Events and seminars


Computer Science hosted and organised the 35th International BCS Human-Computer Interaction Conference at Keele University on 11-13 July 2022. The conference theme was "Towards a Human-Centred Digital Society" and the 3-day event comprised a full programme of workshops, doctoral consortium, keynotes, parallel track presentations and an interactions gallery. Computer Science staff and PhD researchers made significant contributions to the programme, presenting and exhibiting HCI research relating to interaction design, e-learning, digital health and digital heritage.


We host regular seminars that are usually open to everyone, including Keele staff and postgraduate, masters and undergraduate students. Our staff and researchers also actively contribute to other seminar series, particularly the Data Science Network seminar series, as well as contributing invited to external seminars.

Past invited talks

  • 13 March 2024: "Tracking Women's Bodies: Gendered Surveillance, Harms, and Digital Justice", Dr Maria Tzanou (University of Sheffield) and Dr Marco Ortolani (Keele University), jointly with the Data Science Seminar.
  • 28 February 2024: "Where next with wearables: An overview, with examples analysing UK Biobank accelerometry data and real-time machine learning on brain data." Prof. Alex Casson, University of Manchester.
  • 7 February 2024: “A new arsenal of artificial intelligence and data science tools will unlock massive energy savings and help UK business achieve net zero”, Prof. Adrian Friday, Lancaster University.
  • 31 January 2024: “Untrustworthy AI and Technology for Re-Empowerment”, Prof. Jeremy Pitt, Imperial College London / jointly with the Data Science Seminar.
  • 22 November 2023: "Rapiscan Systems CVI – a Technology Overview" Dr James Ollier, Rapiscan Systems, UK / jointly with Data Science.
  • 8 November 2023: "The human-centred design of digital platforms and uses of the information that they collect" Prof Ed de Quincey, Keele University
  • 18 October 2023: "Event (Anomaly) Detection in Single-Molecule Resistive Pulse Sensing Data – enhancing experimental capabilities with AI" Prof Tim Albrecht, University of Birmingham / jointly with Data Science.
  • 4 October 2023: "Data Science, Machine Learning and AI Applications in Academia and Industry" Dr Theocharis Kyriacou, Keele University
  • 26 June 2023: “A people-first approach to digital health science” Prof Raymond Bond, Ulster University
  • 21 June 2023: “Mitigating Phishing Email Threats using improved detection and filtering. A model Approach” Prof Sunday Eric Adewumi, Federal University Lokoja
  • 5 June 2023: “The Not-So-Silent AI Revolution: Large Language Models and The Key Ingredients Powering the Rise of Chatbots”, Dr Gabriele Pergola, University of Warwick
  • 19 April 2023: "Some applications of reservoir computing for monitoring built-infrastructure and supporting improved prosthesis control", Dr Charles Day, Keele University
  • 27 February 2023: "Path-complete Lyapunov functions: graph-theory and algebraic geometry for controlling complex systems", Prof Raphael Jungers, UCLouvain
  • 2 February 2023: "Computational problems for matrices, automata and groups", Dr Paul Bell, Keele University
  • 11 May 2022: The Machine Learning Data Center is a Cancer: What is the Cure? Professor Nicholas Lane, University of Cambridge
  • 16 February 2022: Big Data at CERN: How High Energy Physics meets Data Science, Dr Giuseppe Lo Presti, CERN IT Department, Storage Group
  • 24 November 2021: Righting the Wrong – Closing the Gender Gap in Computing, Dr Francis Grundy
  • 10 November 2021: Pedestrian Tracking in Spherical Images and Skeleton-based Action Recognition, Dr Liliana Andriano, University of Southampton
  • 12 May 2021: Using Simple Neural Networks to Classify Archaeological Assemblages, Dr Matt Grove, University of Liverpool
  • 5 May 2021: A Day in the Life of a Data Scientist, Richard Gosling and Robert Bevington, Synectics Solutions