The National Science Foundation (NSF) awarded a $305,850 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) program to the University of Houston System. The grant, titled "CAREER: SHAPE ANALYSIS IN SUBMANIFOLD SPACES: NEW DIRECTIONS FOR THEORY AND ALGORITHMS," supports research to advance the analysis and comparison of relaxed shape matching problems, investigate supervised and unsupervised deep learning approaches to improve the efficiency of manifold registration algorithms, and study novel extensions to account for partial or incomplete data and joint shape/topological variations across shapes. The project aims to develop scalable algorithms for morphological analysis and promote these research topics through educational activities targeting undergraduate, graduate, and K-12 students. The award has an ultimate completion date of January 31, 2025.
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