Dr. Michael Stewart received his PhD from the University of Western Australia in 2020. He currently works as a postdoctoral research fellow at The University of Western Australia supported by the Centre for Transforming Maintenance through Data Science. His research focuses on information extraction and knowledge graph construction from unstructured technical text, entity typing, and lexical normalisation. His work is published in a number of highly regarded venues including Knowledge Representation and Reasoning, Empirical Methods in Natural Language Processing, and the International Conference on Data Mining. In 2019 he was awarded the Research & Innovation Project of the Year - Postgraduate Tertiary Student Award at the 28th WAITTA INCITE Awards, and as part of a team led by Dr Wei Liu he was the first prize winner of the ICDM 2019 Knowledge Graph Contest. He is currently working on deep learning-based methods for constructing knowledge graphs from technical short text. He is also co-supervising several Honours, Masters and PhD students within the UWA Natural and Technical Language Processing Group.