Machinery Diagnostics Professors in Global

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Peter Doerschuk
Cornell University Netherlands
machine learning
instrumentation
computer aided diagnosis
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Jina Ko
University of Pennsylvania United States of America
point-of-care diagnostics
machine learning
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Conor Caffrey
University of California, San Diego United States of America
point-of-care diagnostics
machine learning
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David Issadore
University of Pennsylvania United States of America
point-of-care diagnostics
machine learning
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Fatih Sarioglu
Georgia Institute of Technology United States of America
point-of-care diagnostics
disease detection
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Kornel Ehmann
Northwestern University United States of America
machine tool dynamics control
automation robotics
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Lovedeep Dhingra
Yale School of Medicine United States of America
cardiovascular diagnostics
machine learning
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Mahdis Bisheban
University of Calgary Canada
predictive maintenance and anomaly detection in manufacturing
machine learning
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Balakumar Balasingam
University of Windsor Canada
human machine systems
machine learning
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Egemen Kolemen
Princeton University United States of America
real-time diagnostics
machine learning
low temperature diagnostics
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Samuel Grauer
Pennsylvania State University United States of America
fluid combustion diagnostics
scientific machine learning
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Melissa Newell
Purdue University United States of America
pediatric diagnostics
adult diagnostics
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Laszlo Talas
University of Bristol United Kingdom
machine learning
automated disease detection
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Omar Rivasplata
University of Manchester United Kingdom
machine learning
machine learning robotics
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Molei Tao
Georgia Institute of Technology United States of America
machine learning
dynamical systems machine learning
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Richard Bowman
University of Glasgow United Kingdom
malaria diagnostics
instrumentation
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Thomas Fevens
Concordia University Canada
machine learning
computer-aided medical diagnosis
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Liwei Wang
Carnegie Mellon University United States of America
machine learning
mechanical computing
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Sadaf Salehkalaibar
University of Manitoba Canada
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machine learning
statistical machine learning
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Stephen Bach
Brown University United States of America
machine learning
statistical machine learning
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Felipe Tobar
Imperial College London United Kingdom
machine learning
statistical machine learning
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