Taha Khan

Taha Khan is an Associate Teaching Professor at the Information Networking Institute within Carnegie Mellon University’s College of Engineering. He brings broad expertise in usable security and privacy, cyber-crime measurement, trustworthy AI, online censorship, and computer-science pedagogy to both his research and his teaching.

Education:

• Ph.D. in Computer Science, University of Illinois at Chicago, 2020
• B.S. in Electrical Engineering, Lahore University of Management Sciences, 2013

Research Interests:
Dr. Khan’s work centers on understanding and improving how real users interact with security systems. His recent projects include building learning-based tools that automatically detect and manage sensitive files in cloud storage, performing large-scale measurement of commercial VPN security and performance, and reverse-engineering mobile applications to uncover surveillance risks. He also investigates privacy management on social media and explores how cultural context shapes user responses to online censorship. Currently, he is extending this agenda into the domain of secure and effective code-debugging with large language models, while looking ahead to emerging challenges in AI-driven cyber forensics and blockchain-based verification.

Teaching & Mentorship:
Khan champions an active-learning philosophy, having taught courses ranging from introductory programming and hardware organization to advanced systems, security, networks, programming languages, and databases. He remains deeply committed to mentoring graduate students, guiding them toward impactful, socially relevant research.