Optimization Problems Professors in Global

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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
optimization algorithms
constrained optimization
stochastic optimization
distributed optimization
nonlinear optimization
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Albert Berahas
University of Michigan United States of America
machine learning optimization
constrained optimization
stochastic optimization
distributed optimization
nonlinear optimization
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Ismail Ali
University of New South Wales Australia
optimization problems
combinatorial optimization
simulation-based optimization techniques
scheduling problems
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Ruth Misener
Imperial College London United Kingdom
optimization models
computational optimization
robust optimization
data-driven optimization
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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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Kalyanmoy Deb
Michigan State University United States of America
process optimization
computational optimization
hybrid optimization algorithms
multi-objective 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
control optimization
numerical optimization methods
dynamic optimization
multi-objective optimization
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Marina Epelman
University of Michigan United States of America
mathematical optimization
integer optimization
optimization under uncertainty
discrete 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
distributed optimization
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Shixuan Zhang
Texas A&M University United States of America
stochastic optimization
integer optimization
robust optimization
polynomial optimization
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Ignacio Grossmann
Carnegie Mellon University United States of America
continuous optimization
supply chain optimization
energy systems optimization
discrete optimization
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Merve Bodur
University of Edinburgh United Kingdom
robust optimization
combinatorial optimization
inverse optimization
multiobjective optimization
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Merve Bodur
University of Edinburgh United Kingdom
robust optimization
combinatorial optimization
inverse optimization
multiobjective 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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Meik Franke
University of Twente Netherlands
optimization
process optimization uncertainties
process design optimization
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Siva Maguluri
Georgia Institute of Technology United States of America
optimization
stochastic optimization
distributed optimization
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Jørgen Andersen
University of Southern Denmark Denmark
optimization
logistics optimization
combinatorial problems
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Retsef Levi
Massachusetts Institute of Technology United States of America
optimization
stochastic optimization
combinatorial optimization
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John Jørgensen
Technical University of Denmark Denmark
process optimization
numerical optimization
dynamic optimization
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