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Data visualizations are designed to leverage the impressive human visual bandwidth so that users can spot clusters, gaps, trends, outliers in the data within a fraction of a second. Visualizations, combined with interaction and animation techniques, can help experts interpret and explore complex data as well as gain confidence in their algorithmic results. Moreover, visualizations are highly effective tools for communicating with other analysts or stakeholders. Research on visualization involves understanding human perception and vision, visual encodings, design thinking, color choice, data simplification, interaction techniques, and animation techniques and designing the next generation of data analysis and communication tools. We have several current research opportunities available for faculty, research scientists, postdoctoral researchers, and students joining our PhD, master's, and bachelor's programs.
Areas of investigation:
- Perception and cognition
- Data storytelling
- Analytic provenance
- Exploratory data analysis
- Coordinated views and interactions
- Tree/hierarchical data
- Network data
- Multidimensional data
- Geospatial data
- Uncertain, missing, erroneous data
- Temporal event sequences
- User interface design
- Interaction design
- Evaluation methodologies
Specific domains of interest:
- Healthcare diagnostic and treatment decision support, including diabetes, neurology, ophthalmology
- Cybersecurity, including unmanned autonomous system analysis
- Astronomy and physics, including 3D visualization and multidimensional data
- Computer Science, including work in databases, programming languages, and systems
- Digital humanities, including networks of concepts in humanities texts, text and timeline visualizations
- Epidemiology, including the spread of infectious disease
