Dosimetry Optimization Professors in Global

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Albert Berahas
University of Michigan United States of America
distributed optimization
stochastic optimization
machine learning optimization
constrained optimization
nonlinear optimization
derivative-free optimization
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
distributed optimization
optimization algorithms
stochastic optimization
constrained optimization
nonlinear optimization
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Kalyanmoy Deb
Michigan State University United States of America
process optimization
computational optimization
multi-objective optimization
hybrid optimization algorithms
meta-modeling optimization
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Cynthia Vinzant
University of Washington United States of America
mathematical optimization
discrete optimization
linear optimization
combinatorial optimization
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Eric Kerrigan
Imperial College London United Kingdom
dynamic optimization
control optimization
multi-objective optimization
numerical optimization methods
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Mahdi Mehrtash
Johns Hopkins University United States of America
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distributed optimization
stochastic optimization
power system optimization
global 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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Mark Daskin
University of Michigan United States of America
mathematical optimization
discrete optimization
network flows optimization
integer optimization
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Katya Scheinberg
Georgia Institute of Technology United States of America
optimization
continuous optimization
convex optimization
derivative-free optimization
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Michael Patriksson
University of Gothenburg Sweden
mathematical optimization
combinatorial optimization
nonlinear optimization
convex optimization
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Michael Patriksson
Chalmers University of Technology Sweden
combinatorial optimization
non-differentiable optimization
nonlinear optimization
convex optimization
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Siva Maguluri
Georgia Institute of Technology United States of America
optimization
distributed optimization
stochastic optimization
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Yashar Pourrahimian
University of Alberta Canada
optimization
data-driven optimization
mining optimization
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John Jørgensen
Technical University of Denmark Denmark
dynamic optimization
numerical optimization
process optimization
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Yinyu Ye
Stanford University United States of America
dynamic optimization
discrete optimization
continuous optimization
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Retsef Levi
Massachusetts Institute of Technology United States of America
optimization
stochastic optimization
combinatorial optimization
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Marina Epelman
University of Michigan United States of America
mathematical optimization
discrete optimization
integer optimization
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Omar El Housni
Cornell University Netherlands
dynamic optimization
assortment optimization
optimization models
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Bistra Dilkina
University of Southern California United States of America
discrete optimization
stochastic optimization
combinatorial optimization
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Bartolomeo Stellato
Princeton University United States of America
mathematical optimization
differentiable optimization
large scale optimization
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Ann-brith Strömberg
University of Gothenburg Sweden
mathematical optimization
multi-objective optimization
simulation-based optimization
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