Muhammad Farooq Khan
Papers
1
Total Citations
78
H-Index
1
About
Muhammad Farooq Khan is a leading researcher in the field of bio-inspired electronics and neuromorphic computing, with a particular focus on developing flexible, biomimetic devices for next-generation artificial intelligence. His most impactful work centers on organic–inorganic halide perovskite-based diffusive memristors, which he has pioneered for use as artificial nociceptors—electronic components that mimic the human body’s pain-sensing and warning systems. In his highly cited 2023 paper (78 citations), Khan demonstrated how these flexible devices can replicate the threshold, adaptation, and sensitization behaviors of biological nociceptors, a critical step toward creating humanoid robots capable of responding to challenging environments. His contributions bridge materials science and neural engineering, offering scalable solutions for integrating sensory perception into soft robotics and AI hardware. With a growing citation record reflecting the urgency of his work, Khan is recognized for advancing the frontier of biomimetic electronics, where his innovations in perovskite memristors promise to make machines more adaptive, resilient, and human-like in their responses to external stimuli.
Research Focus
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Top Papers
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