Deployable Machine Learning Professors in Global

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Pranav Bapat
Maastricht University Netherlands
machine learning
deep learning
scalable ai architectures
cloud-native deployments
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Kate Saenko
Boston University United States of America
adaptive machine learning
deep learning
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Robert Nowak
University of Wisconsin–Madison United States of America
data-efficient machine learning
deep learning
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Sergio Pellegrino
California Institute of Technology United States of America
deployable adaptive space structures
deployment kinematics
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Saurabh Gupta
University of Illinois United States of America
deep learning
learning-based robotics
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Gerasimos Spanakis
Maastricht University Netherlands
machine learning
deep learning
computational modeling
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Eranga Ukwatta
University of Guelph Canada
machine learning
deep learning
computational modeling
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Pietro Liò
University of Cambridge United Kingdom
deep learning
predictive modeling
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Samir Maity
Aalborg University Denmark
machine learning
deep learning
predictive modeling
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Claes Ladefoged
Technical University of Denmark Denmark
deep learning
predictive modeling
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John Doe
University of Wisconsin–Madison United States of America
machine learning
deep learning
predictive modeling
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Mogana Ganggayah
Monash University Australia
machine learning
deep learning
predictive modeling
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Kin-choong Yow
University of Regina Canada
machine learning
deep learning
deep reinforcement learning
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Kevin Luck
Vrije Universiteit Amsterdam Netherlands
deep learning
deep reinforcement learning
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Nina Taherimakhsousi
University of Victoria Canada
deep learning
deep reinforcement learning
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Wei Hu
University of Michigan United States of America
machine learning
deep learning
theoretical foundations of machine learning
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Emma Xue
Macquarie University Australia
deep learning
adaptive artificial intelligence
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Gary Grewal
University of Guelph Canada
machine learning
deep learning
reconfigurable computing
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Gary Grewal
University of Guelph Canada
machine learning
deep learning
reconfigurable computing
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Younggeun Kim
Michigan State University United States of America
deep learning
identifiable representation learning
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Varun Kanade
University of Oxford United Kingdom
deep learning
computational learning
randomised algorithms
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