Large Networks Professors in Global

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Evangelos Kranakis
Carleton University Canada
communication networks
wireless networks
social networks
ad hoc networks
sensor networks
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Evangelos Kranakis
Carleton University Canada
communication networks
wireless networks
social networks
ad hoc networks
sensor networks
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Vijay Sivaraman
University of New South Wales Australia
optical networks
wireless networks
computer networking
sensor networks
network architectures
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Daniel Ortiz Arroyo
Aalborg University Denmark
social networks
big data security
deep learning
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Ali Jadbabaie
Massachusetts Institute of Technology United States of America
social networks
sensor networks
network economics
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Mostafa Ammar
Georgia Institute of Technology United States of America
network architectures
network simulation
network virtualization
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Yee Teh
University of Oxford United Kingdom
large scale machine learning
deep learning
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Balaji Prabhakar
Stanford University United States of America
data networks
network algorithms
wireless networks
stochastic network theory
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Philip Paré
Purdue University United States of America
infrastructure networks
social networks
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Dobromir Rahnev
Georgia Institute of Technology United States of America
large-scale brain networks in cognition
artificial neural networks
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Munther Dahleh
Massachusetts Institute of Technology United States of America
learning in networked systems
social networks
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Petros Spachos
University of Guelph Canada
opportunistic networks
network programming
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Seyed Zarghami
Australian National University Australia
infrastructure networks
supply chain networks
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Rohit Negi
Carnegie Mellon University United States of America
big data analysis
social networks
sensor networks
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Stefan Schmid
Technical University of Berlin Germany
communication networks
wireless networks
social networks
network architectures
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Elisa Bellotti
University of Manchester United Kingdom
social networks
criminal networks
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Markus Pelger
Stanford University United States of America
big data problems
high-dimensional data
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Abdolreza Abhari
Toronto Metropolitan University Canada
social networks
network simulation
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Xenia Miscouridou
Imperial College London United Kingdom
statistical network modeling
deep learning
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Fang Wu
University of Saskatchewan Canada
complex network analytics
deep learning
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Andreas Hansen
Technical University of Denmark Denmark
network data
deep learning
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