Sultan Alahmari
Papers
2
Total Citations
12
H-Index
2
About
Sultan Alahmari is a researcher advancing the frontiers of artificial intelligence in precision agriculture and industrial cybersecurity. His work centers on developing intelligent, data-driven solutions for real-world challenges, particularly where data is scarce or imbalanced. Alahmari’s key contribution in agriculture is the integration of the Harris Hawks Optimizer with Graph Convolutional Networks for weed detection, a novel approach that enhances resource efficiency and crop yield in precision farming. This work has garnered 9 citations, reflecting its growing influence in sustainable agricultural technology. In the domain of Industrial Internet of Things (IIoT), Alahmari addresses the critical issue of cyber threat detection on imbalanced datasets. His proposed feature enhancement model with up-sampling techniques, published in 2025, tackles the hyper-automation challenges of Industry 5.0, achieving 3 citations in a rapidly evolving field. By bridging advanced optimization algorithms with deep learning, Alahmari’s research not only improves detection accuracy but also ensures robust security in industrial networks. His dual focus on agricultural and industrial AI demonstrates a versatile commitment to applying computational intelligence where it can drive significant practical impact.
Research Focus
Key Achievements
Top Papers
- 1
- 2