About Me

I am a Lecturer (~Assistant Professor) at the School of Computer Science and Informatics at Cardiff University. My work focuses on the development of novel approaches towards automated cyber defence. In particular, my interest is on how to apply text mining and machine learning techniques in defence methodologies.

Previously, I was a Research Associate at Cardiff University working for the Discribe Hub and Data Innovation Accelerator projects.

🚨 Looking for PhD Students! - I am interested in supervising funded or self-funded PhD students in projects involving Large Language Model (LLM) security. Please check the relevant page in FindAPhD for more information and do not hesitate to contact me if you have any questions.

Interests
  • Natural Language Processing/Text Mining/Information Retrieval
  • Machine Learning/Adversarial Machine Learning
  • Intrusion Detection
Education

  • PhD in Computer Science, 2017

    Cardiff University

  • BSc Information Systems, 2013

    Cardiff University

News

See all
MDPI Informatics
New Publication
MDPI Informatics Jun 2025
Main author of our paper The Emotional Landscape of Technological Innovation - a Case Study of ChatGPT’s Launch published in MDPI Informatics journal.
IEEE Access
New Publication
IEEE Access Jun 2025
Co-author of our paper Interpretable Ordinal-aware with Contrastive-enhanced Anomaly Severity Detection on UAV Flight Log Messages published in IEEE Access.
Cardiff University
Enriching Student Life Awards 2025
Cardiff University Mar 2025
Nominated for Most Outstanding Use of the Learning Environment and Most Outstanding Learning Experience.

Recent Publications

Lowri Williams, Pete Burnap
Jun 22, 2025
The Emotional Landscape of Technological Innovation: a Case Study of ChatGPT's Launch

This paper overcomes this limitation by presenting a comprehensive analysis for investigating the emotional landscape surrounding technology adoption by using the launch of ChatGPT as a case study.

Cite DOI
Swardiantara Silalahi, Tohari Ahmad, Hudan Studiawan, Eirini Anthi, Lowri Williams
Jun 19, 2025
Interpretable Ordinal-aware with Contrastive-enhanced Anomaly Severity Detection on UAV Flight Log Messages

This study proposes DroneLog, an interpretable framework for detecting anomalies and the severity levels on drone flight logs, using a multitask learning approach in a unified pipeline. Complying with the multitask learning nature, two target label representations are designed to leverage the shared low-level common features of the input messages over various severity levels.

Cite DOI
Lowri Williams, Hamza Khan, Pete Burnap
Jan 17, 2025
The Evolution of Digital Security by Design Using Temporal Network Analysis

This paper presents a data-driven analysis of the evolving landscape of DSbD from 2019 to 2024, gathering insights from textual documents referencing DSbD. Using a combination of text mining techniques and network analysis, a large corpus of textual documents was examined to identify key entities, including organisations, individuals, and the relationships between them.

Cite DOI
See all publications

Contact

  • WilliamsL10@cardiff.ac.uk
  • School of Computer Science and Informatics, Cardiff University, Abacws, Senghennydd Road, Cardiff, CF24 4AG,