Array Optimization Professors in Global

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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
optimization algorithms
stochastic optimization
nonlinear optimization
constrained optimization
distributed optimization
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Albert Berahas
University of Michigan United States of America
machine learning optimization
stochastic optimization
nonlinear optimization
constrained optimization
distributed optimization
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Kalyanmoy Deb
Michigan State University United States of America
process optimization
computational optimization
hybrid optimization algorithms
multi-objective optimization
meta-modeling optimization
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Cynthia Vinzant
University of Washington United States of America
linear optimization
mathematical optimization
combinatorial optimization
discrete optimization
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Mark Daskin
University of Michigan United States of America
integer optimization
mathematical optimization
discrete optimization
network flows optimization
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Shixuan Zhang
Texas A&M University United States of America
integer optimization
stochastic optimization
polynomial optimization
robust optimization
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Dick Den Hertog
University of Amsterdam Netherlands
linear optimization
optimization in machine learning
nonlinear optimization
robust optimization
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Arjan Habraken
Eindhoven University of Technology Belgium
section optimization
adaptive optimization
form optimization
topology optimization
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John Chinneck
Carleton University Canada
optimization
mixed integer optimization
nonlinear optimization
feasibility optimization
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Michael Patriksson
University of Gothenburg Sweden
mathematical optimization
nonlinear optimization
combinatorial optimization
convex 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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Bartolomeo Stellato
Princeton University United States of America
mathematical optimization
large scale optimization
differentiable optimization
real-time embedded optimization
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Brad Calder
University of California, San Diego United States of America
compiler optimizations
memory hierarchy placement optimizations
value-based optimization
dynamic compilation optimization
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Eric Kerrigan
Imperial College London United Kingdom
multi-objective optimization
dynamic optimization
control optimization
numerical optimization methods
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Mehrdad Mahdavi
Pennsylvania State University United States of America
large-scale optimization
distributed optimization
convex optimization
non-convex optimization
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Mahdi Mehrtash
Johns Hopkins University United States of America
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stochastic optimization
power system optimization
distributed optimization
global optimization
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Merve Bodur
University of Edinburgh United Kingdom
combinatorial optimization
multiobjective optimization
robust optimization
inverse optimization
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Somayeh Sojoudi
University of California, Berkeley United States of America
optimization theory
low-rank optimization
non-convex optimization
conic optimization
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Jelena Diakonikolas
University of Wisconsin–Madison United States of America
large-scale optimization
convex optimization
first-order optimization algorithms
non-convex optimization
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Nisheeth Vishnoi
Yale University United States of America
combinatorial optimization
convex optimization
non-convex optimization
approximation algorithms
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Yashar Pourrahimian
University of Alberta Canada
optimization
mining optimization
data-driven optimization
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