Nasir Rahman

Papers

Total Citations

H-Index

About

Dr. Nasir Rahman is a leading figure in the field of emerging memory and neuromorphic computing, with a primary focus on oxide-based resistive switching devices. His most impactful work, the 2021 paper "Oxide-based resistive switching-based devices: fabrication, influence parameters and applications," has garnered 98 citations and stands as a cornerstone in the field. In this seminal study, Rahman pioneered the development of memristor-based artificial nociceptors—electronic circuits that mimic the human body's pain-sensing system. By treating these nociceptors as a practical material system in threshold-switching devices, he has opened new avenues for integrating biological sensory mechanisms into robotic systems. His contributions bridge the gap between fundamental materials science and applied bio-inspired electronics, offering transformative potential for advanced prosthetics and autonomous robots. Rahman's work is distinguished by its systematic analysis of fabrication parameters and device performance, providing a roadmap for future research. His research continues to inspire innovations in hardware-based artificial intelligence and sensory-motor integration, making him a key voice in the next generation of smart, adaptive technologies.