Muhammad Khurram Khan

King Saud University

Papers

5

Total Citations

455

H-Index

4

About

Muhammad Khurram Khan is a leading researcher at the intersection of artificial intelligence, 6G communications, and cybersecurity. His work fundamentally advances how intelligent systems are designed and secured. In vision-motion codesign, he pioneered a method for integrating visual servoing with motion control, enabling high-speed, high-precision industrial automation—a contribution cited over 200 times. Khan also provides a comprehensive roadmap for embedding AI into 6G networks, addressing foundational challenges and future research opportunities, with his 2025 overview already garnering 123 citations. His impact extends to critical security domains: he has developed reinforcement-learning-based intrusion detection systems for modern communication networks and designed a blockchain-based mutual authentication protocol for IoT-enabled decentralized healthcare environments. These contributions, cited 67 and 44 times respectively, demonstrate his ability to solve real-world problems in network security and medical data protection. Through his high-impact publications, Khan is shaping the future of intelligent, secure, and autonomous communication systems, making him a pivotal figure in the advancement of next-generation technologies.

Research Focus

Key Achievements

4
H-Index
5
Papers
455
Total Citations
91
Avg Citations/Paper
🏆 Most Cited Paper
Vision-Motion Codesign for Low-Level Trajectory Generation in Visual Servoing Systems
217 citations · 2023
📈 Most Prolific Year: 2024 (3 Papers)
🤝 Key Collaborators: 40
🏛 Institutions: King Saud University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago