Fang‐Ning Yang

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About

Fang‐Ning Yang is a leading researcher in the field of cyber-physical systems (CPS) and industrial automation, with a focused expertise on advancing the core technologies of Industry 4.0. Her major contributions lie in the design and implementation of intelligent, CPS-based operational management platforms that seamlessly integrate data collection, predictive maintenance, and automated control. Yang’s seminal work, “Design and implementation of a CPS‐based predictive maintenance and automated management platform” (2019), has garnered 7 citations, establishing a foundational framework for smart factories. Her earlier 2018 study on a CPS-based automated management platform, with 5 citations, further solidified her role in developing systems that monitor and control industrial processes in real time. By pioneering these platforms, Yang has directly addressed the critical challenge of enabling autonomous, data-driven decision-making in manufacturing environments. Her research is instrumental in transforming traditional factories into agile, self-optimizing systems, making her a key contributor to the practical realization of Industry 4.0’s vision.