Salman A. AlQahtani

Papers

Total Citations

291

H-Index

About

Salman A. AlQahtani is a forward-looking researcher shaping the future of telecommunications and intelligent systems. His primary research areas span next-generation wireless networks, computer vision, and edge computing. AlQahtani’s most impactful contribution is his comprehensive survey on the 6G ecosystem, which has garnered 280 citations since 2021. This work provides a critical roadmap for overcoming the limitations of 5G networks, addressing future challenges in connectivity, latency, and massive device integration—a foundational reference for both academia and industry. In computer vision, AlQahtani introduced a novel self-supervised learning network for binocular disparity estimation (2024), tackling the difficult problem of 3D reconstruction from endoscopic images, which is vital for surgical robotics. He also developed PFDI, a precise fruit disease identification model using Faster-CNN and context data fusion in edge computing environments (2023), demonstrating his versatility in applying AI to real-world agricultural challenges. Through these contributions, AlQahtani bridges theoretical innovation and practical deployment, making him a notable voice in the evolution of 6G and intelligent edge systems.