Xinyue Lai

Papers

Total Citations

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About

Dr. Xinyue Lai is a rising leader in sustainable engineering, whose work tackles one of the most pressing challenges in the circular economy: the efficient recycling of waste electrical and electronic equipment (WEEE). Her primary research focuses on intelligent sorting systems, combining computer vision with material classification to recover valuable resources from complex e-waste streams. In her most-cited work, “RGB-X Classification for Electronics Sorting” (2022, 5 citations), Dr. Lai introduces an innovative approach that integrates standard RGB imaging with additional spectral data to distinguish between different materials and components. This method directly addresses the limitations of conventional shredding and sorting processes, which often fail to preserve high-purity recyclates. By enabling more precise disassembly and recovery, her contributions help reduce reliance on carbon-intensive mining and support a transition to renewable material supply chains. Though early in her career, Dr. Lai’s targeted, high-impact research is already shaping next-generation recycling technologies, offering a practical pathway toward a more sustainable, closed-loop global economy.