Staff Profile
Dr Daniel Archambault
Professor of Data Science/Visualisation
- Personal Website: https://research.ncl.ac.uk/research.ncl.ac.uk/nova/
Background
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.
Publications
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Articles
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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.
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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.
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Editorial