Physics Guided Machine Learning Professors in Global

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Tal Kachman
Radboud University Netherlands
machine learning
statistical physics
deep learning
financial machine learning
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Vinay Gogineni
University of Southern Denmark Denmark
physics-informed neural networks
machine learning
quantum machine learning
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Satyasaran Changdar
University of Copenhagen Denmark
physics-informed neural networks
machine learning
deep learning
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Nathaniel Bastian
Pennsylvania State University United States of America
federated machine learning
machine learning
deep learning
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Danica Sutherland
University of British Columbia Canada
machine learning
statistical machine learning
theoretical machine learning
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Somnath Ghosh
Johns Hopkins University United States of America
multi-physics modeling
machine learning
physics
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Mikhail Khodak
University of Wisconsin–Madison United States of America
automated machine learning
machine learning
federated learning
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Moez Ali
Queen's University Canada
automated machine learning
machine learning
automated modeling
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Samy Bengio
École Polytechnique Fédérale de Lausanne Switzerland
machine learning
statistical machine learning
deep learning
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Stefan Zohren
University of Oxford United Kingdom
applied machine learning
mathematical physics
deep learning
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Hina Shaheen
University of Manitoba Canada
machine learning
statistical machine learning
computational modelling
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Rickard Armiento
Linköping University Sweden
machine learning
physical modeling
theoretical physics
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Martin Kröger
ETH Zurich Switzerland
computational physics
statistical physics
theoretical physics
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David Brückner
University of Basel Switzerland
machine learning
statistical physics
theoretical physics
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Federico Bocci
Radboud University Netherlands
machine learning
deep learning
biophysical modeling
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Jeffrey Schenker
Michigan State University United States of America
mathematical physics
statistical physics
theoretical physics
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Jessica Sorrell
Johns Hopkins University United States of America
machine learning
machine learning algorithms
machine learning theory
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Andreas Zmija
Friedrich-Alexander-Universität Erlangen-Nürnberg Germany
applied physics
theoretical physics
physics
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John Garrett
University of Wisconsin–Madison United States of America
machine learning
deep learning
federated learning
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Mahdi Soltanolkotabi
University of Southern California United States of America
machine learning
deep learning
federated learning
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Mohsen Amiri
Stockholm University Sweden
machine learning
deep learning
federated learning
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