Project Grant 2502941
- This $399,977 Project Grant awarded by the National Science Foundation (NSF) through its STEM Education program (CFDA 47.076) supports Alabama State University (ASU) in developing, implementing, and evaluating new artificial intelligence (AI) courses and an AI research laboratory. The key objectives are to: Develop, educate, and evaluate new AI courses that immerse students in current AI methods through hands-on learning; Establish an AI laboratory and involve students and faculty in AI...
- This Project Grant award of $283,089 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) program will support a collaborative effort led by Alabama State University (ASU), in partnership with the Computing Research Association, Morgan State University, and Texas Southern University. The project aims to increase artificial intelligence (AI) education capacity and utilization of the National AI Research Resource (NAIRR) pilot at...
- The National Science Foundation (NSF) awarded a $298,652 Project Grant to Alabama State University (ASU) under the STEM Education (formerly Education and Human Resources) federal grant program (CFDA 47.076). The purpose of this 3-year grant, effective August 1, 2023, is to conduct research aimed at developing new integrated artificial intelligence (AI)-based models to automatically detect web application logic vulnerabilities and protect against evolving evasive malware-based cyber attacks....
- This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences Program (CFDA 47.049) provides $1,323,521 to Auburn University and Tuskegee University to conduct collaborative research on building a robust mathematical foundation for artificial intelligence (AI) and integrated data science. The 5-year project, which began on September 1, 2025, will train undergraduate students, graduate students, and postdoctoral researchers to conduct advanced research...
- The National Science Foundation (NSF) awarded a $382,000 Computer and Information Science and Engineering (CISE) program grant (CFDA 47.070) to North Carolina Agricultural and Technical State University (NC A&T) to expand AI research, education, and workforce development capabilities at the institution. The 2-year project, running from October 2024 to September 2026, aims to: Develop robust, explainable, fair, and privacy-preserving AI models for COVID-19 detection and analysis of biomedical...
- The National Science Foundation (NSF) awarded a $174,979 Computer and Information Science and Engineering (CISE) Project Grant to San Jose State University Research Foundation to explore how to improve computer programming education for introductory artificial intelligence (AI) and machine learning (ML). The project will investigate the specific programming concepts students struggle to transfer when moving from imperative, rule-based programming to data-driven AI/ML approaches, and how...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $359,999 to Tuskegee University to develop innovative educational approaches that integrate machine learning, cybersecurity, and artificial intelligence within cyberinfrastructure (CI) frameworks. The goal is to train a more diverse and skilled CI workforce capable of addressing modern cyber threats and leveraging advanced technologies...
- This $281,875 Project Grant award from the National Science Foundation's (NSF) STEM Education program (CFDA 47.076) is funding the establishment of a Machine Learning (ML) Lab at Auburn University Montgomery (AUM). The goal of the project is to enhance the university's artificial intelligence (AI) research infrastructure and educational curriculum development. Specifically, the ML Lab will provide access to high-performance computing resources and customized ML/AI algorithms to significantly...
- The National Science Foundation (NSF) awarded a $600,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of South Carolina. The grant, with a period of performance from October 1, 2024 to September 30, 2027, focuses on enhancing security and mitigating harm in AI-generated vision language models. Key technical objectives include: 1) Developing a prompting framework for detecting harmful content provenance in AI-generated vision...
- This $271,343 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research into developing robust machine learning and inference methods that can withstand data corruption and distribution shifts. The project aims to explore new techniques for structured learning, supervised learning, and reinforcement learning that are resilient to these challenges, with potential applications in healthcare,...
The National Science Foundation (NSF) awarded a $674,160 Project Grant under the Computer and Information Science and Engineering (CISE) program to Alabama State University (ASU) to develop a contrastive learning framework that can identify and mitigate confounding factors in real-world machine learning applications. The 3-year project, with a start date of October 1, 2025, will focus on building models to uncover key confounding factors in textual and non-textual data, enhancing these models through novel contrastive learning techniques, and integrating the insights into practical machine learning-based decision support systems in healthcare and e-commerce. The project aims to improve the robustness and reliability of these systems by addressing the negative impacts of confounding factors. Additionally, the award will support regional research collaboration between ASU and the University of Memphis, AI workforce development through new machine learning and AI courses at ASU, and hands-on student training in large-scale AI and GPU computing.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $674.2k | 8/7/25 |