Preference Modeling Professors in Global

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Jaime Ide
Yale University United States of America
predictive modeling
theoretical modeling
pattern recognition
machine learning
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Magnus Röding
Chalmers University of Technology Sweden
statistical modeling
physical modeling
stochastic modeling
machine learning
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Ali Najmi
University of New South Wales Australia
choice modeling
activity-based modeling
transport demand modeling
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Kirsten Rohde
Erasmus University Rotterdam Netherlands
social preferences
time preferences
risk preferences
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Samir Maity
Aalborg University Denmark
predictive modeling
language modeling
machine learning
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Iain Moyles
York University Canada
behaviour modelling
mathematical modelling
disease modelling
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Arman Sabbaghi
Purdue University United States of America
model selection
modeling
machine learning
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Olga Vitek
Purdue University United States of America
model selection
modeling
machine learning
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Da Zhao
University of Melbourne Australia
predictive modeling
statistical modeling
machine learning
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Daniel Graham
Imperial College London United Kingdom
mathematical modelling
economic modelling
statistical modelling
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Joakim Munkhammar
Uppsala University Sweden
mathematical modeling
statistical modeling
machine learning
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Yi-chang Tsai
Georgia Institute of Technology United States of America
performance modeling
predictive safety modeling
prioritization
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Fangxin Fang
Imperial College London United Kingdom
predictive modeling
model reduction
machine learning
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Milad Ghasrikhouzani
University of New South Wales Canberra Australia
behavioral modelling
consumer preference research
transport modelling
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James Kermode
University of Warwick United Kingdom
predictive modelling
materials modelling
machine learning
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Benoit Liquet-weiland
Macquarie University Australia
model selection
bayesian modelling
machine learning
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Theo Arentze
Eindhoven University of Technology Belgium
discrete choice modeling
social network modeling
activity-based modeling
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Bilge Atasoy
Delft University of Technology Netherlands
decision making models
choice-based optimization models
integrating user preferences
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Summer Han
Stanford University United States of America
risk prediction modeling
health policy modeling
machine learning
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Kamal Hossain
University of Melbourne Australia
statistical modeling
computational modeling
machine learning
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Rik Vullings
Eindhoven University of Technology Belgium
modeling
pattern recognition
machine learning
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