Stochastic Optimisation Professors in Global

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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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Eric Kerrigan
Imperial College London United Kingdom
dynamic optimization
multi-objective optimization
control optimization
numerical optimization methods
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Dick Den Hertog
University of Amsterdam Netherlands
linear optimization
nonlinear optimization
machine learning
robust optimization
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Kalyanmoy Deb
Michigan State University United States of America
computational optimization
multi-objective optimization
process optimization
hybrid optimization algorithms
machine learning
evolutionary multi-objective 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
machine learning
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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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Bilge Atasoy
Delft University of Technology Netherlands
prediction-based optimization
choice-based optimization models
stochastic dynamic vehicle routing models
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Yinyu Ye
Stanford University United States of America
continuous optimization
dynamic optimization
machine learning
discrete optimization
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Hina Shaheen
University of Manitoba Canada
statistical machine learning
machine learning
probability stochastic processes
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David Goldberg
Cornell University Netherlands
stochastic processes
combinatorial optimization
machine learning
robust optimization
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Merve Bodur
University of Edinburgh United Kingdom
stochastic programming
combinatorial optimization
multiobjective optimization
machine learning
robust optimization
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Merve Bodur
University of Edinburgh United Kingdom
stochastic programming
combinatorial optimization
multiobjective optimization
machine learning
robust optimization
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Kevin Jamieson
University of Washington United States of America
statistical algorithms
machine learning
hyperparameter optimization
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Nima Anari
Stanford University United States of America
combinatorial optimization
machine learning
randomized algorithms
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Jeya Jeyakumar
University of New South Wales Australia
mathematical optimization
nonlinear optimization
machine learning
robust optimization
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Ruth Misener
Imperial College London United Kingdom
computational optimization
optimization models
data-driven optimization
machine learning
robust optimization
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Daniel Kuhn
École Polytechnique Fédérale de Lausanne Switzerland
stochastic programming
data-driven optimization
machine learning
robust optimization
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Hrayer Aprahamian
Texas A&M University United States of America
combinatorial optimization
machine learning
discrete optimization
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Bistra Dilkina
University of Southern California United States of America
stochastic optimization
combinatorial optimization
machine learning
discrete optimization
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Casper Andreasen
Technical University of Denmark Denmark
structural optimization
machine learning
topology 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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