Fraud Detection Professors in Global

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Leman Akoglu
Carnegie Mellon University United States of America
fraud detection
anomaly detection
outlier detection
pattern discovery
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David Parker
University of Oxford United Kingdom
automated verification
probabilistic verification
verification
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David Dill
Stanford University United States of America
software verification
hardware verification
formal verification
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Dominic Peltier-rivest
Concordia University Canada
fraud detection
fraud prevention
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Guillermo Suarez De Tangil
King's College London United Kingdom
fraud detection
malware detection
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Daria Wijler
Maastricht University Netherlands
fraud detection
fraud forecasting models
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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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Bogdan Vasilescu
Carnegie Mellon University United States of America
fraud
detection
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Oskar Engdahl
University of Gothenburg Sweden
fraud
crime prevention
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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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Nathan Vanhoudnos
Carnegie Mellon University United States of America
detection
verification
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Sankaran Iyer
University of New South Wales Australia
object detection
anomaly 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
anomaly detection
botnet detection
intrusion detection
internet malware detection
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Erza Aminanto
Monash University Australia
anomaly detection
intrusion detection
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Georgios Fellouris
University of Illinois United States of America
anomaly detection
sequential detection
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Nadia Tawbi
Laval University Canada
malware detection
formal verification
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Du Huynh
University of Western Australia Australia
object detection
pattern recognition
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Marcel Pheijffer
Leiden University Netherlands
economic fraud
financial misconduct
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