This federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program provides $250,000 to Colorado State University (CSU) to conduct research on optimizing flag manifolds and geometrically constrained neural networks for threat detection. The research aims to develop new algorithms and capabilities that can aid in the detection of potential threats in data, integrating areas such as geometry, topology, optimization, machine learning, and high-performance computing. The project, spanning September 2024 to August 2027, will train graduate students in applying theoretical mathematics to address this national need. No sub-awards are planned under this grant.
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