Majid Altuwairiqi

Papers

Total Citations

H-Index

About

Majid Altuwairiqi is a researcher whose work bridges cybersecurity, health monitoring, and human-computer interaction. His key research areas include encryption methods for wireless sensor networks, machine learning applications in healthcare, and the psychological impact of social media design. One of his major contributions is the development of a hybrid encryption method for health monitoring systems, which integrates machine learning to secure vulnerable transmission lines against disasters and vandalism—a critical advancement for protecting infrastructure in wireless sensor networks. This work has garnered 9 citations, reflecting its relevance to secure IoT and healthcare systems. Altuwairiqi also explores the problematic attachment to social media, investigating how platform design—through features like sharing and privacy controls—can influence user behavior and well-being. His 2019 paper on this topic, also with 9 citations, highlights his interdisciplinary approach, combining technical solutions with behavioral insights. By addressing both the security of health systems and the ethical design of social technologies, Altuwairiqi’s research offers practical implications for safer, more user-centered digital environments. His work is particularly valuable for students and researchers interested in the intersection of cybersecurity, machine learning, and social media psychology.