We research automated techniques and computational representations for scientific modeling and data visualization. Collaborative work across different departments leads to richer computer science research and provides a mechanism for evaluating the usefulness and robustness of results.

The lab research is in visual computing, an area of computer science that handles images and 3D models. The lab's research interests go from from visual-system related problems that can be robustly solved through automation, to problems that require human experts in the loop.

The computational models we develop help to make tractable geometric computations that would otherwise be impossible. In the application domains, the immediate impact includes better diagnosis and medical treatment, as well as improved understanding of the underlying phenomena in a wide range of systems, from engines igniting to galaxy formation. Outstanding Research Awards don't hurt either. :-)

Lab members pooled quite a few resources together over the years, from reading lists to group presentations. The Wiki and FAQs are good starting points for junior members of the lab.

Six teaching awards in five years can't be wrong :-) We also help run K-12 workshops and open house events.

The lab expertise spans multiple areas, from visualization to robotics to human computer interaction; while the lab collaborators are leading experts across disciplines, from radiation oncology to turbulent combustion.