Kassem Fawaz

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About

Kassem Fawaz is a prominent researcher whose work sits at the intersection of privacy, security, and human-computer interaction, with a particular focus on emerging technologies that challenge conventional notions of personal data protection. His research tackles pressing questions about how individuals interact with privacy-sensitive systems, ranging from social robots to mobile platforms and smart devices. In his notable work "Confidant: A Privacy Controller for Social Robots" (2022), Fawaz investigates how robots can intelligently discern and manage the sensitivity of information shared during human interactions — a question with profound implications as social robotics becomes increasingly embedded in everyday life. This paper has already garnered 18 citations, reflecting the timeliness and significance of the problem he addresses. Fawaz's broader contributions demonstrate a consistent commitment to designing privacy-preserving systems that are both technically rigorous and deeply attuned to human behavior. His interdisciplinary approach bridges engineering, policy, and user experience, making his work accessible and actionable across multiple communities. Researchers and students interested in privacy by design, robot ethics, or usable security will find his scholarship both foundational and forward-looking.