Dr Hazrat Ali is organising a special session at the International Conference on AI in Healthcare, which takes place at Imperial College London on 26-29 August 2026. More details about the session can be found at https://aiih.cc/special-session-multimodal-generative-ai-in-healthcare/ .
The PHAWM project, with Stirling’s contribution coming from Leonardo Bezerra, Sandy Brownlee, and Penny Johnston, reached a major milestone this week with the launch of the PHAWM workbench and methology for paticipatory auditing of AI systems. Penny in particular has put in a huge amount of work to the workbench implementation. This has been broadly
Congratulations to Dr Burcu Can who has secured two research grants! KTP: This two-year Knowledge Transfer Partnership between Predyktable Ltd and the University of Stirling will develop an AI-powered forensic tool to forecast economic losses in commercical litigation. The project aims to reduce the time and cost of traditional forensic accounting, addressing concerns around transparency,
Congratulations to Dr Jason Adair, who is co-lead on a £1.5M grant just awarded entitled “Building effective digital post-hospital discharge and reablement services for older adults in social care: a mixed methods process evaluation using the NASSS framework”. Also this month, members of the DAIS group attended the UKCI conference, hosted by Edinburgh Napier University,
Prof Gabriela Ochoa served as editor-in-chief at this year’s GECCO conference in Malaga, the leading international conference in evolutionary computation. She also co-chaired workshops and tutorials on the topic of landscape analysis. Dr Sandy Brownlee co-chaired the Real World Applications track, as well as the Student and EC & Explainable AI workshops.
Prof Gabriela Ochoa has been awarded a Leverhulme grant worth over £400k in collaboration with Prof Jonathan Fieldsend, University of Exeter for a 3 year study: Under-land: Understanding and Visualising Complex Optimisation. This project aims to develop visualisation and analysis methods to illuminate the interaction between optimisation problems and the algorithms employed to solve them.
This month we welcome Piotr Lipinski and his PhD student Klaudia Balcer, from the University of Wroclaw. They are working with Sandy Brownlee and Giancarlo Catalano on explainability techniques in machine learning and optimisation.