Graham McNeill (Research Fellow)

I am a researcher on the UKRI (EPSRC) funded project "Visualising Contact Networks in Response to COVID-19".

Academic Profile

PhD Computer Science – University of Edinburgh, UK.

MSc Computer Science – University of Edinburgh, UK.

BSc Mathematics – Newcastle University, UK.

Research Profile

My research focuses on data visualisation and human-computer interaction. I am particularly interested in techniques for visualising complex geotemporal data — from developing new approaches and writing software, through to assessing how people interpret visualisations and interact with them.

Publications

Camargo, C.Q., Bright, J., McNeill, G., Raman, S. and Hale, S.A. Estimating traffic disruption patterns with volunteered geographic information. Scientific Reports, 2020.

McNeill, G. and Hale, S.A. Viz-Blocks: building visualisations and documents in the browser. EuroVis, 2019.

McNeill, G., Hale, S.A and Bright, J. Estimating local commuting patterns from geolocated twitter data. European Journal of Data Science, 2017.

McNeill, G. and Hale, S.A. Generating tile maps. EuroVis, 2017.

Hale, S.A., McNeill, G. and Bright, J. Where’d it go? How geographic and force-directed layouts affect network task performance. International EuroVis Workshop on Reproducibility, Verification, and Validation in Visualisation, 2017.

Collomosse, J.P., McNeill, G. and Qian, Y. Storyboard sketches for content based video retrieval. International Conference on Computer Vision (ICCV), 2009.

Collomosse, J. P., McNeill, G. and Watts, L. Free-hand sketch grouping for video retrieval. International Conference on Pattern Recognition (ICPR), 2008.

McNeill, G. and Vijayakumar, S. Linear and nonlinear generative probabilistic class models for shape contours. International conference on Machine learning (ICML), 2007.

McNeill, G. and Vijayakumar, S. Part-based probabilistic point matching using equivalence constraints. Advances in Neural Information Processing Systems (NIPS). 2006.

McNeill, G. and Vijayakumar, S. Hierarchical procrustes matching for shape retrieval. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2006.

McNeill, G. and Vijayakumar, S. Part-based probabilistic point matching. International Conference on Pattern Recognition (ICPR), 2006.

McNeill, G. and Vijayakumar, S. A probabilistic approach to robust shape matching. International Conference on Image Processing (ICCP), 2006.

McNeill, G. and Vijayakumar, S. 2D shape classification and retrieval, International Joint Conference on Artificial Intelligence (IJCAI), 2005.

Contact

Centre for Interdisciplinary Methodologies

University of Warwick

Coventry

CV4 7AL

Email: graham dot mcneill at warwick dot ac dot uk

Twitter: @grahamjmcneill