Xiaoxiao Du

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About

Xiaoxiao Du is an emerging researcher specializing in visible light communication (VLC) and sensing technologies, with a particular focus on their applications within Industrial Internet of Things (IIoT) environments. Their work addresses a critical challenge in modern smart manufacturing: enabling simultaneous communication and intelligent sensing of mobile production items such as robots, automated guided vehicles (AGVs), and pedestrians operating within complex industrial settings. Du's most notable contributions center on leveraging deep learning architectures — particularly convolutional neural networks (CNNs) — to enhance the capabilities of visible light-based systems. Their 2023 paper on shadow feature-based sensing using a multi-scale region CNN demonstrates an innovative approach to detecting and identifying production items without relying on traditional radio frequency methods. Complementing this, their work on mobile recognition and positioning across multiple VLC cells showcases practical solutions for real-time localization in dynamic factory environments. With a growing citation record, including 6 citations for their sensing work and 4 for their positioning research, Du is establishing a meaningful presence at the intersection of optical wireless communication and industrial automation — areas of rapidly increasing relevance as smart manufacturing continues to evolve globally.