Keenan Crane is an Assistant Professor of Computer Science and Robotics at Carnegie Mellon University; he received his BS from UIUC, was a Google PhD Fellow at Caltech, an NSF Mathematical Sciences Postdoctoral Fellow at Columbia University, and is a Packard Fellow at CMU. His work applies insights from differential geometry to build fundamental representations and algorithms for geometry processing. Recent topics include: intrinsic triangulations of surface meshes, Monte Carlo methods for geometry processing, 2D and 3D cross fields for quadrilateral and hexahedral meshing, surface parameterization, fabrication from flat materials, PDEs on surfaces, developable surface modeling, conformal geometry, parallel transport, geodesic distance, and shape analysis.
Technical Papers