Predictive Maintenance Professors in Global

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Ryan O’neil
Concordia University Canada
predictive maintenance
intelligent maintenance
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Jakob Bech
Technical University of Denmark Denmark
predictive modeling
erosion prevention
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Elle Saber
Australian National University Australia
predictive modeling
genomic prediction
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Yindalon Aphinyanaphongs
New York University United States of America
predictive analytics
translational predictive analytics
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Glenda Wardle
University of Sydney Australia
predictive modeling
ecosystem forecasting
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Tao Ma
University of Southern California United States of America
predictive analytics
time series forecasting
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Saurabh Amin
Massachusetts Institute of Technology United States of America
predictive analytics
prescriptive analytics
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Stefanus Jasin
University of Michigan United States of America
predictive analytics
prescriptive analytics
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Christophe Mues
University of Southampton United Kingdom
predictive analytics
prescriptive analytics
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Tiffany Bayley
Western University Canada
predictive analytics
prescriptive analytics
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Berk Gorgulu
McMaster University Canada
predictive analytics
prescriptive analytics
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Joydeep Ghosh
University of Texas at Austin United States of America
predictive analytics
prescriptive analytics
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Pengyi Shi
Purdue University United States of America
predictive analytics
prescriptive analytics
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Stephen Haben
University of Oxford United Kingdom
forecasting measures
probabilistic load forecasting
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Erik Nielsen
Texas A&M University United States of America
numerical weather prediction
operational forecasting
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Gard Helle
University of Southern Denmark Denmark
climate predictions
weather predictions
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Filip Schlembach
Maastricht University Netherlands
predictive uncertainty quantification
conformal prediction
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Moez Ali
Queen's University Canada
automated machine learning
automated modeling
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Nasir Gharaibeh
Texas A&M University United States of America
pavement preservation
pavement management
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Kazem Alemzadeh
University of Bristol United Kingdom
predictive maintenance
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Rasmus Frederiksen
Aalborg University Denmark
predictive maintenance
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