao
University of Washington United States of America
stochastic optimization
data-driven optimization
robust optimization
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Yan Li
Texas A&M University United States of America
stochastic optimization
dynamic optimization
robust optimization
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Nathan Kallus
Cornell University Netherlands
stochastic optimization
optimization
robust optimization
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Yinyu Ye
Stanford University United States of America
dynamic optimization
discrete optimization
continuous optimization
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Arkadi Nemirovski
Georgia Institute of Technology United States of America
stochastic optimization
optimization theory
continuous optimization
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John Jørgensen
Technical University of Denmark Denmark
dynamic optimization
numerical optimization
process optimization
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Michael Patriksson
University of Gothenburg Sweden
mathematical optimization
combinatorial optimization
nonlinear optimization
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