Embedded Machine Learning Professors in Global

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Phil Koopman
Carnegie Mellon University United States of America
embedded systems
embedded control networks
embedded systems education
distributed embedded systems
secure embedded systems
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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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Hossein Hassani
Toronto Metropolitan University Canada
embodied ai
machine learning
deep learning
reinforcement learning
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Yisong Yue
California Institute of Technology United States of America
machine learning
structured machine learning
statistical machine learning
interactive machine 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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Tal Kachman
Radboud University Netherlands
machine learning
deep learning
reinforcement learning
financial machine learning
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Mohsen Amiri
Stockholm University Sweden
machine learning
deep learning
reinforcement learning
federated learning
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Jason Lee
University of California, Berkeley United States of America
machine learning
deep learning
reinforcement learning
representation learning
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Brokoslaw Laschowski
University of Toronto Canada
machine learning
deep learning
reinforcement learning
neural networks
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Seyed Kia
Tilburg University Netherlands
machine learning
deep learning
federated learning
neural networks
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Jason Lee
University of California, Berkeley United States of America
machine learning
deep learning
reinforcement learning
representation 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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Gerasimos Spanakis
Maastricht University Netherlands
machine learning
deep learning
computational modeling
neural networks
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Yaoliang Yu
University of Waterloo Canada
machine learning
distributed learning
federated learning
representation learning
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Tahereh Koohi
University of New South Wales Australia
machine learning
deep learning
evolutionary algorithms
neural networks
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Honglak Lee
University of Michigan United States of America
machine learning
deep learning
representation learning
large-scale learning
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Pascal Vincent
University of Montreal Canada
machine learning
deep learning
representation learning
neural networks
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Yuhong Guo
Carleton University Canada
machine learning
reinforcement learning
federated learning
representation learning
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Ferenc Huszár
University of Cambridge United Kingdom
machine learning
deep learning
bayesian machine learning
representation learning
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Yiran Chen
Duke University Singapore
embedded systems
machine learning
deep learning
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Hung Cao
University of New Brunswick Canada
embedded ai
machine learning
federated learning
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