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Scalable Machine Learning Systems
Scalable Machine Learning Systems Professors in Global
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Professor
Marios Polycarpou
Imperial College London
United Kingdom
machine learning
adaptive learning control systems
intelligent systems networks
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Professor
Mahdi Tavakoli
University of Alberta
Canada
wearable robotics
machine learning
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Professor
Aaron Young
Georgia Institute of Technology
United States of America
wearable robotics
machine learning
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Professor
Zhenman Fang
Simon Fraser University
Canada
big data computing systems
machine learning
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Professor
Constantine Caramanis
University of Texas at Austin
United States of America
adaptable optimization
large-scale complex systems
machine learning
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Professor
George Pappas
University of Pennsylvania
United States of America
multi-robot systems
machine learning
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Professor
Yash Pant
University of Waterloo
Canada
multi-robot systems
machine learning
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Professor
Stephen Smith
University of Waterloo
Canada
multi-robot systems
machine learning
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Professor
Angela Schoellig
Technical University of Munich
Germany
multi-robot systems
machine learning
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Professor
Lyle Ungar
University of Pennsylvania
United States of America
optimization systems
machine learning
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Professor
Joshua Pulsipher
University of Waterloo
Canada
sustainable systems
machine learning
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Professor
Nick Sahinidis
Georgia Institute of Technology
United States of America
sustainable systems
machine learning
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Professor
Yuan Yao
Yale University
United States of America
sustainable systems
machine learning
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Professor
Alireza Abbasi
University of New South Wales
Australia
sustainable systems
machine learning
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Professor
Utsav Sadana
University of Montreal
Canada
reliability algorithms
machine learning
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Professor
John Doe
Maastricht University
Netherlands
automated systems
machine learning
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Professor
Yiping Lu
Northwestern University
United States of America
scaling laws
machine learning
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Professor
Honglak Lee
University of Michigan
United States of America
large-scale learning
machine learning
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Professor
Martin Trapp
KTH Royal Institute of Technology
Sweden
tractable models
probabilistic machine learning
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Professor
Hongpeng Zhou
University of Manchester
United Kingdom
interpretable learning
machine learning
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Professor
Gerard Gorman
Imperial College London
United Kingdom
adaptive computational algorithms
multi-scale modeling
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