Paul Murray

PhD Graduate Student, 2014-2016
Computer Science Department, Electronic Visualization Laboratory (EVL)
pmurra5@uic.edu

Bibliography

Camci, A., Murray, P., Forbes, A.G., A Web-based System for Designing Interactive Virtual Soundscapes, International Computer Music Conference 2016 (ICMC 2016), Utrecht, The Netherlands, September 12, 2016

Balogh, B., Camci, A., Murray, P., Forbes, A.G., Spectral Landscapes: Visualizing Electromagnetic Interactions, IEEE Computer Graphics and Applications, September 1, 2016

Camci, A., Murray, P., Forbes, A.G., Designing and Controlling Virtual Sonic Environments Using a Browser-based 3DUI, Proceedings of the 3DUI 2016 IEEE Symposium on 3D User Interfaces, Greenville, SC, March 19, 2016

Forbes, A.G., Burbano, A., Murray, P., Legrady, G., Imagining Macondo: Interacting with GarcĂ­a Marquez’s Literary Landscape, IEEE Computer Graphics and Applications, vol 355, pp. 6-13, Bruce Campbell, Francesca Samsel, September 30, 2015

Etemadpour, R., Murray, P., Bomhoff, M., Lyons, E., Forbes, A. G., Designing and Evaluating Scientific Workflows for Big Data Interactions, In Proceedings of the I1st International Symposium on Big Data Visual Analytics (BDVA'15), Hobart, Australia, September 22, 2015

Dang, T., Murray, P., Forbes, A., PathwayMatrix: Visualizing Binary Relationships between Proteins in Biological Pathways, Proceedings of the 5th Symposium on Biological Data Visualization, BioVis 2015, Dublin, Ireland, July 10, 2015

Murray, P., Forbes, A. G., StretchPlot: Interactive Visualization of Multi-Dimensional Trajectory Data, Proceedings of IEEE Visualization (VIS) 2014, Paris, France, November 11, 2014

Murray, P., Forbes, A. G., Interactively Exploring Geotemporal Relationships in Demographic Data via Stretch Projections, Proceedings of the 2nd ACM SIGSPATIAL Workshop on Map Interaction (MapInteract), Dallas, TX, November 1, 2014

Etemadpour, R., Murray, P., Forbes, A. G., Evaluating density-based motion for Big Data visual analytics, Proceedings of the IEEE Conference on Big Data, Washington, DC, October 1, 2014