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 explores novel geometric representations,
computational modeling, and visual analysis tools that are needed for
the simulation and analysis of complex scientific phenomena. The tools
and collaborations we build help solve practical scientific problems in
disciplines such as biology, orthopaedics, epidemiology, natural
language processing and mechanical engineering.
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 machine
translation to galaxy formation. Best-Paper 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 run K-12 workshops through Pitt's Technology Leadership
Initiative and the Pitt Women in Computer Science organization.
The lab expertise spans multiple areas, from visualization
to robotics to human computer interaction; while the lab collaborators
are leading experts across disciplines, from astronomy to epidemiology
to turbulent combustion.
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