Gordon Kindlmann
About
My research straddles (1) computation of imaging-based science and (2) fundamentals of data visualization. (1) Science pairs measurement tools that produce experimental data with computational tools to process the data. Advances in scanned imaging modalities (CT, MRI, microscopy, etc) are constantly increasing in speed, resolution, and sensitivity. Research in collaboration with physical and biomedical researchers — who acquire image data to answer scientific questions — can advance how this data may be visually and quantitatively analyzed. (2) It is an exciting time to try to develop the theoretical underpinnings of data visualization. As the discipline matures, we can develop increasingly detailed theoretical accounts of how effective data visualizations are designed, implemented, and perceived. Stretching visualization to new and fast-changing applications (particularly machine learning), however, challenges the coherence of vis theory.
Research Performance Summary
First Recorded Paper
Implementing a collaboratory for microscopic digital anatomy
Year: 1996
Citations: 47
Venue: The International Journal of Supercomputer Applications and High Performance
Latest Recorded Paper
Designing for Disclosure in Data Visualizations
Year: 2025
Citations: 0
Venue: IEEE Transactions on Visualization and Computer Graphics
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.