Predictive Manufacturing Professors in Global

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Bruce Tai
Texas A&M University United States of America
ai in manufacturing
manufacturing processes
additive hybrid manufacturing
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David Hardt
Massachusetts Institute of Technology United States of America
smart manufacturing
large scale additive manufacturing
manufacturing process control
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Ann-louise Andersen
Aalborg University Denmark
changeable manufacturing
reconfigurable manufacturing
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Nan Li
Imperial College London United Kingdom
machine learning in manufacturing
manufacturing processes
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Aneesh Nunna
Technical University of Denmark Denmark
model predictive control
data-driven predictive methods
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Marcial Gonzalez
Purdue University United States of America
predictive modeling
continuous manufacturing
manufacturing processes
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Lars Wingård
KTH Royal Institute of Technology Sweden
computer-aided manufacturing
production management
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Ilya Kovalenko
Pennsylvania State University United States of America
smart manufacturing
design and manufacturing
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Ilya Kovalenko
Pennsylvania State University United States of America
smart manufacturing
design and manufacturing
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Qunfen Qi
University of Bristol United Kingdom
smart manufacturing
digital manufacturing
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Simon Mathiesen
University of Southern Denmark Denmark
artificial intelligence in manufacturing
resilient manufacturing systems
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Michał Koziarski
University of Toronto Canada
generative modeling
molecular property prediction
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Alexander Brosius
Technische Universität Dresden Germany
shaping manufacturing processes
manufacturing technology
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Arun Srinivasa
Texas A&M University United States of America
custom manufacturing
manufacturing processes
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Aydin Nassehi
University of Bristol United Kingdom
manufacturing
ai in manufacturing
smart manufacturing systems
manufacturing system optimisation
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Bertil Wanner
KTH Royal Institute of Technology Sweden
manufacturing processes
production management
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Sami Kara
University of New South Wales Australia
additive manufacturing
sustainability manufacturing
digital manufacturing
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Mikhail Glazunov
Delft University of Technology Netherlands
generative modeling
probabilistic modeling
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Burak Ozdoganlar
Carnegie Mellon University United States of America
manufacturing processes
precision engineering
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Burak Ozdoganlar
Carnegie Mellon University United States of America
manufacturing processes
precision engineering
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Sharareh Taghipour
Toronto Metropolitan University Canada
production planning
data-driven predictive modeling
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