Preview Lecture: From APKs to Insight: AI-Driven Android Malware Detection

At This Event

Learn how organizations can navigate uncertainty while successfully launching and scaling digital and AI initiatives—turning strategy into measurable results. This webinar presents how machine learning can be applied to detect malicious Android applications by transforming raw APK files into meaningful security insights. You’ll learn about the growing importance of mobile malware detection as smartphones have become central to personal, financial, and organizational activities, making them attractive targets for cybercriminals. It introduces the end-to-end process of Android malware detection, from feature extraction and data analysis to model building and interpretation, and shows how AI can help improve the speed, accuracy, and intelligence of modern mobile threat detection.

About the Speaker

Maryam Tanha is an assistant teaching professor in the Khoury College of Computer Sciences at Northeastern University, based in Vancouver. Her research interests are deeply rooted in detecting Android malware and designing resilient software-defined networks. In 2022, as a faculty member at the BCIT School of Computing and Academic Studies, she received a grant to study how to use machine learning to detect and analyze Android malware, and to mentor undergraduate students in that topic.

About the Lecture Series

Curious about what a graduate classroom experience is really like? Northeastern’s Graduate Lecture Previews offer prospective students the opportunity to engage directly with faculty and explore timely, industry-relevant topics shaping today’s workforce. Whether you’re advancing in your current field or building new technical expertise, these sessions provide a firsthand look at our teaching approach, faculty thought leadership, and the practical skills integrated into our graduate programs.