Maintenance Optimization Professors in Global

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Alexandre Jacquillat
Massachusetts Institute of Technology United States of America
large-scale optimization
stochastic optimization
integer optimization
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Albert Berahas
University of Michigan United States of America
machine learning optimization
distributed optimization
stochastic optimization
constrained optimization
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
optimization algorithms
distributed optimization
stochastic optimization
constrained optimization
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Marina Epelman
University of Michigan United States of America
mathematical optimization
optimization under uncertainty
integer optimization
discrete optimization
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Kai James
Georgia Institute of Technology United States of America
numerical optimization
multidisciplinary design optimization
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Yashar Pourrahimian
University of Alberta Canada
optimization
mining optimization
data-driven optimization
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Navneet Vidyarthi
Concordia University Canada
simulation-based optimization
large-scale optimization
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Mehrdad Mahdavi
Pennsylvania State University United States of America
distributed optimization
large-scale optimization
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Chuan He
Linköping University Sweden
continuous optimization
decentralized optimization
large-scale optimization
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Mahdi Mehrtash
Johns Hopkins University United States of America
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power system optimization
global optimization
distributed optimization
stochastic optimization
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Zhe Zhang
Purdue University United States of America
distributed optimization
stochastic optimization
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Subhrakanti Dey
Uppsala University Sweden
distributed optimization
stochastic optimization
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Siva Maguluri
Georgia Institute of Technology United States of America
optimization
distributed optimization
stochastic optimization
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Xu Zhou
Imperial College London United Kingdom
robust optimization
distributed optimization
stochastic optimization
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Hossein Hashemi Doulabi
Concordia University Canada
robust optimization
large-scale optimization
stochastic optimization
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Kai Huang
McMaster University Canada
optimization under uncertainty
data-driven optimization
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Michael Chen
York University Canada
large scale optimization
stochastic optimization
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Vahideh Manshadi
Yale University United States of America
data-driven optimization
stochastic optimization
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Chaoyue Zhao
University of Washington United States of America
robust optimization
data-driven optimization
stochastic optimization
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Chaoyue Zhao
University of Washington United States of America
robust optimization
data-driven optimization
stochastic optimization
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Elkafi Hassini
McMaster University Canada
data-driven optimization
big data optimization
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