Hashem Alyami
Papers
1
Total Citations
9
H-Index
1
About
Hashem Alyami is a researcher at the forefront of cybersecurity and healthcare technology, whose work bridges machine learning, encryption, and wireless sensor networks. His most-cited paper, "Hybrid Encryption Method for Health Monitoring Systems Based on Machine Learning" (2022, 9 citations), addresses a critical vulnerability: protecting transmission lines in health monitoring systems from disasters and vandalism. By integrating hybrid encryption with machine learning, Alyami proposes a robust framework for securing data transmitted across disparate wireless sensor devices positioned at varying distances. This contribution is pivotal for ensuring the reliability and safety of remote patient monitoring, particularly in environments prone to physical threats. His research not only enhances data integrity but also advances the practical deployment of IoT-based healthcare solutions. Alyami’s work demonstrates a keen ability to solve real-world security challenges, making him a notable figure in applied cryptography and intelligent system design. With a growing citation impact, his innovations are shaping the future of resilient, machine learning-driven health monitoring infrastructures.
Research Focus
Key Achievements
Top Papers
- 1