Optimization Professors in Global

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Kalyanmoy Deb
Michigan State University United States of America
process optimization
computational optimization
hybrid optimization algorithms
multi-objective optimization
optimal design
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Albert Berahas
University of Michigan United States of America
machine learning optimization
stochastic optimization
distributed optimization
constrained optimization
nonlinear optimization
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
optimization algorithms
stochastic optimization
distributed optimization
constrained 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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Cynthia Vinzant
University of Washington United States of America
mathematical optimization
linear optimization
combinatorial optimization
discrete optimization
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Marina Epelman
University of Michigan United States of America
mathematical optimization
integer optimization
discrete optimization
optimization under uncertainty
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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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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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Arjan Habraken
Eindhoven University of Technology Belgium
adaptive optimization
form optimization
section optimization
topology 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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Michael Patriksson
University of Gothenburg Sweden
mathematical optimization
combinatorial optimization
convex optimization
nonlinear 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
robust optimization
stochastic optimization
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John Jørgensen
Technical University of Denmark Denmark
process optimization
numerical optimization
dynamic optimization
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Katya Scheinberg
Georgia Institute of Technology United States of America
optimization
continuous optimization
convex optimization
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Siva Maguluri
Georgia Institute of Technology United States of America
optimization
stochastic optimization
distributed optimization
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Venkat Chandrasekaran
California Institute of Technology United States of America
optimization
combinatorial optimization
convex optimization
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Venkat Chandrasekaran
California Institute of Technology United States of America
optimization
combinatorial optimization
convex optimization
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Venkat Chandrasekaran
California Institute of Technology United States of America
optimization
combinatorial optimization
convex optimization
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Venkat Chandrasekaran
California Institute of Technology United States of America
optimization
combinatorial optimization
convex optimization
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