This $813,382 project grant, awarded by the National Science Foundation (NSF) under the STEM Education (CFDA 47.076) program, aims to improve the theoretical artificial intelligence (AI) infrastructure at Tennessee State University (TSU) for addressing important data science challenges. The project seeks to advance scientific knowledge in AI theory and its practical applications in cybersecurity, bioinformatics, and agriculture. It also aims to enhance interdisciplinary collaboration, promote broader STEM participation, and strengthen research competitiveness at TSU. The research will develop mathematical theory and practical algorithms for accurate and robust machine learning that can be applied to privacy-preserving AI, protein structure modeling with enhanced cryo-electron microscopy imaging, and optimal feature selection for precision agriculture. The project implements a coherent AI curriculum across three TSU colleges and includes developing educational materials, organizing professional development activities, providing Ph.D. student mentoring, and procuring research equipment.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $380.9k | 7/14/25 | ||
| Not listed | $432.4k | 4/17/24 |