This $145,052 Project Grant was awarded on May 1, 2024 by the National Science Foundation's (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program. The grant supports a collaborative research project between The Ohio State University (OSU) and unspecified partners aimed at developing mathematical innovations for improved spatiotemporal data processing, with applications for national security. The key objectives are to: (1) develop theory and algorithms for transfer learning and neural networks; (2) design optimal line packings for sparse signal processing; and (3) construct optimal subspace packings for robust dataset assembly. The project will contribute to advancing the mathematics of machine sensing and learning, with potential benefits for rapid and accurate threat detection and classification. No sub-awards are planned for this grant.
Generated 1/28/25, 10:02 AM