The next PGR seminar is taking place this Friday 3rd October 11:00-12:00 in JC 1.33A.
Below are the Titles and Abstracts for Sharon and Mirza’s talks – Please do come along if you are able.
Sharon Pisani
Title: Building Sustainable Heritage Virtual Museums for Communities using Sociodata
Abstract: Virtual museums are moving beyond simple digitisation of artefacts to become dynamic platforms for community engagement and sustainable development. This talk introduces the VERA Platform, which combines a flexible Virtual Museum Infrastructure with a new layer of sustainability-oriented contextual data called sociodata. Sociodata links heritage objects to their cultural landscapes, local communities, and relevant Sustainable Development Goals, enabling richer discovery, analysis, and reuse. In this talk, I will outline the platform’s architecture and metadata model. The talk will highlight technical challenges such as interoperability with European data spaces, and supporting interactive storytelling at scale—issues highly relevant to digital infrastructure and data-driven research in the heritage sector.
Bio: Sharon is a PhD researcher examining the role of emergent digital technologies in preserving and engaging with cultural heritage while supporting sustainable development. Her research focuses on digitising cultural landscapes—both natural and cultural heritage—to assess various impacts on heritage and community identities. She explores how digital tools, including 3D scanning, 3D modeling, and mixed reality, can aid in recreating and safeguarding heritage at risk.
Mirza Hossain
Title: Fishing for monosemantic neurons in histopathology foundation models
Abstract: This early-stage study introduces Histoscope, an interactive system for examining sparse autoencoders (SAEs) that are trained on top of the UNI pathology encoder. Vision transformers for histopathology often exhibit superposition, where single neurons respond to multiple distinct tissue patterns, making interpretation difficult. Histoscope provides quantitative metrics and visualisations to assess whether neurons are monosemantic—associated with a single concept—or polysemantic—associated with multiple concepts. The work highlights methods for analysing internal representations of histopathology foundation models and contributes to efforts toward more transparent AI in pathology.
Bio: Mirza Hossain is a second-year PhD candidate in Computer Science at the University of St Andrews. His research focuses on multimodal AI in medical imaging with an emphasis on mechanistic interpretability of large foundation models. He is supervised by Dr. David Harris-Birtill.