Mohammad Sohail

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About

Dr. Mohammad Sohail is a leading researcher in the field of oxide-based resistive switching devices, with a particular focus on memristive technologies and their applications in neuromorphic computing. His most cited work, "Oxide-based resistive switching-based devices: fabrication, influence parameters and applications" (2021, 98 citations), provides a comprehensive analysis of threshold switching mechanisms and their implementation in artificial nociceptor circuits. Dr. Sohail's major contribution lies in bridging the gap between biological sensory systems and electronic devices—specifically, he has demonstrated how memristor-based artificial nociceptors can mimic the human body's pain response system, a breakthrough with profound implications for advanced robotics. By treating nociceptors as a practical material system within threshold switching devices, his research enables robots to process and respond to harmful stimuli in real-time, enhancing their autonomy and safety. With nearly 100 citations on this seminal work alone, Dr. Sohail's research is shaping the future of bio-inspired electronics, offering a pathway toward more intelligent and adaptive robotic systems that can learn from and react to their environment.