Date: June 16, 2026.
Time: 1:30pm
Location: National Dong Hwa University Science and Engineering BuildingⅡ3F A325 Meeting Room
Presenter:
Benjamin Fung
Professor, School of Information Studies, McGill University, Canada
Topic:
AI for Cybersecurity and Crime Investigation
Abstract:
This seminar highlights a selection of high-impact research projects currently underway at the McGill Data Mining and Security (DMaS) Lab. The presentation is structured into three core components. First, we explore AI-assisted software reverse engineering. As malicious software threats increase exponentially, assembly code analysis has become a critical line of defense. However, this process remains notoriously labor-intensive, even for veteran security professionals. We discuss how the development of advanced assembly code clone search engines can significantly automate and streamline these workflows. Second, the seminar delves into authorship analysis. In modern digital forensics, investigators frequently encounter anonymous emails, social media posts, and encrypted communications. We present novel data mining and machine learning methodologies designed to identify authors and extract actionable intelligence from anonymous digital footprints. Finally, the session concludes with an overview of current research initiatives and a discussion of potential research opportunities for students and collaborators at McGill University.
Bio：
Benjamin Fung is a Full Professor in the School of Information Studies and an Associate Member in the School of Computer Science at McGill University. A distinguished researcher in data mining and cybersecurity, he serves as the Editor-in-Chief of Elsevier Sustainable Cities and Society: Advances (SCSADV) and an Associate Editor of ACM Transactions on Knowledge Discovery from Data (TKDD). He earned his Ph.D. in Computing Science from Simon Fraser University and is a licensed Professional Engineer (P.Eng.) in software engineering. With over 200 refereed publications and more than 19,000 citations (h-index 64), Prof. Fung’s work spans machine learning, privacy protection, and digital forensics. His research, developed in close collaboration with the national defense, transportation, and healthcare sectors, has been featured extensively by international media, particularly his contributions to authorship analysis and criminal investigation. For more information, visit his research website: http://dmas.lab.mcgill.ca/fung.
Remind：
1.In Class、English speech
2.including cross-domain autonomous learning Sign up(Link)