Fuzzy Optimization Professors in Global

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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
optimization algorithms
stochastic optimization
constrained optimization
nonlinear optimization
distributed optimization
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Albert Berahas
University of Michigan United States of America
stochastic optimization
constrained optimization
machine learning optimization
nonlinear optimization
distributed optimization
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Kalyanmoy Deb
Michigan State University United States of America
process optimization
hybrid optimization algorithms
computational optimization
multi-objective optimization
meta-modeling 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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Michael Patriksson
University of Gothenburg Sweden
mathematical optimization
convex optimization
combinatorial optimization
nonlinear optimization
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Bartolomeo Stellato
Princeton University United States of America
mathematical optimization
large scale optimization
differentiable optimization
real-time embedded optimization
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Mark Daskin
University of Michigan United States of America
mathematical optimization
integer optimization
network flows optimization
discrete optimization
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Yaoliang Yu
University of Waterloo Canada
optimization algorithms
convex optimization
robust stochastic optimization
non-convex optimization
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Dick Den Hertog
University of Amsterdam Netherlands
robust optimization
linear optimization
optimization in machine learning
nonlinear 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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Mehrdad Mahdavi
Pennsylvania State University United States of America
large-scale optimization
convex optimization
non-convex optimization
distributed optimization
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Shixuan Zhang
Texas A&M University United States of America
stochastic optimization
robust optimization
integer optimization
polynomial optimization
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Merve Bodur
University of Edinburgh United Kingdom
robust optimization
combinatorial optimization
inverse optimization
multiobjective optimization
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Mahdi Mehrtash
Johns Hopkins University United States of America
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stochastic optimization
distributed optimization
global optimization
power system optimization
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Michael Patriksson
Chalmers University of Technology Sweden
convex optimization
combinatorial optimization
nonlinear optimization
non-differentiable optimization
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Arjan Habraken
Eindhoven University of Technology Belgium
adaptive optimization
form optimization
topology optimization
section optimization
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Somayeh Sojoudi
University of California, Berkeley United States of America
non-convex optimization
optimization theory
low-rank optimization
conic optimization
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Nathan Kallus
Cornell University Netherlands
optimization
stochastic optimization
robust optimization
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John Chinneck
Carleton University Canada
optimization
feasibility optimization
nonlinear optimization
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Venkat Chandrasekaran
California Institute of Technology United States of America
optimization
convex optimization
combinatorial optimization
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Yashar Pourrahimian
University of Alberta Canada
optimization
mining optimization
data-driven optimization
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