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Alistair BaronView profile

Senior Lecturer

• Natural Language Processing
• Cyber Security
• Data Science
• +3 more

Dr Alistair Baron is a Senior Lecturer at Lancaster University's School of Computing and Communications, with dual expertise in Natural Language Processing (NLP) and Cyber Security. He applies computational linguistics to counter online deception, focusing on fake profiles, social engineering, and forensic applications. His work bridges linguistic analysis with security solutions, including multi-lingual text processing, spelling variation normalisation, and crisis management decision-support systems. Ph.D. Computer Science (Lancaster University, UK) B.Sc. (Hons) Computer Science (Lancaster University, UK) Research interests span robust NLP tool development for cyber-security, with emphasis on: Deception detection in digital personas Spelling variation in historical and online texts Machine learning for forensic investigations Semantic tagging using historical thesauri GIS-Integrated textual analysis Online child protection systems His recent publications demonstrate interdisciplinary focus, combining NLP with security applications (2016-2023). Key projects include insider threat detection, semantic annotation of historical texts, and penetration testing standardisation research. Awards include the Faculty of Science and Technology Research Fellowship and FHEA teaching accreditation.

Michael StewartView profile

Research Fellow

• Information Extraction
• Knowledge Graph Construction
• Deep Learning
• +3 more

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.