Domain Informed Machine Learning Professors in Global

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Junyao Xie
University of Guelph Canada
machine learning
physics-informed machine learning
dynamic modeling
predictive modeling
artificial intelligence
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Christopher Musco
New York University Tandon School of Engineering United States of America
randomized algorithms
scalable machine learning
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Madlene Nussbaum
Utrecht University Netherlands
statistical machine learning
predictive mapping
spatial data analysis
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Dana Randall
Georgia Institute of Technology United States of America
randomized algorithms
distributed algorithms
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Nadia Leal Reyes
Technical University of Denmark Denmark
physics-informed deep learning
automated analysis
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Anja Hennemuth
Charité - Universitätsmedizin Berlin Germany
digital image analysis
image-based modeling
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Congcong Sun
Wageningen University & Research Netherlands
dynamic modeling
artificial intelligence
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Bernard Voon Ee
Singapore Institute of Technology Singapore
dynamic modeling
artificial intelligence
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Mahdi Shahbakhti
University of Alberta Canada
machine learning
dynamic modeling
artificial intelligence
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Carlo Fischione
KTH Royal Institute of Technology Sweden
machine learning
networked artificial intelligence
artificial intelligence
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Vicenç Torra
Umeå University Sweden
decision modeling
artificial intelligence
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Susie Rao
ETH Zurich Switzerland
pattern mining
multimodal machine learning
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Jeffrey Siskind
Purdue University United States of America
machine vision
artificial intelligence
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Laszlo Talas
University of Bristol United Kingdom
machine vision
artificial intelligence
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Jevgenijs Galaktionovs
Aalborg University Denmark
machine vision
artificial intelligence
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Mohamad Dalal
Aalborg University Denmark
machine vision
artificial intelligence
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Anthony Bonner
University of Toronto Canada
machine learning
machine vision
artificial intelligence
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Joanna Zylinska
King's College London United Kingdom
machine vision
artificial intelligence
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Jeffrey Siskind
Purdue University United States of America
machine vision
artificial intelligence
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Anthony Bonner
University of Toronto Canada
machine learning
machine vision
artificial intelligence
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Xavier Keutgen
University of Chicago United States of America
predictive modeling
deep learning in medical imaging
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