Intrusion Detection Professors in Global

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Martin Ulriksen
Aarhus University Denmark
fault detection
system identification
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Biao Huang
University of Alberta Canada
fault detection
system identification
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John Canny
University of California, Berkeley United States of America
edge detection
motion sensing
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Gavin Dalton
University of Oxford United Kingdom
detector design
near-infrared detectors
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Sarah Power
Memorial University of Newfoundland Canada
non-invasive monitoring technologies
pattern recognition
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Kim Blackmore
Australian National University Australia
anomalous change detection
pattern recognition
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Paul Van Oorschot
Carleton University Canada
authentication
computer security
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Thomas Ristenpart
Cornell Tech University United States of America
authentication
computer security
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Paul Van Oorschot
Carleton University Canada
authentication
computer security
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Kristen Grauman
University of Texas at Austin United States of America
object activity recognition
machine perception
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Wen Hu
University of New South Wales Australia
security
compressive sensing
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Rui Pires Da Silva Castro
Eindhoven University of Technology Belgium
network inference
pattern recognition
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Mariska Te Beest
Utrecht University Netherlands
invasion ecology
species invasiveness
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Keith Spiller
University of Southampton United Kingdom
surveillance
monitoring
crime prevention
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Furkan Alaca
Queen's University Canada
user authentication
computer security
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Guofei Gu
Texas A&M University United States of America
intrusion detection
anomaly detection
botnet detection
internet malware detection
advanced persistent threat detection
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Fu-kuo Chang
Stanford University United States of America
intelligent structures
embedded sensors
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Ke Chen
University of Manchester United Kingdom
pattern recognition
machine perception
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Charlie Obimbo
University of Guelph Canada
intrusion detection and prevention systems
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Rajeevan Arunthavanathan
University of Regina Canada
fault detection
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Chee Tan
Monash University Australia
fault detection
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