Classical Optimization Problems Professors in Global

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Mahdi Mehrtash
Johns Hopkins University United States of America
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stochastic optimization
global optimization
power system optimization
distributed optimization
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Ignacio Grossmann
Carnegie Mellon University United States of America
continuous optimization
discrete optimization
supply chain optimization
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Merve Bodur
University of Edinburgh United Kingdom
combinatorial optimization
robust optimization
multiobjective optimization
inverse optimization
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Merve Bodur
University of Edinburgh United Kingdom
combinatorial optimization
robust optimization
multiobjective optimization
inverse optimization
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Brad Calder
University of California, San Diego United States of America
compiler optimizations
dynamic compilation optimization
value-based optimization
memory hierarchy placement optimizations
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Thatchaphol Saranurak
University of Michigan United States of America
continuous optimization
combinatorial problems
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Danial Davarnia
Purdue University United States of America
global optimization
network optimization
discrete optimization
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Angelos Tsoukalas
Erasmus University Rotterdam Netherlands
optimization applications
global optimization
robust optimization
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Yinyu Ye
Stanford University United States of America
dynamic optimization
continuous optimization
discrete optimization
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Michael Stingl
Friedrich-Alexander-Universität Erlangen-Nürnberg Germany
continuous optimization
robust optimization
topology optimization
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Chuan He
Linköping University Sweden
large-scale optimization
continuous optimization
decentralized optimization
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Ruth Misener
Imperial College London United Kingdom
computational optimization
optimization models
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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Chaoyue Zhao
University of Washington United States of America
stochastic optimization
data-driven optimization
robust optimization
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Daniel Kuhn
École Polytechnique Fédérale de Lausanne Switzerland
data-driven optimization
robust optimization
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Yashar Pourrahimian
University of Alberta Canada
optimization
data-driven optimization
mining optimization
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Jørgen Andersen
University of Southern Denmark Denmark
optimization
combinatorial problems
logistics optimization
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Joshua Knowles
University of Manchester United Kingdom
global optimization
multiobjective optimization
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Pierre Flener
Uppsala University Sweden
combinatorial optimization
constraint solving
discrete optimization
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Santanu Dey
Georgia Institute of Technology United States of America
global optimization
optimization engineering
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Gary Rosen
University of Southern California United States of America
global optimization
computational algorithms
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