Benjamin C. M. Fung

Academic title(s): 

Canada Research Chair in Data Mining for Cybersecurity;

Associate Professor, School of Information Studies

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, an Associate Professor of Information Studies (SIS) at McGill University, an Associate Member of Computer Science (SoCS) at McGill University, a Co-curator of Cybersecurity in the World Economic Forum (WEF), and an Associate Editor of Elsevier Sustainable Cities and Society (SCS). 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 120 refereed publications that span the prestigious research forums of data mining, machine learning, privacy protection, cybersecurity, 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 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 licensed professional engineer in software engineering, 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, an Associate Member of MILA, and a Board Member of the National Cyber-Forensics and Training Alliance Canada (NCFTA Canada). 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
  • Research Scientist, National Cyber-Forensics and Training Alliance Canada (NCFTA Canada)
  • Associate Editor, Elsevier Sustainable Cities and Society: an international journal
  • 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: 
2018-2023 Defence Research and Development Canada (DRDC): Research areas: Software Engineering & Cybersecurity (Principal investigator)
2015-2020 Canada Research Chairs (CRC) Program (Tier 2): Digging into Big, Sensitive, and Malicious Data (Principal investigator)
2014-2019 Defence Research and Development Canada (DRDC): Assembly Code Data Mining (Principal investigator)
2016-2019 Zayed University: Securing Critical Infrastructures for Smart Cities in the UAE (Co-PI)
2013-2018 NSERC Discovery Grants: Privacy-Preserving Data Publishing for Health Data Mining (Principal investigator)

Research applications

  • Health informatics
  • Crime investigation
  • Authorship analytics
  • Malware analysis
  • Smart cities and transportation
Selected publications: