The National Science Foundation (NSF) awarded a $329,183 Project Grant to the College of William & Mary under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant, awarded on October 1, 2023, will fund the development of a framework and methodology to enable researchers and software engineers to better interpret the behavior of AI-powered developer tools that leverage neural language models for source code. The project aims to generate global and local...
This $295,000 Project Grant award, funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to train the future research workforce to develop and use AI-based cloud cybersecurity solutions that are fair, ethical, and unbiased. The key products and services to be delivered under this 3-year award, which begins on August 1, 2024, include: Developing and integrating seven advanced experiential learning modules, referred to...
The National Science Foundation (NSF) awarded a $280,000 Project Grant through its STEM Education (CFDA 47.076) program to develop and evaluate a Comprehensive Personalized Programming Practice Environment (C-3PE) that utilizes artificial intelligence (AI) to enhance computer science education. The collaborative project, led by Carnegie Mellon University in partnership with the University of Pittsburgh, University of Massachusetts, and North Carolina State University, aims to provide...
This $150,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to North Carolina Agricultural and Technical State University aims to train a diverse research workforce to develop and use fair, ethical, and unbiased AI-based cybersecurity solutions for cloud computing infrastructure. The project will develop and integrate seven advanced experiential learning modules, referred to as AI4SecureCI, into...
The National Science Foundation (NSF) awarded a $600,000 Project Grant under the Computer and Information Science and Engineering (CISE) program to New York University (NYU) to investigate the risks of AI-generated code in the software supply chain. The 3-year project, which began on June 1, 2024, aims to: (i) develop techniques to distinguish human-written code from AI-generated code, (ii) measure the prevalence and security implications of AI-generated code in open-source software, and (iii)...
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 Project Grant award from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) provides $262,900 to Portland State University over the period of October 1, 2023 to September 30, 2025. The goal of this project is to redesign security education curricula to better integrate and leverage the use of large language models (LLMs) in addressing modern cybersecurity challenges. The key objectives are to create new educational content and lab...
The National Science Foundation (NSF) awarded a $160,000 Project Grant to California State University San Marcos Corp under the NSF's STEM Education (formerly Education and Human Resources) program (CFDA 47.076) on July 15, 2023. This 3-year project aims to develop cybersecurity educational modules that can be integrated into existing computer science courses, promoting a "cybersecurity mindset" among students. The project will create a transferable laboratory framework with hands-on...
The National Science Foundation (NSF) awarded a $459,033 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Tennessee Technological University (Tennessee Tech). The 3-year grant will fund a Research Experiences for Undergraduates (REU) site focused on cybersecurity solutions leveraging artificial intelligence for smart systems. The REU program will provide training to 30 undergraduate students in research areas including cryptography, deep learning,...
This $300,000 federal Project Grant award from the National Science Foundation's (NSF) STEM Education (CFDA 47.076) program aims to develop a course that teaches computer science students how to work with and comprehend large code bases. The project, awarded to the University of California, San Diego (UC San Diego), is designed to address the "academia-industry gap" where new computer science graduates are often underprepared for contributing to large, existing software code bases in...