Constraint Optimization Professors in Global

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Pierre Flener
Uppsala University Sweden
constraint programming
constraint modeling
constraint solving
combinatorial optimization
discrete optimization
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Albert Berahas
University of Michigan United States of America
constrained optimization
stochastic optimization
machine learning optimization
distributed optimization
nonlinear optimization
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
constrained optimization
stochastic optimization
optimization algorithms
distributed optimization
nonlinear optimization
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Kalyanmoy Deb
Michigan State University United States of America
computational optimization
process optimization
multi-objective optimization
meta-modeling optimization
hybrid optimization algorithms
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Maria Rodriguez
Uppsala University Sweden
constraint programming
constraint modelling
combinatorial optimization
discrete 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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Marina Epelman
University of Michigan United States of America
mathematical optimization
discrete optimization
integer optimization
optimization under uncertainty
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Yaoliang Yu
University of Waterloo Canada
optimization algorithms
convex optimization
non-convex optimization
robust stochastic optimization
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Michael Patriksson
Chalmers University of Technology Sweden
convex optimization
combinatorial optimization
equilibrium constraints
nonlinear 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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Mehrdad Mahdavi
Pennsylvania State University United States of America
convex optimization
large-scale optimization
distributed optimization
non-convex optimization
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Shixuan Zhang
Texas A&M University United States of America
stochastic optimization
polynomial optimization
integer 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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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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Bartolomeo Stellato
Princeton University United States of America
mathematical optimization
large scale optimization
differentiable optimization
real-time embedded optimization
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Somayeh Sojoudi
University of California, Berkeley United States of America
conic optimization
optimization theory
non-convex optimization
low-rank optimization
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Merve Bodur
University of Edinburgh United Kingdom
combinatorial optimization
inverse optimization
robust optimization
multiobjective optimization
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Reem Khir
Purdue University United States of America
constrained optimization
optimization
robust stochastic optimization
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Katya Scheinberg
Georgia Institute of Technology United States of America
optimization
convex optimization
continuous optimization
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Siva Maguluri
Georgia Institute of Technology United States of America
optimization
stochastic optimization
distributed optimization
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