Sludge Optimization Professors in Global

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Albert Berahas
University of Michigan United States of America
stochastic optimization
machine learning optimization
constrained optimization
distributed optimization
nonlinear optimization
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
stochastic optimization
optimization algorithms
constrained optimization
distributed optimization
nonlinear 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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Mark Daskin
University of Michigan United States of America
mathematical optimization
integer optimization
discrete optimization
network flows optimization
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Shixuan Zhang
Texas A&M University United States of America
integer optimization
stochastic optimization
robust optimization
polynomial optimization
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Cynthia Vinzant
University of Washington United States of America
mathematical optimization
linear optimization
discrete optimization
combinatorial 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
real-time embedded optimization
differentiable 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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Yaoliang Yu
University of Waterloo Canada
optimization algorithms
robust stochastic optimization
convex optimization
non-convex optimization
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Ruth Misener
Imperial College London United Kingdom
robust optimization
computational optimization
optimization models
data-driven 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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Mehrdad Mahdavi
Pennsylvania State University United States of America
large-scale optimization
convex optimization
distributed optimization
non-convex optimization
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Merve Bodur
University of Edinburgh United Kingdom
robust optimization
combinatorial optimization
multiobjective optimization
inverse optimization
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Ignacio Grossmann
Carnegie Mellon University United States of America
discrete optimization
supply chain optimization
continuous optimization
energy systems optimization
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Merve Bodur
University of Edinburgh United Kingdom
robust optimization
combinatorial optimization
multiobjective optimization
inverse optimization
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Eric Kerrigan
Imperial College London United Kingdom
multi-objective optimization
control optimization
numerical optimization methods
dynamic optimization
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Alexandre Jacquillat
Massachusetts Institute of Technology United States of America
integer optimization
stochastic optimization
large-scale optimization
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Phebe Vayanos
University of Southern California United States of America
integer optimization
stochastic optimization
robust optimization
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Phebe Vayanos
University of Southern California United States of America
integer optimization
stochastic optimization
robust optimization
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Marina Epelman
University of Michigan United States of America
mathematical optimization
integer optimization
discrete optimization
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