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Machine Learning In Networking
Machine Learning In Networking Professors in Global
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Professor
Aristide Akem
University of Southampton
United Kingdom
in-network computing
machine learning
mobile networks
applied machine learning
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Professor
Patrick Thiran
École Polytechnique Fédérale de Lausanne
Switzerland
network and systems theory
communication networks
wireless networks
data-driven network science
network monitoring
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Professor
Paul Patras
University of Edinburgh
United Kingdom
mobile networks
deep learning
network security
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Professor
Vyas Sekar
Carnegie Mellon University
United States of America
machine learning in networking
networking
network security
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Professor
Ernst-jan Wit
Università della Svizzera italiana
Switzerland
network modelling
statistical network science
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Professor
Guido Montúfar
University of California Los Angeles
United States of America
mathematical machine learning
deep learning
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Professor
Mohammed Abuibaid
Carleton University
Canada
in-network processing
machine learning
network optimization
next-generation networks
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Professor
Rachael Mansbach
Concordia University
Canada
network theory
deep learning
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Professor
Peter Grindrod
University of Oxford
United Kingdom
machine learning
network theory
deep learning
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Professor
Ayman Gh.
Australian National University
Australia
machine learning algorithms
deep learning
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Professor
Anna Lombardi
Linköping University
Sweden
modeling biological networks
neural networks
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Professor
Igor Jurisica
University of Toronto
Canada
machine learning
network biology
deep learning
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Professor
Long Zhang
University of Manchester
United Kingdom
machine statistical learning
neural networks
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Professor
Balaji Prabhakar
Stanford University
United States of America
network algorithms
data networks
wireless networks
stochastic network theory
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Professor
Elvin Isufi
Delft University of Technology
Netherlands
No active positions
network science
mathematical modeling
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Professor
Ben Fulcher
University of Sydney
Australia
network science
mathematical modeling
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Professor
Christopher Lynn
Yale University
United States of America
network science
brain networks
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Professor
José Moura
Carnegie Mellon University
United States of America
machine learning
network science
deep learning
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Professor
Erdem Varol
New York University Tandon School of Engineering
United States of America
network science
deep learning
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Professor
Chee-ming Ting
Monash University
Australia
network science
deep learning
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Professor
Travis Whetsell
Georgia Institute of Technology
United States of America
network interventions
network governance
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