Brijesh Tripathi

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About

Brijesh Tripathi is a leading researcher in the field of emerging memory technologies and bio-inspired computing, with a particular focus on hybrid perovskite materials. His work centers on developing next-generation memristive devices that overcome the limitations of traditional von Neumann architecture, enabling faster computing with significantly lower power consumption. In his highly cited 2023 study (22 citations), Tripathi investigated the critical role of interfacial layers in achieving reliable resistive switching in Dion-Jacobson perovskite-based memristors, demonstrating how these materials can enable multilevel storage and history-dependent conductivity modulation for in-memory computing applications. More recently, his pioneering 2024 work introduced BDAPbI4 Dion-Jacobson hybrid perovskite-based artificial nociceptors fabricated on biodegradable substrates, representing a significant step toward sustainable neuromorphic electronics. This innovative approach mimics biological pain perception in hardware, with potential applications in smart robotics and human-machine interfaces. Tripathi's research uniquely combines materials science, device physics, and bio-inspired design, establishing him as a key contributor to the development of energy-efficient, environmentally friendly computing systems that bridge the gap between biological neural networks and artificial intelligence hardware.