Conic Optimization Professors in Global

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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
constrained optimization
optimization algorithms
nonlinear optimization
stochastic optimization
distributed optimization
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Kalyanmoy Deb
Michigan State University United States of America
meta-modeling optimization
computational optimization
process optimization
hybrid optimization algorithms
multi-objective optimization
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Albert Berahas
University of Michigan United States of America
constrained optimization
nonlinear optimization
stochastic optimization
machine learning optimization
distributed optimization
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Pierre Flener
Uppsala University Sweden
discrete optimization
combinatorial optimization
constraint solving
constraint modeling
constraint programming
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Somayeh Sojoudi
University of California, Berkeley United States of America
conic optimization
non-convex optimization
optimization theory
low-rank optimization
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Yaoliang Yu
University of Waterloo Canada
convex optimization
non-convex optimization
optimization algorithms
robust stochastic optimization
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Michael Patriksson
University of Gothenburg Sweden
convex optimization
mathematical optimization
nonlinear optimization
combinatorial optimization
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Mehrdad Mahdavi
Pennsylvania State University United States of America
convex optimization
non-convex optimization
large-scale optimization
distributed 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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Dick Den Hertog
University of Amsterdam Netherlands
linear optimization
nonlinear optimization
optimization in machine learning
robust optimization
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Renato Monteiro
Georgia Institute of Technology United States of America
computational optimization
continuous optimization
convex programming
convex quadratic programming
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Arjan Habraken
Eindhoven University of Technology Belgium
topology optimization
adaptive optimization
section optimization
form optimization
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Shixuan Zhang
Texas A&M University United States of America
stochastic optimization
polynomial optimization
robust optimization
integer 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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Maria Rodriguez
Uppsala University Sweden
discrete optimization
combinatorial optimization
constraint modelling
constraint programming
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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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Mahdi Mehrtash
Johns Hopkins University United States of America
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stochastic optimization
global optimization
distributed optimization
power system optimization
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Merve Bodur
University of Edinburgh United Kingdom
combinatorial optimization
inverse optimization
robust optimization
multiobjective optimization
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Venkat Chandrasekaran
California Institute of Technology United States of America
convex optimization
optimization
combinatorial optimization
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Katya Scheinberg
Georgia Institute of Technology United States of America
convex optimization
optimization
continuous optimization
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Venkat Chandrasekaran
California Institute of Technology United States of America
convex optimization
optimization
combinatorial optimization
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