The Geometric Computation Group, headed by Professor Leonidas Guibas, addresses a variety of algorithmic problems in modeling physical objects and phenomena, and studies computation, communication, and sensing as applied to the physical world. Current foci of interest include the analysis of shape or image collections, geometric modeling with point cloud data, deep architectures for geometric data, 3D reconstrution, deformations and contacts, sensor networks for lightweight distributed estimation/reasoning, the analysis of mobility data, and the modeling the shape and motion biological macromolecules and other biological structures. More theoretical work is aimed at investigating fundamental computational issues and limits in geometric computing and modeling, including the handling of uncertainty.

The group gratefully acknolwdges the support of the Computer Forum for its activities.

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