Rajwali Khan
Papers
1
Total Citations
98
H-Index
1
About
Dr. Rajwali Khan is a leading figure in the field of oxide-based resistive switching devices, with a focused expertise in neuromorphic computing and bio-inspired electronics. His most-cited work, the 2021 paper "Oxide-based resistive switching-based devices: fabrication, influence parameters and applications" (98 citations), makes a pivotal contribution by bridging materials science and neuroscience. Dr. Khan systematically investigates the fabrication and parameter optimization of memristors, demonstrating how these devices can emulate the human nociceptor system—the body's pain-sensing mechanism. By constructing a practical threshold-switching-based artificial nociceptor circuit, his research provides a tangible material system for robotic systems, enabling them to process and respond to harmful stimuli. This work not only advances the understanding of resistive switching mechanisms but also opens new pathways for developing intelligent, self-protective robotics and advanced neural interfaces. Dr. Khan’s contributions are highly influential, offering a foundational framework for integrating biological sensory functions into electronic hardware, with significant implications for next-generation artificial intelligence and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1