Network Reconnaissance Professors in Global

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George Exarchakos
Eindhoven University of Technology Belgium
network dynamics
network complexity
predictive networks
network reconfiguration
overlay networks
machine learning
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Barath Raghavan
University of Southern California United States of America
network security
computer networking
wireless networking
wide-area networking
high-performance networking
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Barath Raghavan
University of Southern California United States of America
network security
computer networking
wireless networking
wide-area networking
high-performance networking
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Hermann Ney
RWTH Aachen University Germany
image object recognition
sign language recognition
text image recognition
machine learning
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Mark Lewis
Cornell University Netherlands
networks
network science
machine learning
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Peter Doerschuk
Cornell University Netherlands
networks
network science
systems networking
machine learning
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Qing Zhao
Cornell University Netherlands
networks
networking
network science
machine learning
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Konstantin Zuev
California Institute of Technology United States of America
network science
network resilience
network models
complex networks
network dynamics
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Konstantin Zuev
California Institute of Technology United States of America
network science
network resilience
network models
complex networks
network dynamics
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John Oommen
Carleton University Canada
pattern recognition
statistical pattern recognition
neural networks
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Kristen Grauman
University of Texas at Austin United States of America
visual recognition
object activity recognition
machine learning
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Magnus Almgren
Chalmers University of Technology Sweden
network security
network performance
computer network systems
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Keith Jenkins
University of Southern California United States of America
pattern recognition
neural networks
machine learning
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D.m.j. Tax
Delft University of Technology Netherlands
pattern recognition
neural networks
machine learning
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Pascal Vincent
University of Montreal Canada
pattern recognition
neural networks
machine learning
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Eilyan Bitar
Cornell University Netherlands
network science
information networks
machine learning
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A.c.c. Coolen
Radboud University Netherlands
random networks
neural networks
machine learning
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Rui Pires Da Silva Castro
Eindhoven University of Technology Belgium
pattern recognition
network inference
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Mathias Fischer
University of Hamburg Germany
network monitoring
network security
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Raheem Beyah
Georgia Institute of Technology United States of America
network monitoring
network security
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Miguel Rio
University College London United Kingdom
network measurement
network routing
computer networks
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