Predictive Maintenance And Anomaly Detection In Manufacturing Professors in Global

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Alaa Elwany
Texas A&M University United States of America
data analytics in manufacturing
additive manufacturing
maintenance optimization
modeling and analysis of advanced manufacturing processes
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Chinedum Okwudire
University of Michigan United States of America
manufacturing automation
additive manufacturing
machining
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Alain Curodeau
Laval University Canada
computer-aided manufacturing
manufacturing engineering
machining
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Mirka Kans
Chalmers University of Technology Sweden
predictive maintenance
asset maintenance management
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Ryan O’neil
Concordia University Canada
predictive maintenance
intelligent maintenance
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Steven Liang
Georgia Institute of Technology United States of America
manufacturing automation
additive manufacturing
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Paula Branco
University of Ottawa Canada
anomaly detection
predictive analytics
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Paula Branco
University of Ottawa Canada
anomaly detection
predictive analytics
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Syed Haider
Columbia University United States of America
anomaly detection
predictive modeling
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Wenbo Sui
Technical University of Denmark Denmark
multimodal industrial anomaly detection
automated defect detection
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Jack Beuth
Carnegie Mellon University United States of America
additive manufacturing
design and manufacturing
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Guha Manogharan
Pennsylvania State University United States of America
additive manufacturing
design and manufacturing
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Jack Beuth
Carnegie Mellon University United States of America
additive manufacturing
design and manufacturing
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Craig Buchanan
Imperial College London United Kingdom
additive manufacturing
robotic additive manufacturing
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Hamid Parsaei
Texas A&M University United States of America
additive manufacturing
manufacturing systems design and analysis
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Zhijian Pei
Texas A&M University United States of America
additive manufacturing
machining
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Jose De Oliveira Leo
University of Warwick United Kingdom
additive manufacturing
machining
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Stephen Veldhuis
McMaster University Canada
additive manufacturing
machining
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Christina Mastrangelo
University of Washington United States of America
additive manufacturing
predictive analytics
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Mahdis Bisheban
University of Calgary Canada
predictive maintenance and anomaly detection in manufacturing
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Kazem Alemzadeh
University of Bristol United Kingdom
predictive maintenance
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