Aadil Sarwar Khan

Pakistan Institute of Engineering and Applied Sciences

Papers

Total Citations

H-Index

About

Aadil Sarwar Khan is a researcher whose work sits at the intersection of cyber-physical systems, distributed control, and social robotics. His primary contributions lie in enhancing the reliability and autonomy of networked systems, with a particular focus on fault detection and isolation in second-order systems operating within cyber-physical environments. His most-cited paper (2020, 34 citations) addresses this critical challenge, proposing robust distributed algorithms that ensure system integrity even under adversarial conditions—a foundational contribution to the safety of interconnected infrastructures. Khan also explores human-robot interaction through innovative hardware design. In his work on a "Gimbal Based Robotic Eye for Dynamic Social Environment" (2020, 3 citations), he demonstrates how a gimbal-based vision system, prized for its high decoupling properties, can enable robots to track and respond to dynamic social cues with exceptional stability. This dual focus—from theoretical fault tolerance to practical, socially-aware robotic vision—showcases his versatility in bridging control theory and real-world application. Khan’s research is particularly relevant for students and engineers working on resilient autonomous systems, offering both foundational algorithms and tangible design insights for next-generation human-robot collaboration.