Hierarchical Optimization Professors in Global

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Arie Koster
RWTH Aachen University Germany
robust optimization
optimization in healthcare
optimization of energy networks
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Danial Davarnia
Purdue University United States of America
network optimization
discrete optimization
global optimization
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Karmel Gabilan
University of Southern California United States of America
healthcare optimization
stochastic robust optimization
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Ahmadreza Marandi
Eindhoven University of Technology Belgium
optimization problems
robust optimization
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Angelos Tsoukalas
Erasmus University Rotterdam Netherlands
global optimization
robust optimization
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Santanu Dey
Georgia Institute of Technology United States of America
global optimization
optimization engineering
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Majid Ali
Aalborg University Denmark
reliability optimization
energy optimization
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Mahdi Mehrtash
Johns Hopkins University United States of America
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stochastic optimization
distributed optimization
global optimization
power system optimization
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Jesper Larsen
Technical University of Denmark Denmark
optimization problems
transport optimization
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Chaithanya Bandi
National University of Singapore Singapore
robust optimization
risk optimization
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Ruiwei Jiang
University of Michigan United States of America
stochastic optimization
discrete optimization
data-enabled stochastic optimization
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Ignacio Grossmann
Carnegie Mellon University United States of America
continuous optimization
supply chain optimization
discrete optimization
energy systems optimization
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Constantine Caramanis
University of Texas at Austin United States of America
robust optimization
adaptable optimization
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Mark Daskin
University of Michigan United States of America
mathematical optimization
integer optimization
discrete optimization
network flows optimization
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Merve Bodur
University of Edinburgh United Kingdom
combinatorial optimization
multiobjective optimization
robust optimization
inverse optimization
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Houra Mahmoudzadeh
University of Waterloo Canada
large-scale optimization
robust optimization
inverse optimization
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Merve Bodur
University of Edinburgh United Kingdom
combinatorial optimization
multiobjective optimization
robust optimization
inverse optimization
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Pierre Schaus
UCLouvain Belgium
discrete optimization
anytime optimization algorithms
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Kalyanmoy Deb
Michigan State University United States of America
computational optimization
hybrid optimization algorithms
process optimization
multi-objective optimization
meta-modeling optimization
evolutionary multi-objective optimization
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Sebastian Denzler
Friedrich-Alexander-Universität Erlangen-Nürnberg Germany
optimization
distributionally robust optimization
robust bayesian optimization
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Meik Franke
University of Twente Netherlands
optimization
process design optimization
mixed-integer optimization
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