Mohammed J. Alhaddad

King Abdulaziz University, University of Essex

Papers

Total Citations

H-Index

About

Dr. Mohammed J. Alhaddad is a pioneering researcher at the intersection of cybersecurity, next-generation wireless networks, and intelligent human-computer interaction. His work addresses critical challenges in securing the rapidly expanding Internet of Things (IoT) ecosystem, particularly for 5G and emerging 6G technologies. His most impactful contribution, "Evolutionary Detection Accuracy of Secret Data in Audio Steganography for Securing 5G-Enabled Internet of Things" (15 citations), introduces novel evolutionary algorithms to detect hidden data in audio streams—a vital capability for protecting sensitive communications in ultra-reliable, low-latency networks. Beyond security, Dr. Alhaddad explores the future of collaborative digital spaces. His work on "Interactions within Distributed Mixed Reality Collaborative Environments" (5 citations) envisions seamless integration of virtual and real worlds through mobile and wearable computing, while his research on "An Adaptive Ambient Intelligent Platform for Recommending Recipes Using Computing with Words" (2 citations) demonstrates how natural language processing can enhance ambient intelligence in smart homes. By bridging secure communications with intuitive, context-aware interfaces, Dr. Alhaddad is shaping a future where connectivity is both safe and seamlessly integrated into daily life.