Xin Chang

Papers

Total Citations

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About

Xin Chang is a researcher at the forefront of embedded systems and intelligent data acquisition, with a particular focus on revolutionizing traditional culinary processes through technology. Their most cited work, "Intelligence data acquisition based on embedded system in Chinese cuisine cooker (CCICR V1.0)" (2024), addresses the formidable challenge of automating the intricate and diverse Chinese cooking process. By developing a versatile, highly reliable, and user-friendly intelligent data recorder, Chang has made a significant contribution to bridging the gap between complex culinary traditions and modern automation. This work, which has already garnered 3 citations in a short time, showcases their ability to tackle real-world problems with innovative embedded system solutions. Chang's research not only advances the field of intelligent cooking but also demonstrates the broader potential of embedded systems in data-intensive applications. Their achievements highlight a promising trajectory in applying technology to enhance efficiency and precision in traditional practices, making their work highly relevant for students and researchers interested in the intersection of embedded systems, automation, and cultural heritage.