Optimizing Code Professors in Global

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Kalyanmoy Deb
Michigan State University United States of America
process optimization
computational optimization
optimal design
hybrid optimization algorithms
multi-objective optimization
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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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Dick Den Hertog
University of Amsterdam Netherlands
optimization in machine learning
linear optimization
robust optimization
nonlinear optimization
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Shixuan Zhang
Texas A&M University United States of America
integer optimization
robust optimization
stochastic optimization
polynomial optimization
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Karen Aardal
Delft University of Technology Netherlands
programming
cost optimization
algorithms
demand optimization
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Arjan Habraken
Eindhoven University of Technology Belgium
section optimization
form optimization
adaptive optimization
topology optimization
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Eric Kerrigan
Imperial College London United Kingdom
control optimization
dynamic optimization
numerical optimization methods
multi-objective optimization
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Arkadi Nemirovski
Georgia Institute of Technology United States of America
optimization theory
continuous optimization
stochastic optimization
algorithms
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Mahdi Mehrtash
Johns Hopkins University United States of America
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global optimization
power system optimization
stochastic optimization
distributed optimization
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Martin Andersen
Technical University of Denmark Denmark
optimization
numerical optimization
mathematical programming
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John Jørgensen
Technical University of Denmark Denmark
process optimization
numerical optimization
dynamic optimization
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Julian Hall
University of Edinburgh United Kingdom
optimization
computational optimization
algorithm development
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Manuel Lopez-ibanez
University of Manchester United Kingdom
optimisation
multi-objective optimisation
combinatorial optimisation
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Yashar Pourrahimian
University of Alberta Canada
optimization
mining optimization
data-driven optimization
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Matus Mihalak
Maastricht University Netherlands
optimization
robust optimization
algorithms
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Nathan Kallus
Cornell University Netherlands
optimization
robust optimization
stochastic optimization
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Markus Püschel
ETH Zurich Switzerland
optimization
software performance
algorithms
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Marina Epelman
University of Michigan United States of America
integer optimization
mathematical optimization
optimization under uncertainty
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Fabricio Oliveira
Technical University of Denmark Denmark
optimization
robust optimization
mathematical programming
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Siva Maguluri
Georgia Institute of Technology United States of America
optimization
stochastic optimization
distributed optimization
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