Embedded Machine Learning Professors in Global

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Flora Salim
University of New South Wales Australia
robust machine learning
trustworthy machine learning
multimodal machine learning
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Kevin Luck
Vrije Universiteit Amsterdam Netherlands
deep learning
reinforcement learning
robot learning
evolutionary robotics
deep reinforcement learning
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David Inouye
Purdue University United States of America
robust machine learning
trustworthy machine learning
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Tian Li
University of Chicago United States of America
trustworthy machine learning
federated learning
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Tian Li
University of Chicago United States of America
trustworthy machine learning
federated learning
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Tian Li
University of Chicago United States of America
trustworthy machine learning
federated learning
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Sitan Chen
Harvard University United States of America
quantum learning
algorithmic learning
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Borzou Rostami
University of Alberta Canada
machine learning applied to real-time decision making
integration of machine learning and optimization
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Priya Donti
Massachusetts Institute of Technology United States of America
robust machine learning
physics-informed machine learning
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Subramanian Ramamoorthy
University of Edinburgh United Kingdom
robot learning
physics-informed machine learning
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Geoff Webb
Monash University Australia
machine learning
interactive machine learning
ensemble machine learning
bayesian machine learning
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Cheng Ouyang
University of Oxford United Kingdom
trustworthy machine learning
multimodal machine learning
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Gaurav Sukhatme
University of Southern California United States of America
learning robots
networked robots
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Gaurav Sukhatme
University of Southern California United States of America
learning robots
networked robots
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Gaurav Sukhatme
University of Southern California United States of America
learning robots
networked robots
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Atul Prakash
University of Michigan United States of America
trustworthy machine learning
adversarial machine learning
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David Brainard
University of Pennsylvania United States of America
machine vision
computational modeling
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Chris De Sa
Cornell University Netherlands
deep learning
high-performance machine learning
machine learning frameworks
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John Yen
Pennsylvania State University United States of America
machine learning
federated learning
deep representation learning
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Joseph Gonzalez
University of California, Berkeley United States of America
machine learning
accelerated deep learning
federated learning
deep reinforcement learning
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Han Wu
University of Southampton United Kingdom
federated learning
adversarial machine learning
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