Benjamin C. M. Fung Dr. Benjamin Fung is an Associate Professor in the
Concordia Institute for Information Systems Engineering (CIISE) at
Concordia University in Montreal, and
a research scientist of the National Cyber-Forensics and Training Alliance
Canada (NCFTA Canada). He received a Ph.D. degree in computing science from
Simon Fraser University, joined Concordia as an Assistant Professor
in 2007, and was promoted to Associate Professor in 2011. He has over
60 refereed publications that span across
the prestigious research forums of data mining, privacy protection, cyber
forensics, web services, and building engineering. His data mining work in
authorship analysis has been widely reported by media
worldwide. His research
has been supported in part by the Discovery Grants and Strategic Project
Grants from the Natural Sciences
and Engineering Research Council of Canada (NSERC), Defence Research and Development Canada (DRDC), and Le Fonds québécois de la recherche sur la nature et les technologies (FQRNT),
and NCFTA Canada. Before pursuing his academic career,
he worked at
SAP
Business Objects as a system software developer for four years. Dr. Fung is a
licensed professional engineer in software
engineering, and is
currently affiliated with the
Computer Security Lab in CIISE. Interviewed by
International Media
(topic: authorship analysis) - March 2011 Interviewed by Fairchild TV
(topic: data mining & authorship analysis)
- May 2011
Audio Podcast: Beyond the Headlines
(topic: security & authorship analysis) -
2012
Interviewed by Concordia Journal
(topic: authorship analysis) - March 2011
Research website
created by Concordia
Associate Professor, Information Systems Engineering, Concordia University
Ph.D., M.Sc., B.Sc., Computing Science, Simon Fraser University, Canada
P.Eng., Software Engineering, Professional Engineers Ontario, Canada
ACM Senior Member & IEEE Senior Member
Research Interests:
- Data mining & databases
- Health
informatics
- Data security &
privacy
-
Authorship analysis
- Intelligent
systems design
-
Crime investigation
- Cloud
computing
- Text mining
