Yuki Usami
Papers
4
Total Citations
77
H-Index
4
About
Yuki Usami is a pioneering researcher at the forefront of neuromorphic computing and intelligent materials, specializing in the development of physical reservoir computing (RC) systems. Their major contributions center on creating “in-materio intelligence” by exploiting the incidental structures of nanomaterials, such as single-walled carbon nanotube–porphyrin polyoxometalate random networks, to perform hardware-based machine learning without complex electronic circuitry. Usami’s work has demonstrated remarkable impact, with their 2022 paper on this topic garnering 57 citations and being featured as a cover article. They have also advanced haptic and pressure sensing by integrating wireless power transfer with hierarchical CNT-PDMS nanocomposites, enabling remote force measurement—a breakthrough for soft robotics and wearable electronics. Their 2024 study on haptic in-sensor computing devices further showcases their ability to merge sensing and computation in a single material platform. With a growing citation record and a clear trajectory toward energy-efficient, brain-inspired hardware, Usami is shaping the future of intelligent, material-based computing systems.
Research Focus
Key Achievements
Top Papers
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