Reduced Order Modelling Professors in Global

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Kalyanmoy Deb
Michigan State University United States of America
machine learning
computational optimization
multi-objective optimization
hybrid optimization algorithms
meta-modeling optimization
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Manuel Lopez-ibanez
University of Manchester United Kingdom
machine learning
combinatorial optimisation
multi-objective optimisation
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Fitalew Taye
University of Western Australia Australia
discrete choice modelling
statistical modelling
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Siva Maguluri
Georgia Institute of Technology United States of America
distributed optimization
stochastic optimization
optimization
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Subhrakanti Dey
Uppsala University Sweden
distributed optimization
stochastic optimization
distributed machine learning
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Spyridon Pougkakiotis
King's College London United Kingdom
stochastic optimisation
large-scale deterministic optimisation
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Julian Hall
University of Edinburgh United Kingdom
computational optimization
optimization
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Alan Welsh
Australian National University Australia
mixed models
statistical modelling
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Anthony Coache
Imperial College London United Kingdom
stochastic modeling
optimization
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Christian Frier
Aalborg University Denmark
stochastic modeling
probabilistic modeling
optimization
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Horand Gassmann
Dalhousie University Canada
stochastic modeling
optimization
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Randall Berry
Northwestern University United States of America
stochastic modeling
optimization
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Yaren Kaya
Columbia University United States of America
stochastic modeling
large-scale optimization
optimization
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Fatih Erenay
University of Waterloo Canada
stochastic modeling
optimization
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Daniel Freund
Massachusetts Institute of Technology United States of America
stochastic modeling
optimization
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Kaizheng Wang
Columbia University United States of America
stochastic modeling
large-scale optimization
optimization
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James Kermode
University of Warwick United Kingdom
machine learning
predictive modelling
materials modelling
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James Kermode
University of Warwick United Kingdom
machine learning
predictive modelling
materials modelling
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Gerhard Trippen
University of Toronto Canada
machine learning
modelling
optimization
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Mathisca De Gunst
Vrije Universiteit Amsterdam Netherlands
stochastic modeling
mathematical models
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Jørgen Andersen
University of Southern Denmark Denmark
low dimensional geometry
optimization
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