Blade Optimization Professors in Global

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Kalyanmoy Deb
Michigan State University United States of America
computational optimization
process optimization
multi-objective optimization
hybrid optimization algorithms
optimal design
meta-modeling optimization
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
optimization algorithms
distributed optimization
constrained optimization
stochastic optimization
nonlinear optimization
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Albert Berahas
University of Michigan United States of America
distributed optimization
machine learning optimization
constrained optimization
stochastic optimization
nonlinear 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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Cynthia Vinzant
University of Washington United States of America
linear optimization
mathematical optimization
discrete optimization
combinatorial optimization
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Yaoliang Yu
University of Waterloo Canada
optimization algorithms
convex optimization
non-convex optimization
robust stochastic optimization
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Mehrdad Mahdavi
Pennsylvania State University United States of America
convex optimization
distributed optimization
large-scale optimization
non-convex optimization
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Michael Patriksson
University of Gothenburg Sweden
mathematical optimization
convex optimization
combinatorial optimization
nonlinear optimization
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Arjan Habraken
Eindhoven University of Technology Belgium
adaptive optimization
topology optimization
section optimization
form optimization
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Shixuan Zhang
Texas A&M University United States of America
robust optimization
integer optimization
stochastic optimization
polynomial optimization
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Marina Epelman
University of Michigan United States of America
mathematical optimization
discrete optimization
integer optimization
optimization under uncertainty
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Merve Bodur
University of Edinburgh United Kingdom
robust optimization
inverse optimization
combinatorial optimization
multiobjective optimization
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Mark Daskin
University of Michigan United States of America
mathematical optimization
discrete optimization
integer optimization
network flows optimization
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Mahdi Mehrtash
Johns Hopkins University United States of America
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distributed optimization
power system optimization
stochastic optimization
global optimization
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Eric Kerrigan
Imperial College London United Kingdom
control optimization
dynamic optimization
multi-objective optimization
numerical optimization methods
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Venkat Chandrasekaran
California Institute of Technology United States of America
optimization
convex optimization
combinatorial optimization
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Venkat Chandrasekaran
California Institute of Technology United States of America
optimization
convex optimization
combinatorial optimization
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Venkat Chandrasekaran
California Institute of Technology United States of America
optimization
convex optimization
combinatorial optimization
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Venkat Chandrasekaran
California Institute of Technology United States of America
optimization
convex optimization
combinatorial optimization
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Siva Maguluri
Georgia Institute of Technology United States of America
optimization
distributed optimization
stochastic optimization
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Nathan Kallus
Cornell University Netherlands
optimization
robust optimization
stochastic optimization
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