Xiaona Du

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About

Xiaona Du is a pioneering researcher at the forefront of neuromorphic computing and intelligent sensory systems. Her work centers on developing in-sensor computing paradigms that integrate visual and tactile perception, aiming to create crossmodal artificial systems that emulate human sensory processing. Du's major contribution lies in the design of mechano-optical artificial synapses, which enable simultaneous processing of mechanical and optical stimuli within a single device—a critical step toward low-power, rapid signal processing for humanoid robotics. Her most-cited paper, "In‐Sensor Computing with Visual‐Tactile Perception Enabled by Mechano‐Optical Artificial Synapse" (2025), has already garnered 60 citations, reflecting its immediate impact on the field. This work addresses the long-standing challenge of constructing efficient crossmodal systems that mimic human recognition capabilities. Du's innovative approach holds transformative potential for next-generation robotics, prosthetics, and smart sensors, positioning her as a rising leader in bio-inspired computing. Her research not only advances fundamental understanding of artificial synapses but also paves the way for practical applications in intelligent, adaptive machines.