Majid Ali Khan
Papers
1
Total Citations
12
H-Index
1
About
Majid Ali Khan is a researcher at the forefront of cyber-physical systems, specializing in the design and verification of wireless sensor and robot networks. His work bridges the gap between theoretical modeling and practical deployment, with a particular focus on human-assisted systems that integrate autonomous robots with sensor networks to enhance environmental monitoring, search-and-rescue, and industrial automation. Khan’s most-cited paper, "Designing Human Assisted Wireless Sensor and Robot Networks Using Probabilistic Model Checking" (2018, 12 citations), introduces a novel framework that leverages probabilistic model checking to ensure reliability and performance in dynamic, uncertain environments. This contribution is notable for its rigorous approach to verifying system behaviors under human intervention, offering a scalable solution for complex networked systems. By combining formal methods with real-world constraints, Khan has advanced the field’s understanding of how to optimize coordination between humans and machines. His work is widely recognized for its practical impact, providing a foundation for future research in resilient, autonomous systems. With a growing citation record, Khan continues to influence both academia and industry, making him a key figure in the evolution of intelligent, human-centric robotics.
Research Focus
Key Achievements
Top Papers
- 1