Scheduling Models Professors in Global

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Kamal Hossain
University of Melbourne Australia
statistical modeling
computational modeling
machine learning
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Harsha Honnappa
Purdue University United States of America
model estimation
stochastic models
generative modeling
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Luke Miller
Radboud University Netherlands
computational modeling
neural network modeling
machine learning
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Magnus Röding
Chalmers University of Technology Sweden
statistical modeling
stochastic modeling
machine learning
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Rasmus Kragh Jørgensen
Aalborg University Denmark
prognostic modeling
statistical modeling
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Twan Basten
Eindhoven University of Technology Belgium
model-driven engineering
computational models
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Wicher Bergsma
London School of Economics and Political Science United Kingdom
statistical modeling
regression models
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Desmond Ong
University of Texas at Austin United States of America
cognitive models
probabilistic modelling
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Daniel Amyot
University of Ottawa Canada
business process modelling
modeling analysis
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Chris Snijders
Eindhoven University of Technology Belgium
model-based decision-making
computer models
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Aafke Schipper
Radboud University Netherlands
statistical modeling
process-based modeling
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Juergen Dingel
Queen's University Canada
model-driven engineering
software modeling
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Hashem Salarzadeh Jenatabadi
Monash University Australia
statistical modeling
behavioral modeling
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Thomas Rasmussen
Technical University of Denmark Denmark
traffic assignment models
transportation systems modelling
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Ekkart Kindler
Technical University of Denmark Denmark
business process modelling
model-based software engineering
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Edward Cripps
University of Western Australia Australia
probabilistic modeling
spatio-temporal models
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Mateus Maia Marques
University of Glasgow United Kingdom
statistical learning models
spatio-temporal modelling
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Timothy Dunn
Duke University Singapore
prognostic modeling
machine learning
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Timothy Dunn
Duke University Singapore
prognostic modeling
machine learning
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Timothy Dunn
Duke University Singapore
prognostic modeling
machine learning
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Timothy Dunn
Duke University Singapore
prognostic modeling
machine learning
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