Michael Stewart

Dr. Michael Stewart is a postdoctoral research fellow at The University of Western Australia (UWA), affiliated with the School of Physics, Maths and Computing's Computer Science and Software Engineering department. He holds a PhD from UWA (2020) and works on knowledge graph construction, information extraction, and deep learning methods. His research focuses on technical text analysis, including maintenance documents and log data.

Key research areas include entity typing, lexical normalisation, and semantic parsing. He co-leads the UWA Natural and Technical Language Processing Group, co-supervising Honours, Masters, and PhD students. Notable contributions include the MaintIE benchmark, MWO2KG knowledge graph, and tools like Echidna and QuickGraph.

His work contributes to UN Sustainable Development Goals through technical innovation in data-driven decision-making. Awards include the 2019 WAITTA INCITE Award and first prize in the ICDM 2019 Knowledge Graph Contest. Current projects explore deep learning-based methods for knowledge graph construction from short technical texts.