Associate Professor Wei Liu received her PhD from the University of Newcastle, Australia, in 2003. Wei is a full-time teaching and research academic in the Department of Computer Science and Software Engineering at the University of Western Australia (UWA). At UWA, Wei leads the Centre for Natural and Technical Language Processing, focusing her research on knowledge discovery from natural language text, generative AI, large language model-based semantic technologies across multimodalities, deep learning methods for knowledge graph construction and analysis, as well as sequential data mining and forecasting.
Wei’s recent work includes training machine learning models by fusing multi-modality heterogeneous data and exploring neural-symbolic computation with human-in-the-loop for symbiotic intelligence. Her industry-related research projects encompass knowledge graph refinement for geological survey reports, technical language processing on maintenance work orders, incident/safety log analysis and visualization, short-term traffic prediction, and clinical data integration and analysis in ophthalmology. Wei leads the research theme on Technical Language Processing at the ARC Industrial Transformation and Training Centre for Transforming Maintenance through Data Science, and the Advanced Data to Knowledge Program for the ARC Industrial Transformation and Training Centre in Critical Minerals for the Future.
In January 2025, Associate Professor Liu was appointed to the inaugural Western Australian Government Artificial Intelligence Advisory Board, which provides expert advice on risk mitigation to support the safe and ethical use of AI in the WA public sector.
