Staff Profile

I am a Professor of Visualisation/Data Science at Newcastle University. My area of research helps visualisation and visual analytics systems scale to the age of data science. From this perspective, I investigate important research problems in data science and AI, graph drawing, social and complex network analysis, and HCI often in interdisciplinary settings. I investigate all parts of the data-to-human pipeline from the visualisation algorithms to display abstract data to the perceptual evaluation of such interfaces with humans, primarily focusing on visual analytics for machine learning and network visualisation.

• Articles

• Book Chapter

  • Gravenor M, Dawson M, Bennett E, Thorpe B, White C, Rahat A, Archambault D, Picco N, Powathil G, Lucini B. Real-time epidemiological modelling during the COVID-19 emergency in Wales. In: More UK Success Stories in Industrial Mathematics. 2023. In Press.

• Conference Proceedings (inc. Abstracts)

  • Filipov V, Ceneda D, Archambault D, Arleo A. TimeLighting: Guidance-enhanced Exploration of 2D Projections of Temporal Graphs. In: The 31st International Symposium on Graph Drawing and Network Visualization (GD '23). 2023, Isola delle Femmine (Palermo), Italy: Springer Cham. In Press.
  • Rahat, A, White, C, Picco, N, Powathil, G, Archambault, D,Lucini,B,Gravenor, M. Optimisation and Visualisation for Medium Term Projections in Response to COVID-19. In: IEEE VIS Workshop on Visualization for Pandemic and Emergency Responses 2023 (Vis4PandEmRes). 2023. In Preparation.
  • Filipov, V,Arleo, A,von Landesberger,T,Archambault,D. Back to the Graphs: A Collection of Datasets and Quality Criteria for Temporal Networks Layout and Visualization. In: IEEE VIS Posters. 2023. In Preparation.

• Editorial