Sirui Li

Sirui Li is a research associate at the ARC Training Centre for Transforming Maintenance through Data Science, University of Western Australia, and serves as a part-time lecturer. She holds a PhD in Artificial Intelligence from Murdoch University and Master's/Bachelor's degrees in Computer Science from the Australian National University.

Her educational background:

• PhD in Artificial Intelligence, Murdoch University
• Master of Computing, Australian National University
• Bachelor of Advanced Computing, Australian National University

Dr. Li's research centers on Artificial Intelligence and Machine Learning, specializing in deep learning for knowledge graphs with applications in industrial decision-making systems. Her work bridges natural language processing, knowledge representation, and data science, contributing to UN Sustainable Development Goals through AI-driven innovation in maintenance and infrastructure.

Recent publications (2023-2025) reveal a cohesive research trajectory leveraging large language models and temporal knowledge graphs for document annotation, question answering, and failure mode analysis. These studies demonstrate cross-disciplinary integration of machine learning with real-world industrial maintenance challenges.

Her recognition includes:

• Best Demo Award (2024)

Dr. Li actively contributes to the ARC Training Centre for Transforming Maintenance through Data Science, a national research hub focused on revolutionizing industrial maintenance via data science. Her collaborative work emphasizes translating AI research into practical industry solutions, particularly in predictive maintenance and knowledge-driven decision systems.