Majed Alhaisoni

Majed Alhaisoni is a **Researcher** with significant contributions to computer science and engineering domains, particularly in medical imaging, signal processing, and peer-to-peer (P2P) networking. His work spans topics like smart healthcare systems, IoT-based communication frameworks, and biometric gait recognition. He has collaborated extensively with scholars including Muhammad Attique Khan, Antonio Liotta, and Usman Tariq, publishing in venues such as IEEE Access, Sensors, and Future Gener. Comput. Syst..

Research Interests include applying deep learning and optimization algorithms to solve challenges in medical diagnostics, IoT networks, and biometric security. His work on gait pattern recognition and medical image segmentation demonstrates interdisciplinary expertise.

Publication Trends reveal a focus on computer vision, signal processing, and health informatics, with recent advancements in IoT device design, data protection, and multi-stream feature fusion.