Mohamed Shehab

Mohamed Shehab is a Professor at the University of North Carolina at Charlotte (UNCC), affiliated with the College of Computing and Informatics. His research focuses on Information Privacy and Security, Access Control, Usable Security, and Application Security. He has published extensively on topics such as IoT security, user perceptions of privacy technologies, and mitigation strategies for digital threats.

His work bridges technical and human factors, examining how end-users interact with security tools like smart locks, two-factor authentication systems, and email confidentiality features. Key themes include user behavior analysis, policy design for social networks, and ethical implications of emerging technologies such as thermal imaging and biometric authentication.

Recent studies highlight his exploration of cross-cultural smartphone security practices, privacy policies in Middle Eastern financial institutions, and bio-inspired frameworks for countering insider threats. His research often employs mixed-methods approaches, combining surveys, eye-tracking experiments, and system design evaluations to address real-world cybersecurity challenges.