Jean Gallier
Professor, CIS
Jean is interested in the application of geometric methods to problems in engineering. In particular, he is investigating methods for smooth surface reconstruction from 3D meshes. He is also interested in methods for statistical analysis in medical imaging, and focuses on diffusion tensor imaging. In his work to resolve the difficulties of the non-Euclidean domain of these images, Jean applies Riemannian geometry as a framework for problem solving.
Publications
Coordinated path planning for fixed-wing UAS conducting persistent surveillance missions
Publisher IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR)
Obstacle avoidance and path intersection validation for UAS: A B-spline approach
Publisher International Conference on Unmanned Aircraft Systems (ICUAS)
Publisher IEEE International Conference on Robotics and Automation (ICRA)
News
Faculty News
Jean Gallier and Jocelyn Quaintance’s Notes on Math for Machine Learning Break the (Penn) Web
August 1, 2019