Multidisciplinary Design Optimization Professors in Global

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Kalyanmoy Deb
Michigan State University United States of America
multi-objective optimization
optimal design
process optimization
computational optimization
hybrid optimization algorithms
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Eric Kerrigan
Imperial College London United Kingdom
multi-objective optimization
dynamic optimization
control optimization
numerical optimization methods
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Cynthia Vinzant
University of Washington United States of America
mathematical optimization
combinatorial optimization
linear optimization
discrete optimization
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Johan Ölvander
Linköping University Sweden
design optimization
simulation optimization
multi-disciplinary modelling
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John Jørgensen
Technical University of Denmark Denmark
numerical optimization
dynamic optimization
process optimization
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Ann-brith Strömberg
University of Gothenburg Sweden
mathematical optimization
multi-objective optimization
simulation-based optimization
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Yashar Pourrahimian
University of Alberta Canada
optimization
mining optimization
data-driven optimization
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Mohsen Vatandoost
University of Michigan United States of America
structural optimization
computational design
multi-objective multi-criteria optimization
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Merve Bodur
University of Edinburgh United Kingdom
multiobjective optimization
combinatorial optimization
robust optimization
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Daniel Cardoso Llach
Carnegie Mellon University United States of America
interdisciplinary design research
design computation
computational design
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Bartolomeo Stellato
Princeton University United States of America
mathematical optimization
differentiable optimization
large scale optimization
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Angelos Tsoukalas
Erasmus University Rotterdam Netherlands
global optimization
robust optimization
optimization applications
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Yinyu Ye
Stanford University United States of America
dynamic optimization
continuous optimization
discrete optimization
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Danial Davarnia
Purdue University United States of America
global optimization
discrete optimization
network optimization
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Dick Den Hertog
University of Amsterdam Netherlands
optimization in machine learning
linear optimization
robust optimization
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Manuel Lopez-ibanez
University of Manchester United Kingdom
multi-objective optimisation
combinatorial optimisation
optimisation
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Mahdi Mehrtash
Johns Hopkins University United States of America
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global optimization
distributed optimization
power system optimization
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Tjark Vredeveld
Maastricht University Netherlands
combinatorial optimization
discrete optimization
complexity design
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Theo Hofman
Eindhoven University of Technology Belgium
optimal system design
integrated design methods
optimization theory
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Chuan He
Linköping University Sweden
continuous optimization
large-scale optimization
decentralized optimization
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Charles Mader
University of Michigan United States of America
multidisciplinary design optimization
design optimization
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