I am a PhD student working with Alexander Lex and my research is focused on visualizing multivariate networks. I have published on MVNs in the context of genealogies and on using spanning trees and associating attribute tables as an approach to visualizing general multivariate networks. My current project involves conducting user studies to assess how different MVN visualization techniques are best suited for different network exploration tasks. My Master’s thesis addressed the challenge of visualizing multivariate oceanographic data, which she modeled as trees of currents. I have a master’s degree in software engineering from the Harvard Extension School, as well as a previous life as an oceanographer studying the Arctic Ocean and its effect on our planet.
Carolina Nobre
Carolina Nobre,
PhD Student
Contact
cnobre@sci.utah.edu
SCI Institute,
School of Computing,
University of Utah
72 South Central Campus Drive,
Salt Lake City, Utah 84112
Publications
Peer-reviewed Journal and Conference Publications
reVISit: Supporting Scalable Evaluation of Interactive Visualizations
IEEE Visualization and Visual Analytics (VIS), 2023
Predicting Intent Behind Selections in Scatterplot Visualizations
Information Visualization, 2021
reVISit: Looking Under the Hood of Interactive Visualization Studies
SIGCHI Conference on Human Factors in Computing Systems (CHI), 2021
Evaluating Multivariate Network Visualization Techniques Using a Validated Design and Crowdsourcing Approach
SIGCHI Conference on Human Factors in Computing Systems (CHI), 2020
Origraph: Interactive Network Wrangling
IEEE Conference on Visual Analytics Science and Technology (VAST), 2019
The State of the Art in Visualizing Multivariate Networks
Computer Graphics Forum (EuroVis), 2019
Juniper: A Tree+Table Approach to Multivariate Graph Visualization
IEEE Transactions on Visualization and Computer Graphics (InfoVis), 2019
Lineage: Visualizing Multivariate Clinical Data in Genealogy Graphs
IEEE Transactions on Visualization and Computer Graphics, 2019
OceanPaths: Visualizing Multivariate Oceanography Data
Proceedings of the Eurographics Conference on Visualization (EuroVis ’15) - Short Papers, 2015
Thesis
Visualizing Multivariate Networks
University of Utah, PhD Thesis, May 2020
Selected Posters
Clipped Graphs: A Compact Time-Series Encoding
Proceedings of the IEEE Information Visualization Conference – Posters (InfoVis), 2019
Mure.js: Toward Flexible Authoring and Reshaping of Networks
Proceedings of the IEEE Information Visualization Conference - Posters (InfoVis), 2018
Lineage
Proceedings of the IEEE Information Visualization Conference - Posters (InfoVis), 2017