Real Time Forecasting Professors in Global

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Magnus Röding
Chalmers University of Technology Sweden
machine learning
stochastic modeling
statistical modeling
simulation
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R. Wilson
Michigan State University United States of America
predictive analytics
new product forecasting
machine learning
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Rayjean Hung
University of Toronto Canada
risk prediction
machine learning
statistical modeling
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Saber Salehkaleybar
Leiden University Netherlands
predictive analytics
machine learning
statistical modeling
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Minh Huynh
Monash University Australia
predictive analytics
machine learning
statistical modeling
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Sandun Silva
Macquarie University Australia
predictive analytics
machine learning
statistical modelling
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Christian Maack
Aalborg University Denmark
stochastic modelling
machine learning
simulation
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Kamal Hossain
University of Melbourne Australia
machine learning
statistical modeling
computational modeling
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Joakim Munkhammar
Uppsala University Sweden
machine learning
statistical modeling
mathematical modeling
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Paul Ayers
McMaster University Canada
machine learning
mathematical modelling
simulation
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James Kermode
University of Warwick United Kingdom
predictive modelling
machine learning
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James Kermode
University of Warwick United Kingdom
predictive modelling
machine learning
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Payam Barnaghi
Imperial College London United Kingdom
predictive modelling
machine learning
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Zia Farooq
Umeå University Sweden
predictive modelling
machine learning
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Laurence Frank
Utrecht University Netherlands
predictive modelling
machine learning
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Joseph Gonzalez
University of California, Berkeley United States of America
real-time model serving
machine learning
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Andreas Prein
ETH Zurich Switzerland
high-resolution weather modeling
climate projections
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Haruko Wainwright
Massachusetts Institute of Technology United States of America
real-time model-data integration
machine learning
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Yiwei Wang
London School of Economics and Political Science United Kingdom
time series modeling
machine learning
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Martina Vittorietti
Delft University of Technology Netherlands
time series modeling
machine learning
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Eric Polley
University of Chicago United States of America
risk prediction
machine learning
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