Systems Machine Learning Professors in Global

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Audrey Corbeil Therrien
University of Sherbrooke Canada
real-time systems
edge machine learning
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Jingrong Wang
Memorial University of Newfoundland Canada
scalable machine learning systems
distributed machine learning
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Jörg Raisch
Technical University of Berlin Germany
real-time systems
control systems
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Geoff Webb
Monash University Australia
machine learning
bayesian machine learning
ensemble machine learning
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Kash Khorasani
Concordia University Canada
real-time systems
modeling large scale systems
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Jihong Wang
University of Warwick United Kingdom
power system modelling
control systems
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Abhirup Banerjee
University of Oxford United Kingdom
computational modelling
geometric machine learning
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Donald Wiberg
University of California Santa Cruz United States of America
system parameter estimation
control systems
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Petra Vértes
University of Cambridge United Kingdom
computational modelling
systems neuroscience
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George Pappas
University of Pennsylvania United States of America
machine learning
learning control systems
multi-robot systems
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Camillo Taylor
University of Pennsylvania United States of America
learning control systems
multi-robot systems
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Susie Rao
ETH Zurich Switzerland
pattern mining
multimodal machine learning
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John Chandler
University of Illinois United States of America
control systems
machine learning applications
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Douglas Barlage
University of Alberta Canada
systems
microsystems
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Behrad Gholipour
University of Alberta Canada
systems
microsystems
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Pak Liew
Singapore Institute of Technology Singapore
robotics systems
systems integration
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Soundar Kumara
Pennsylvania State University United States of America
complex systems analysis
intelligent systems
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Shankar Sastry
University of California, Berkeley United States of America
control systems
networked systems
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Peter Goldsmith
University of Calgary Canada
control systems
intelligent systems
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Siamak Arzanpour
Simon Fraser University Canada
control systems
intelligent systems
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Ramtin Rakhsha
Simon Fraser University Canada
control systems
intelligent systems
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