Jing (Roy) Yang

Jing (Roy) Yang is a Postdoctoral Research Fellow at the School of Information Systems, Faculty of Science, Queensland University of Technology (QUT). He holds a PhD from QUT (2023), and MEng and BEng degrees from Sun Yat-sen University. His research focuses on process mining, data quality, and their applications in explainable AI systems. Roy contributes to the Food Agility Cooperative Research Centre and serves as a reviewer for leading conferences like BPM and ECIS.

His work bridges process mining with practical AI, emphasizing organizational models and workforce analytics. Publications span journals like Decision Support Systems and conferences such as BPM and CAiSE. He develops frameworks like OrdinoR for organizational model analysis and explores applications in robotic process automation and agronomy-informed process modeling.

Roy’s academic affiliations include QUT’s Centre for Data Science and the School of Information Systems. His research interests are organized around advancing process mining techniques for real-world challenges in resource allocation, predictive analytics, and organizational knowledge extraction.