Advaita Ghosh

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About

Advaita Ghosh is a pioneering researcher at the forefront of neuromorphic engineering and self-powered sensor systems, driving innovation toward next-generation artificial intelligence. His most-cited work, "Perspective of smart self-powered neuromorphic sensor and their challenges towards artificial intelligence for next-generation technology" (2021, 10 citations), critically examines the integration of energy-autonomous sensors with brain-inspired computing, addressing key hurdles in scalability, energy efficiency, and material design. Ghosh’s contributions lie in conceptualizing how self-powered neuromorphic devices—capable of mimicking neural processing without external power—can revolutionize AI applications in edge computing, robotics, and healthcare. By mapping the intersection of triboelectric nanogenerators, memristors, and synaptic transistors, he provides a roadmap for sustainable, low-latency intelligent systems. His work has garnered attention for its forward-looking synthesis of challenges and opportunities, positioning him as a thought leader in emerging smart technologies. Ghosh’s research not only advances fundamental understanding but also inspires practical pathways toward autonomous, brain-like hardware, making his insights invaluable for students and researchers exploring the future of AI and energy-autonomous electronics.