Abdul Qayyum Khan
Papers
5
Total Citations
56
H-Index
4
About
Abdul Qayyum Khan’s research lies at the intersection of cyber-physical systems, nonlinear control theory, and intelligent robotics, with a focus on making autonomous systems both robust and socially aware. His most influential work, “Distributed fault detection and isolation in second order networked systems in a cyber–physical environment” (34 citations), addresses a critical challenge in multi-agent systems: ensuring reliability when communication and physical dynamics are tightly coupled. This contribution is foundational for applications ranging from drone swarms to industrial automation. Khan also advances practical robotic design, as seen in his work on a gimbal-based robotic eye for dynamic social environments, which demonstrates how decoupled vision systems can improve human-robot interaction. His expertise extends to robust control of nonlinear systems, including sampled-data model predictive control for flexible joint robots and sliding mode control for brushless DC motors—both essential for precision in medical and aerospace applications. Earlier in his career, he developed a wireless control robot using XBee modules and LabVIEW HMI, showcasing his ability to bridge low-cost hardware with sophisticated user interfaces. Through these contributions, Khan has established himself as a researcher dedicated to making networked and robotic systems both safer and more responsive to real-world demands.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4Design of Sliding Mode Control for a Brushless DC Motor5 citations · 2020
- 5Gimbal Based Robotic Eye for Dynamic Social Environment3 citations · 2020