Physics Based Machine Learning Professors in Global

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Van Carey
University of California, Berkeley United States of America
machine learning in energy applications
computational modeling
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Sathish Marimuthu
University of Glasgow United Kingdom
computational modeling
mechanical modeling
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Muhammad Khalid
University of Alberta Canada
computational modeling
multiphysics
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Molei Tao
Georgia Institute of Technology United States of America
machine learning
probabilistic machine learning
dynamical systems machine learning
deep learning theory
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Jan Koster
University of Groningen Netherlands
physics
materials physics
quantum physics
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Jacinto Ulloa
University of Michigan United States of America
multi-physics systems
computational mechanics
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Morten Christiansen
Cornell University Netherlands
computational modeling
statistical learning
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Yisong Yue
California Institute of Technology United States of America
statistical machine learning
machine learning
structured machine learning
interactive machine learning
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Yisong Yue
California Institute of Technology United States of America
statistical machine learning
structured machine learning
interactive machine learning
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André Longtin
University of Ottawa Canada
biological physics
physiological modelling
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Chris Marianetti
Columbia University United States of America
applied physics
materials physics
data-based materials science
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Yang Shao-horn
Massachusetts Institute of Technology United States of America
materials physics
chemical physics
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Michael Thoss
University of Freiburg Germany
materials physics
chemical physics
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Chris Pearce
University of Glasgow United Kingdom
multi-physics problems
computational mechanics
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Emanuela Bosco
Eindhoven University of Technology Belgium
multi-physics problems
computational mechanics
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Muhammad Hafez
University of Southampton United Kingdom
reinforcement learning
continual robot learning
robot learning
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Benjamin Zwick
University of Western Australia Australia
machine learning
computational biophysics
mathematical modelling
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Gregory Wagner
Northwestern University United States of America
multi-physics problems
computational simulations
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Nikos Bouklas
Cornell University Netherlands
machine learning
multiphysics
computational mechanics
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Brenda Lee
University of Waterloo Canada
biological physics
medical physics
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Delphine Bouilly
Université de Montréal Canada
biological physics
medical physics
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