Logistics Optimization Professors in Global

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Mahdi Mehrtash
Johns Hopkins University United States of America
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global optimization
stochastic optimization
power system optimization
distributed optimization
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Omar El Housni
Cornell University Netherlands
dynamic optimization
optimization models
assortment optimization
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Arkadi Nemirovski
Georgia Institute of Technology United States of America
continuous optimization
stochastic optimization
optimization theory
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Yinyu Ye
Stanford University United States of America
continuous optimization
dynamic optimization
discrete optimization
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Rommert Dekker
Erasmus University Rotterdam Netherlands
transport optimization
maintenance optimization
quantitative logistics
service logistics
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Lijun Ding
University of California, San Diego United States of America
optimization statistics
continuous optimization
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Suvrajeet Sen
University of Southern California United States of America
optimization technologies
optimization theory
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Renato Monteiro
Georgia Institute of Technology United States of America
computational optimization
continuous optimization
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Stefan Minner
Technical University of Munich Germany
logistics
strategic logistics planning
urban logistics
data-driven optimization
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Ruth Misener
Imperial College London United Kingdom
computational optimization
optimization models
robust optimization
data-driven optimization
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Angelos Tsoukalas
Erasmus University Rotterdam Netherlands
global optimization
robust optimization
optimization applications
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Yan Li
Texas A&M University United States of America
stochastic optimization
dynamic optimization
robust optimization
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Willem Van Jaarsveld
Eindhoven University of Technology Belgium
stochastic optimization
supply chain logistics
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Bissan Ghaddar
Western University Canada
energy optimization
optimization models
transportation network optimization
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Omar El Housni
Cornell University Netherlands
optimization models
assortment optimization
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James Spall
Johns Hopkins University United States of America
stochastic optimization
optimization theory
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James Spall
Johns Hopkins University United States of America
stochastic optimization
optimization theory
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Albert Berahas
University of Michigan United States of America
machine learning optimization
stochastic optimization
distributed optimization
constrained optimization
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Zhe Zhang
Purdue University United States of America
stochastic optimization
distributed optimization
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Subhrakanti Dey
Uppsala University Sweden
stochastic optimization
distributed optimization
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Siva Maguluri
Georgia Institute of Technology United States of America
optimization
stochastic optimization
distributed optimization
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