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Dr. Ding Ze Yang is a Lecturer at Monash University Malaysia, specializing in Electrical and Robotics Engineering. He obtained his Bachelor's degree and PhD in Engineering from Monash University Malaysia, awarded in 2019 and 2023 respectively. His research focuses on Industrial AI, particularly the development of data-driven soft sensors for process monitoring in industrial systems. He has published in significant journals such as IEEE Transactions on Industrial Informatics and Soft Robotics. Dr. Ding's research interests include deep learning, data-driven modeling, process monitoring, soft sensors, and autonomous systems. His work in Industrial AI enhances manufacturing processes, increases operational efficiency, and reduces costs across industries such as manufacturing, transportation, energy, and logistics. Through his research, he explores various applications such as predictive analytics, process optimization, intelligent control systems, and autonomous robotics, making industrial processes more efficient and sustainable. He is also involved in academia, accepting PhD students and supervising projects, and is committed to contributing to sustainable development goals through his academic qualifications and research activities.
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