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Ashley Williamson

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Senior Lecturer in Computer Science (Data Science)

I am a Senior Lecturer in Computer Science (Data Science) in the Faculty of Technology, specialising in data science, machine learning, and computer vision. Previously I have held the role of Programme Leader for MSc Data Science and MSc Applied Data Science.

Prior to joining the University, I worked at other higher education institutions as a lecturer, research fellow, and research assistant in the fields of computer vision and natural language processing including co-writing, designing, and conducting successful research projects for a variety of organisations such as the Home Office, SBRI, DASA, and Samsung.

I have a passion for ensuring up-to-date teaching curricula, utilising a skills-focused approach with an emphasis on employability and graduate prospects.

Teaching and supervision

Undergraduate (BSc):

  • CET262 - Virtualisation and Cloud Infrastructure (Module Leader)
  • CET300 – Computing Project (Supervisor)


Postgraduate (MSc):

  • CETM47 – Machine Learning and Data Analytics (Module Leader)
  • CETM50 – Technology Management For Organisations (Module Leader)
  • PROMO2 – Computing Master's Project (Supervisor)
  • PROM07 - Placement (Internal Academic Supervisor)

In addition, I have previously served as module leader for the following:
  • CET304 – Advanced Computer Forensics
    • CETM23 – Big Data In Organisations – Sunderland Online
    • CETM26 – Machine Learning And Data Mining – Sunderland Online


As a Senior Lecturer in Computer Science (Data Science), my research is centered on developing practical solutions to real-world problems. My areas of focus include machine learning, computer vision (weapon/threat detection), natural language processing, and reinforcement learning for games.

My approach to research is application-focused, with a strong commitment to improving society through my work. I have previously worked on projects in these areas for organisations such as the Home Office, DASA, SBRI, and Samsung using machine learning, AI, computer vision, and reinforcement learning for dialogue systems (natural language processing).

  • Computer Vision (Object Detection)
  • Natural Language Processing
  • Reinforcement Learning
  • Generative Adversarial Networks
  • Computer Systems Infrastructure (Linux/Cloud/Containerisation/Virtualisation)

Last updated 22 April 2024