AREAS OF INTEREST
Computer Vision: tracking; geometric partial differential equations; segmentation; graph cuts; medical applications; learning.
Geometric Algorithms: computational algebraic topology; combinatorial manifold reconstruction.

BRIEF BIO (Complete Vita)
Professor Freedman is an associate professor in RPI's computer science department, where he has been since 2000. He received his PhD from Harvard University in 2000, his AM from Harvard University in 1996, and his AB (Magna Cum Laude, Phi Beta Kappa, Sigma Xi) from Princeton University in 1993.

His general research interests are in Computer Vision and Geometric Algorithms. Within the field of Computer Vision, he is interested in the use of mathematical techniques such as geometric partial differential equations and combinatorial optimization, for the formulation of algorithms for tracking and segmentation. These algorithms find applications in medicine, such as image-guided radiotherapy, as well as military scenarios. Within the field of Geometric Algorithms, he has focused recently on problems in algebraic topology, particularly notions of measurement and quantification of homology. Older work centered on the reconstruction of manifolds (curves, surfaces, as well as higher dimensional manifolds) from point clouds.

Professor Freedman has received the National Science Foundation Career Award and a Fulbright Fellowship. He is a member of IEEE and Sigma Xi.