Aurangzeb Khan
Papers
1
Total Citations
98
H-Index
1
About
Dr. Aurangzeb Khan is a leading figure in the field of oxide-based resistive switching devices, with a particular focus on their application in neuromorphic computing and bio-inspired systems. His most cited work, "Oxide-based resistive switching-based devices: fabrication, influence parameters and applications" (2021, 98 citations), makes a pivotal contribution by bridging materials science and neuroscience. In this study, Dr. Khan innovatively models the human nociceptor system—the body's pain-sensing mechanism—using a memristor-based artificial nociceptor circuit. By treating these nociceptors as a practical threshold-switching material system, he demonstrates how resistive switching devices can emulate biological pain responses, offering a transformative pathway for advanced robotic systems. This work not only deepens our understanding of memristor dynamics but also provides a tangible blueprint for creating sensory-aware, adaptive machines. With nearly 100 citations, his research has quickly become a cornerstone for engineers and materials scientists developing next-generation electronic skins and autonomous systems. Dr. Khan’s ability to synthesize complex biological principles with cutting-edge device physics marks him as a visionary in the quest for intelligent, human-like robotics.
Research Focus
Key Achievements
Top Papers
- 1