Role: Professor in Data Science, Scalable Group Co-Lead
Research Group: Scalable Computing
Email: daniel.archambault@newcastle.ac.uk
Daniel is a Professor of Visualization/Data Science. His research helps visualisation and visual analytics systems scale to the age of data science.
I am a Professor of Visualisation/Data Science at Newcastle University. My 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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Velitchko Filipov, Davide Ceneda, Daniel Archambault, and Alessio Arleo. TimeLighting: Guided Exploration of 2D Temporal Network Projections. IEEE Transactions on Visualization and Computer Graphics (TVCG), 2024.
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Daniel Archambault, Giuseppe Liotta, Martin Nöllenburg, Tommaso Piselli, Alessandra Tappini and Markus Wallinger (alphabetical order listing of authors). Bundling-Aware Graph Drawing. Graph Drawing
and Network Visualization (GD ’24), 2024. https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GD.2024.15 -
Vago, B., Archambault, D. and Arleo, A. (2024), DynTrix: A Hybrid Representation for Dynamic Graphs. Computer Graphics Forum (EuroVis ’24), 43: e15076. https://doi.org/10.1111/cgf.15076 https://diglib.eg.org/handle/10.1111/cgf15076.
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Rottmann, P., Rodgers, P., Yan, X., Archambault, D., Wang, B. and Haunert, J.-H. (2024), Generating Euler Diagrams Through Combinatorial Optimization. Computer Graphics Forum, 43: e15089. https://doi.org/10.1111/cgf.15089 https://diglib.eg.org/handle/10.1111/cgf15089.
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Z. Huang, D. Archambault, R. Borgo, and A. Kerren (2024), Matrix Snap&Go: Visualization of Paths on Matrices. Proceedings of EuroVis Short papers https://diglib.eg.org/handle/10.2312/evs20241058.