Meta Modeling Optimization Professors in Global

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Dick Den Hertog
University of Amsterdam Netherlands
optimization in machine learning
linear optimization
nonlinear optimization
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Pascal Etman
Eindhoven University of Technology Belgium
model-based design optimization
system design optimization
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Argie Veroniki
Brown University United States of America
network meta-analysis
statistical modeling
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Maitham Shams
Carleton University Canada
delay estimation optimization
energy estimation optimization
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Nadiya Kostyuk
Carnegie Mellon University United States of America
mathematical modeling
computational modeling
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Justin Remais
University of California, Berkeley United States of America
mathematical modeling
computational modeling
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Wim Van Drongelen
University of Chicago United States of America
mathematical modeling
computational modeling
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Anmar Khadra
McGill University Canada
mathematical modeling
computational modeling
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Arjan Habraken
Eindhoven University of Technology Belgium
form optimization
topology optimization
adaptive optimization
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Norman Zhou
University of Waterloo Canada
mathematical modeling
computational modelling
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Fangsheng Ge
University of Southampton United Kingdom
mathematical modeling
statistical modeling
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Andrew Mccluskey
University of Bristol United Kingdom
mathematical modeling
statistical modeling
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Nicolai Rothe
Technical University of Berlin Germany
mathematical modeling
statistical modeling
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Joakim Munkhammar
Uppsala University Sweden
mathematical modeling
statistical modeling
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David Clarke
Simon Fraser University Canada
mathematical modeling
statistical modeling
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Dominic Robson
King's College London United Kingdom
mathematical modelling
computational modelling
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Jay Mackenzie
University of Glasgow United Kingdom
mathematical modelling
computational modelling
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Michael Watson
University of New South Wales Australia
mathematical modelling
computational modelling
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Cameron Hall
University of Bristol United Kingdom
mathematical modelling
model analysis
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Hector Budman
University of Waterloo Canada
run-to-run optimization
modeling control optimization biological processes
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Daniel Graham
Imperial College London United Kingdom
mathematical modelling
statistical modelling
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