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Benjamin C. M. Fung
Associate Professor, School of Information Studies, McGill University
Ph.D., M.Sc., B.Sc., Computing Science, Simon Fraser University, Canada
P.Eng., Software Engineering, Professional Engineers Ontario, Canada
ACM & IEEE Senior Member

Research Interests:  
- Data mining & databases - Text mining
- Data security & privacy - Authorship analysis
- Services computing - Malware analysis
   
Applications:  
- Health information systems - Transportation
- Crime investigation - Fashion communication
- Building energy  
   

Recruitment: I am recruiting one doctoral student to work on assembly code mining.

Dr. Benjamin Fung is an Associate Professor of Information Studies (SIS) at McGill University and a Research Scientist in the National Cyber-Forensics and Training Alliance Canada (NCFTA Canada). He received a Ph.D. degree in computing science from Simon Fraser University in 2007, under the supervision of Prof. Ke Wang. Dr. Fung has over 70 refereed publications that span the prestigious research forums of data mining, privacy protection, cyber forensics, services computing, and building engineering. His data mining works in crime investigation and authorship analysis have been 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), Insight Development Grants from the Social Sciences and Humanities Research Council (SSHRC), Defence Research and Development Canada (DRDC), and Le Fonds québécois de la recherche sur la nature et les technologies (FQRNT), and NCFTA Canada. Before joining McGill, he was an Assistant/Associate Professor at Concordia University for six years, and a system software developer at SAP Business Objects for four years. Dr. Fung is a licensed professional engineer in software engineering, and is currently affiliated with the Data Mining and Security Lab at SIS. He is also an Affiliate Associate Professor of Information Systems Engineering (CIISE) at Concordia.  


Interviewed by McGill Headway (topic: authorship analysis) - Apr. 2014

Interviewed by International Media (topic: hunting for cyber criminals) - June 2013

Audio Podcast: Beyond the Headlines (topic: security & authorship analysis) - 2012

Interviewed by Fairchild TV (topic: data mining & authorship analysis) - May 2011

Interviewed by International Media (topic: authorship analysis) - March 2011

Interviewed by Concordia Journal (topic: authorship analysis) - March 2011