Over the years, the VACLab has advanced a wide range of research projects exploring different aspects of visual analytics and communication. This page provides an overview of several main themes that motivate much of this research. Clicking on any of the topics will bring you to a list of relevant publications describing the details of past and ongoing research projects for the corresponding theme.
To browse a complete chronological list of the lab’s publications across all topics, please visit the Publications page.
Developing new visual analytics methods aimed at reducing threats to validity that arise from various bias effects during exploratory visual analysis.
Using health data captured from mobile devices, sensors, and patient reports to understand patients beyond the point-of-care.
Visual analytics for pattern discovery from large-scale real-world event sequence datasets, such as electronic health records, to help understand complex systems.
A variety of applied machine learning projects, typically in combination with interactive visual interfaces.
A variety of health- and bio-informatics projects, ranging from usability testing to RNA folding.
Visual analytics techniques and software tools for population health analyses.
Visualization techniques designed to overcome the challenges of multi- or high-dimensional datasets.
An eclectic mix of one-off visualization projects that don’t fit nicely into other categories.
New theoretical models of analytic sensemaking, and new intelligent interaction techniques that help users accomplish sensemaking tasks more effectively.
Scalable and adaptive approaches to non-linear media streaming.
A variety of projects exploring new computer graphics technologies in areas such as virtual reality and high-resolution displays.