Benjamin C. M. Fung

Academic title(s): 

Canada Research Chair in Data Mining for Cybersecurity;

Professor, School of Information Studies

Benjamin C. M. Fung
Contact Information
Phone: 
514-398-3360
Email address: 
ben.fung [at] mcgill.ca
Degree(s): 
  • PhD (Computing Science), Simon Fraser University, Canada
  • MSc (Computing Science), Simon Fraser University, Canada
  • BSc (Computing Science), Simon Fraser University, Canada

Designations: P.Eng. (Software Engineering), Professional Engineers Ontario; ACM Senior Member; IEEE Senior Member

Biography: 

I am actively recruiting graduate students in deep learning and cybersecurity. Please read my homepage for more details.


Dr. Benjamin Fung is a Canada Research Chair in Data Mining for Cybersecurity, a Full Professor of Information Studies (SIS) at McGill University, an Associate Member of Computer Science (SoCS) at McGill University, and a Co-curator of Cybersecurity in the World Economic Forum (WEF). He also serves as Associate Editors for IEEE Transactions of Knowledge and Data Engineering (TKDE) and Elsevier Sustainable Cities and Society (SCS). He received a Ph.D. degree in computing science from Simon Fraser University in 2007. Dr. Fung has over 130 refereed publications that span the prestigious research forums of data mining, machine learning, privacy protection, cybersecurity, 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 Natural Sciences and Engineering Research Council of Canada (NSERC), Social Sciences and Humanities Research Council (SSHRC), Defence Research and Development Canada (DRDC), and Fonds de recherche du Québec - Nature et technologies (FRQNT). He is a professional engineer in software engineering registered in Ontario, and is primarily affiliated with the Data Mining and Security Lab (DMaS) at McGill SIS. He is also an Affiliate Associate Professor in the Concordia Institute for Information Systems Engineering (CIISE) at Concordia University, and an Associate Member of MILA. He previously worked at SAP Business Objects for four years.

Graduate supervision: 
Professional activities: 
  • Co-curator (Cyber Security), World Economic Forum (WEF
  • Affiliate Associate Professor, Concordia Institute for Information Systems Engineering (CIISE), Concordia University
  • Associate Editor, IEEE Transactions on Knowledge and Data Engineering (TKDE)
  • Associate Editor, Elsevier Sustainable Cities and Society (SCS)
  • Senior PC Member, ACM SIGKDD, ACM CIKM, PAKDD.
Research areas: 
Data mining & databases
Electronic health records (EHR)
Information retrieval
Information security & privacy
Information sharing & integration
Current research: 
2020-2025 Canada Research Chairs (CRC) Program (Tier 2): Defending Canadian cyberspace and freedom of expression (Principal investigator)
2018-2023 NSERC/DND Discovery Grants: Deep Learning for Cybersecurity: Assembly Code and Authorship Analytics (Principal investigator)
2018-2023 Defence Research and Development Canada (DRDC): Research areas: Software Engineering & Cybersecurity (Principal investigator)
2019-2020 IDEaS: AI-powered Assembly Code Analytics for Discerning Malware Intent (Principal investigator)
2018-2019 NSERC Engage Grants: Health Insurance Fraud Detection and Characterization (Principal investigator)
2014-2019 Defence Research and Development Canada (DRDC): Assembly Code Data Mining (Principal investigator)

Research applications

  • Health informatics
  • Crime investigation
  • Authorship analytics
  • Malware analysis
  • Smart cities and transportation
  • Building occupant behaviour analytics
Selected publications: 
Selected talks and presentations: 
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