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About

Dr. Fengling Han is a leading researcher at the intersection of intelligent manufacturing and advanced control systems, whose work is shaping the transition from Industry 4.0 to Industry 5.0. Her most impactful contribution, a comprehensive survey on key enabling technologies for Industry 5.0, has garnered 209 citations, establishing her as a pivotal voice in defining the next industrial paradigm. Beyond this visionary work, Dr. Han is renowned for pioneering robust control strategies for robotic manipulators. She has developed innovative full-order and fractional-order sliding-mode controllers, as detailed in her highly cited papers from 2018 and 2019. These contributions are critical for achieving precise, stable, and continuous control in complex robotic systems, directly addressing practical challenges in automation. By combining deep learning with advanced control theory—as demonstrated in her work on deep convolutional neural networks for robotic control—Dr. Han bridges the gap between theoretical algorithms and real-world industrial applications. Her research not only advances the fundamental science of automation but also provides the technological backbone for the human-centric, resilient, and sustainable factories of the future.