Deterministic Networking Professors in Global

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Konstantin Zuev
California Institute of Technology United States of America
network dynamics
complex networks
network resilience
network models
network science
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Konstantin Zuev
California Institute of Technology United States of America
network dynamics
complex networks
network resilience
network models
network science
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Balaji Prabhakar
Stanford University United States of America
data networks
stochastic network theory
network algorithms
wireless networks
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Barath Raghavan
University of Southern California United States of America
computer networking
high-performance networking
wide-area networking
wireless networking
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Stefan Schmid
Technical University of Berlin Germany
communication networks
distributed systems
datacenter networks
wireless networks
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Ozan Tonguz
Carnegie Mellon University United States of America
optical networks
telecommunications networking
wireless networks
high speed networking
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Bong-hwan Oh
Xi’an Jiaotong–Liverpool University China
deterministic networking
time-sensitive networking
software-defined networking
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Mohammed Abuibaid
Carleton University Canada
deterministic networking (detnet)
network optimization
next-generation networks
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Christian Steglich
Linköping University Sweden
dynamic networks
stochastic network models
network research
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Vyas Sekar
Carnegie Mellon University United States of America
machine learning in networking
networking
software-defined networking
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Matthias Grossglauser
École Polytechnique Fédérale de Lausanne Switzerland
stochastic networks
discrete choice models
network science
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Glenn Vinnicombe
University of Cambridge United Kingdom
power distribution networks
complex networks
communication networks
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Qing Zhao
Cornell University Netherlands
networking
networks
network science
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Jorge Cortes
University of California, San Diego United States of America
distributed decision making
network optimization
network science
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Elad Schiller
Chalmers University of Technology Sweden
large-scale distributed networks
vehicular networks
distributed computing
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Xenia Miscouridou
Imperial College London United Kingdom
statistical network modeling
deep generative models
deep learning
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Zheng Chen
Linköping University Sweden
distributed machine learning
complex networks
wireless networks
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Bernard Wong
University of Waterloo Canada
networking
self-organizing networks
distributed systems
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Miguel Rio
University College London United Kingdom
computer networks
programmable networks
network routing
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Rahim Rahmani
Stockholm University Sweden
distributed intelligence
distributed systems
distributed data processing
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Ning Lu
Queen's University Canada
distributed machine learning
communication networks
wireless networks
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