Botnet Detection Professors in Global

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Leman Akoglu
Carnegie Mellon University United States of America
fraud detection
anomaly detection
outlier detection
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Mathias Fischer
University of Hamburg Germany
botnets
network monitoring
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G. Englebienne
University of Twente Netherlands
detection
robot sensor networks
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J.c. Van Gemert
Delft University of Technology Netherlands
detection
pattern recognition
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Christian Maack
Aalborg University Denmark
fault detection
anomaly detection
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Subhrakanti Dey
Uppsala University Sweden
detection
sensor networks
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Paula Branco
University of Ottawa Canada
fraud detection
anomaly detection
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Paula Branco
University of Ottawa Canada
fraud detection
anomaly detection
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Sankaran Iyer
University of New South Wales Australia
anomaly detection
object detection
pedestrian detection
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Pierre Tardif
University of Sherbrooke Canada
anomaly detection
intrusion detection
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Guofei Gu
Texas A&M University United States of America
botnet detection
internet malware detection
anomaly detection
intrusion detection
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Erza Aminanto
Monash University Australia
anomaly detection
intrusion detection
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Sandro Etalle
Eindhoven University of Technology Belgium
intrusion detection
network monitoring
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Du Huynh
University of Western Australia Australia
object detection
pattern recognition
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Hans Heyn
Chalmers University of Technology Sweden
fault detection
sensor networks
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Hans Heyn
University of Gothenburg Sweden
fault detection
sensor networks
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Georgios Fellouris
University of Illinois United States of America
anomaly detection
sequential detection
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Leo Van Ijzendoorn
Eindhoven University of Technology Belgium
point-of-care detection
detection of biomolecules
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Tengyao Wang
London School of Economics United Kingdom
change-point detection
sparse signal detection
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Jen Muggleton
University of Southampton United Kingdom
buried infrastructure detection
acoustic leak detection
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Dimitrios Georgoulias
Technical University of Denmark Denmark
botnets
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