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About

Kan‐Hao Xue is a leading researcher in the fields of neuromorphic computing, advanced memory technologies, and energy-efficient electronic devices. His work addresses critical bottlenecks in conventional von Neumann architectures by exploring novel device concepts that integrate processing and memory functions. Xue’s major contributions include co-authoring the influential “2022 roadmap on neuromorphic devices and applications research in China,” which has garnered 13 citations and serves as a key reference for the national research agenda in this rapidly evolving field. This roadmap outlines strategies to overcome the speed and energy-efficiency limitations of traditional computing systems, highlighting Xue’s role in shaping China’s neuromorphic research landscape. His research has significant implications for next-generation artificial intelligence hardware, where low-power, high-speed data processing is paramount. Xue’s work is characterized by a focus on practical device implementation and system-level integration, making him a notable figure in the push toward brain-inspired computing architectures. His achievements underscore a commitment to advancing the frontiers of electronics, with potential impacts spanning from edge computing to large-scale neural networks.