Team

Academic Staff

Professor Jonathan C. Roberts

Jonathan C. Roberts is a Professor in the School of Computer Science and Engineering, Bangor University, UK. He is leading the Visualization (VIS) Lab. Jonathan’s principal research interests lie in the field of Information Visualization and Visual Analytics. He is particularly interested in exploratory visualization techniques, the use of “multiple coordinated views”, analysis of Big Data and complex multivariate data, and how different sensory modalities can be used to display and interact with information (e.g., tangible, touch and interactive data visualization). He collaborates with researchers from several domains including: language interpreters, climate scientists, social scientists, ocean scientists, and heritage and archaeologists

Dr Panagiotis (Panos) Ritsos

Panos is a Senior Lecturer in Visualization, at the School of Computer Science and Engineering, Bangor University, UK, and leads the XReality, Visualization and Analytics (XRVA) Lab. His research interests lie in the domain of human-computer interaction, and include mixed and virtual reality, information visualization and visual analytics. He is particularly interested in potential synergies between these fields within different flavours of human-data interaction, such as beyond-the-desktop visualization, and ubiquitous, situated and immersive analytics. He is a member of the IEEE, the IEEE Computer Society, the IEEE Visualization and Graphics Technical Committee (VGTC), and the ACM. You can find more about Panos at my personal page.

Dr Peter Butcher

Peter is a Lecturer in Human-Computer Interaction, at the School of Computer Science and Engineering, Bangor University, UK. He is a memebr of the XReality, Visualization and Analytics (XRVA) Lab, working at the intersection of human-computer interaction, information visualisation, and immersive analytics. Peter’s research focuses on leveraging Web technologies to support the next generation of interactive, collaborative, and cross-device visual analytics systems. He is a member of the ACM and the BCS. You can find more about Peter on his personal website.

Research Students

Sarah Hartill

Sarah is currently a PhD student in the School of Computer Science and Engineering at Bangor University, UK. She gained her first degree in Visual Art and worked as a graphic designer for many years, after which she ran a small hospitality business. After developing an interest in design for the web she crossed disciplines to STEM via an MSc in Computing. Her research focuses on how medical education and training may be supported by interactive visualization in 3D and augmented reality using collaborative web-based solutions. Her work is supported by the AIMLAC programme, funded by UKRI, funded by UKRI.

Shannon Jones

Shannon is a Ph.D. student in the School of Computer Science and Engineering, Bangor University, UK. Her research spans sport science, human–computer interaction, visualisation, and artificial intelligence. She is particularly interested in AI-driven immersive and interactive visualisations, with a focus on sports applications that leverage augmented and virtual reality to enhance user experiences and interactions. Her work is supported by the AIMLAC programme, funded by UKRI. More info

Rhiannon Owen

Rhiannon is a PhD candidate in the School of Computer Science and Engineering, Bangor University, UK, researching storytelling through data visualisation, with a particular focus on healthcare visualisation. Her work is supported by the AIMLAC programme, funded by UKRI. More info.

Iwan Pritchard

Iwan is currently a PhD student at the School of Computer Science and Engineering, Bangor University, UK specialising in data visualisation. He has a background in psychology and cognitive neuroscience where he conducted research in the fields of visual perception, functional magnetic resonance imaging (fMRI), and visual attention. His current field of research pertains to explanatory visualisation and how AI can be used to enhance and extend its benefits and effects. His work is supported by the AIMLAC programme, funded by UKRI. More info.

Dan Farmer

Dan is a PhD student in Artificial Intelligence and Visualization, at the School of Computer Science and Engineering, Bangor University, UK. His project is focused on using chaos theory to enhance the performance of LSTM models. He is particularly interested in the intersection of machine learning, data visualization, and complex systems. His work is supported by the AIMLAC programme, funded by UKRI. More info