Constraint Satisfaction Optimization Professors in Global

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Merve Bodur
University of Edinburgh United Kingdom
multiobjective optimization
inverse optimization
combinatorial optimization
robust optimization
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Merve Bodur
University of Edinburgh United Kingdom
multiobjective optimization
inverse optimization
combinatorial optimization
robust optimization
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Chaoyue Zhao
University of Washington United States of America
stochastic optimization
data-driven optimization
robust optimization
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Chaoyue Zhao
University of Washington United States of America
stochastic optimization
data-driven optimization
robust 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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Bistra Dilkina
University of Southern California United States of America
stochastic optimization
discrete optimization
combinatorial optimization
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Xu Zhou
Imperial College London United Kingdom
stochastic optimization
distributed optimization
robust optimization
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Mehrdad Mahdavi
Pennsylvania State University United States of America
convex optimization
non-convex optimization
distributed optimization
large-scale optimization
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Hossein Hashemi Doulabi
Concordia University Canada
stochastic optimization
large-scale optimization
robust optimization
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Danial Davarnia
Purdue University United States of America
discrete optimization
network optimization
global optimization
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Angelos Tsoukalas
Erasmus University Rotterdam Netherlands
optimization applications
global optimization
robust optimization
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Houra Mahmoudzadeh
University of Waterloo Canada
inverse optimization
large-scale optimization
robust optimization
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Martin Grunow
Technical University of Munich Germany
production systems optimization
stochastic optimization
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Vahideh Manshadi
Yale University United States of America
stochastic optimization
data-driven optimization
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Bo Peng
KTH Royal Institute of Technology Sweden
memory subsystem optimization
system-level optimization
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Ruiwei Jiang
University of Michigan United States of America
stochastic optimization
discrete optimization
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Katerina Papadaki
London School of Economics and Political Science United Kingdom
stochastic optimization
discrete optimization
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Bistra Dilkina
University of Southern California United States of America
stochastic optimization
discrete optimization
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Viswanath Nagarajan
University of Michigan United States of America
stochastic optimization
discrete optimization
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Kai Huang
McMaster University Canada
data-driven optimization
optimization under uncertainty
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Albert Berahas
University of Michigan United States of America
constrained optimization
stochastic optimization
machine learning optimization
distributed optimization
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