Prof. Wei Liu

Associate Professor

University of Western Australia

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.

Speaking at

3:00–4:15pmTue 24 MarPublic-Private RoundtablesUniClub - Roundtable Room 1Open
Roadmap for AI and Quantum

[Roundtable] What Works in AI Delivery? Successes, Failures, & Solutions that Scale

Public-Private RoundtablesUniClub - Roundtable Room 1Open
About this session

AI is already improving productivity, safety and customer outcomes — but results vary widely. Some deployments deliver measurable gains; others stall because the basics aren’t in place: weak data foundations, no clear owner, gaps in governance, security exposure, missing talent, hidden costs — and a failure to treat AI as operational infrastructure, not a plug-in tool.

This roundtable moves beyond “what is AI?” and focuses on what works—and what doesn’t—when organisations deploy AI responsibly at scale. Leaders from banking, mining, healthcare, government and startups will share real examples: what they shipped, what got stuck, what made it succeed, and the lessons learned the hard way.

2026 Speakers

2026 Distinguished Speakers

Prof. Wei Liu

Speaking at

[Roundtable] What Works in AI Delivery? Successes, Failures, & Solutions that Scale