Time Dependent Pde Constrained Optimization Professors in Global

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Albert Berahas
University of Michigan United States of America
constrained optimization
distributed optimization
stochastic optimization
machine learning optimization
nonlinear optimization
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
constrained optimization
distributed optimization
stochastic optimization
nonlinear optimization
optimization algorithms
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Pierre Flener
Uppsala University Sweden
constraint programming
discrete optimization
constraint modeling
constraint solving
combinatorial optimization
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Maria Rodriguez
Uppsala University Sweden
constraint programming
constraint modelling
discrete optimization
combinatorial optimization
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Bartolomeo Stellato
Princeton University United States of America
real-time embedded optimization
mathematical optimization
differentiable optimization
large scale optimization
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Cynthia Vinzant
University of Washington United States of America
discrete optimization
mathematical optimization
combinatorial optimization
linear optimization
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Mehrdad Mahdavi
Pennsylvania State University United States of America
distributed optimization
convex 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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Ruiwei Jiang
University of Michigan United States of America
discrete optimization
stochastic optimization
data-enabled stochastic optimization
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Ruth Misener
Imperial College London United Kingdom
computational optimization
data-driven optimization
robust optimization
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Bistra Dilkina
University of Southern California United States of America
discrete optimization
stochastic optimization
combinatorial optimization
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Mahdi Mehrtash
Johns Hopkins University United States of America
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distributed optimization
stochastic optimization
power system optimization
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Siva Maguluri
Georgia Institute of Technology United States of America
distributed optimization
stochastic optimization
optimization
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Chaoyue Zhao
University of Washington United States of America
data-driven optimization
stochastic optimization
robust optimization
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Chaoyue Zhao
University of Washington United States of America
data-driven optimization
stochastic optimization
robust optimization
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Xu Zhou
Imperial College London United Kingdom
distributed optimization
stochastic optimization
robust optimization
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Shixuan Zhang
Texas A&M University United States of America
polynomial optimization
stochastic optimization
robust optimization
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Ann-brith Strömberg
University of Gothenburg Sweden
simulation-based optimization
mathematical optimization
multi-objective optimization
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Mehrdad Mahdavi
Pennsylvania State University United States of America
distributed optimization
convex optimization
non-convex optimization
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Kalyanmoy Deb
Michigan State University United States of America
computational optimization
process optimization
meta-modeling optimization
multi-objective optimization
hybrid optimization algorithms
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Retsef Levi
Massachusetts Institute of Technology United States of America
stochastic optimization
combinatorial optimization
optimization
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