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Fergus Tomas Toolan

Professor

Background and experience

I am a Professor in the Department of Investigation and Prosecution. My teaching focuses on digital forensics and using open-source tools for digital forensics. My research interests include file system forensics, the evaluation of digital forensic tools and the application of Information Retrieval and Machine Learning to Digital Forensics. I hold a master's and PhD in Computer Science and a master's in Training and Education. 

Areas of responsibility

  • File System Forensics
  • Forensic Tool Development
  • Validation of Forensic Tools
  • Online Learning

Teaching

  • Forensic Tool Development
  • Linux Artefacts
  • Linux as an Investigative Platform
  • Windows Forensics

Research

  • File System Forensics
  • Validation of Forensic Tools
  • Teaching & Learning
  • Machine Learning

Publications

  • Bergum, Ulf; Toolan, Fergus; Stephens, Paul & Humphries, Georgina Louise (2025). Live data forensic tool testbed: Proof of concept. Forensic Science International: Digital Investigation. ISSN 2666-2825. 54, p. 301973–301973. doi: 10.1016/j.fsidi.2025.301973. Full text in Research Archive
  • Toolan, Fergus & Humphries, Georgina Louise (2025). Data hiding in the XFS file system. Forensic Science International: Digital Investigation. ISSN 2666-2825. 52. doi: 10.1016/j.fsidi.2025.301884. Full text in Research Archive
  • Toolan, Fergus & Humphries, Georgina Louise (2025). Data hiding in symbolic link slack space. Forensic Science International: Digital Investigation. ISSN 2666-2825. 53. doi: 10.1016/j.fsidi.2025.301919. Full text in Research Archive
  • Stoykova, Radina; Nordvik, Rune; Ahmed, Munnazzar; Franke, Katrin; Axelsson, Stefan & Toolan, Fergus (2022). Legal and technical questions of file system reverse engineering. Computer Law and Security Review. ISSN 0267-3649. 46. doi: 10.1016/j.clsr.2022.105725. Full text in Research Archive
  • Nordvik, Rune; Stoykova, Radina Raychova; Franke, Katrin; Axelsson, Stefan & Toolan, Fergus (2021). Reliability validation for file system interpretation. Forensic Science International: Digital Investigation. ISSN 2666-2825. 37, p. 1–14. doi: 10.1016/j.fsidi.2021.301174. Full text in Research Archive
  • Porter, Kyle; Nordvik, Rune; Toolan, Fergus & Axelsson, Stefan (2021). Timestamp prefix carving for filesystem metadata extraction. Forensic Science International: Digital Investigation. ISSN 2666-2825. 38, p. 1–13. doi: 10.1016/j.fsidi.2021.301266. Full text in Research Archive
  • Nordvik, Rune; Porter, Kyle; Toolan, Fergus; Axelsson, Stefan & Franke, Katrin (2020). Generic Metadata Time Carving. Forensic Science International: Digital Investigation. ISSN 2666-2825. 33. doi: 10.1016/j.fsidi.2020.301005. Full text in Research Archive
  • Nordvik, Rune; Georges, Henry; Toolan, Fergus & Axelsson, Stefan (2019). Reverse engineering of ReFS. Digital Investigation. The International Journal of Digital Forensics and Incident Response. ISSN 1742-2876. 30(September), p. 127–147. doi: 10.1016/j.diin.2019.07.004. Full text in Research Archive
  • Nordvik, Rune; Toolan, Fergus & Axelsson, Stefan (2019). Using the object ID index as an investigative approach for NTFS file systems. Digital Investigation. The International Journal of Digital Forensics and Incident Response. ISSN 1742-2876. 28, p. 30–39. doi: 10.1016/j.diin.2019.01.013. Full text in Research Archive
  • Hansen, Kurt-Helge & Toolan, Fergus (2017). Decoding the APFS file system. Digital Investigation. The International Journal of Digital Forensics and Incident Response. ISSN 1742-2876. 22, p. 107–132. doi: 10.1016/j.diin.2017.07.003. Full text in Research Archive

View all works in NVA

  • Sunde, Nina; Gundhus, Helene Ingebrigtsen; Dahl, Johanne Yttri; Toolan, Fergus & Dror, Itiel E. (2022). Constructing digital evidence: A study on how cognitive and human factors affect digital evidence. Universitetet i Oslo. Full text in Research Archive

View all works in NVA

Published Feb. 21, 2025 12:26 PM - Last modified June 12, 2026 9:59 AM