Project Grant 2103829
- The University of Utah received a $220,500 Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). This 5-year award, beginning March 1, 2024, supports research to develop scalable security testing techniques for large software systems. The project focuses on advancing "fuzzing" - a predominant software vulnerability detection method - to address the unique challenges posed by software...
- The National Science Foundation (NSF) has awarded a $1,199,875 Project Grant to the University of Utah under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). This award, titled "CICI:TCR:SOFTWARE SUPPLY CHAIN SECURITY IN HIGH-PERFORMANCE COMPUTING: UNDERSTANDING, EVALUATION AND TRANSITION," aims to address software supply chain security risks in high-performance computing (HPC) environments. The key objectives of this 3-year project are...
- This Project Grant from the National Science Foundation Division of Computer and Network Systems, under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), provides $517,545 in funding to the University of Utah from January 1, 2022 to September 30, 2024. The award supports research to advance software vulnerability detection techniques. Specifically, the university researchers will develop new approaches to fuzz testing, a method for identifying software...
- This Project Grant award, titled "CRII: SATC: TOWARDS SUSTAINABLE INTRUSION DETECTION FOR EDGE VIA SPATIAL COLLABORATION AND TEMPORAL KNOWLEDGE RETENTION", is funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The $174,608 award, effective from Jul 1, 2025 to Jun 30, 2027, aims to develop effective, adaptive, and collaborative intrusion detection systems (IDS) specifically designed for edge...
- The University of Utah was awarded a $499,384 project grant from the National Science Foundation to support research titled "AF: SMALL: THE GEOMETRY OF LEARNING ON STRUCTURED DATA OBJECTS" from October 1, 2021 to September 30, 2024. The grant was awarded under the NSF's Computer and Information Science and Engineering program (CFDA 47.070), which supports investigator-initiated research and education in all areas of computing, communications, and information science and engineering....
- The University of Utah received a $186,955 Project Grant award from the National Science Foundation Division of Computing and Communication Foundations on August 1, 2021 to support research through July 31, 2022. The grant funds the "COLLABORATIVE RESEARCH: PPOSS: PLANNING: MODEL-DRIVEN COMPILER OPTIMIZATION AND ALGORITHM-ARCHITECTURE CO-DESIGN FOR SCALABLE MACHINE LEARNING" project under the Computer and Information Science and Engineering program (CFDA 47.070). This program...
- The National Science Foundation (NSF) awarded a $284,596 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Mississippi State University. The grant will establish a 10-week Research Experiences for Undergraduates (REU) site focused on cybersecurity in emerging technologies. The program will recruit and mentor underrepresented undergraduate students to engage in impactful research projects addressing real-world cybersecurity challenges in areas...
- The University of Utah will receive $614,956 from the National Science Foundation under the Computer and Information Science and Engineering program (CFDA 47.070) to develop acceleration strategies for emerging life science workloads through an AI+X approach from October 1, 2022 to September 30, 2025. Specifically, the project will design configurable accelerator architectures to efficiently handle both artificial intelligence and small-market healthcare domains like computational pathology...
- The University of Utah will receive $500,000 over three years from the National Science Foundation Division of Research on Learning in Formal and Informal Settings under the Computer and Information Science and Engineering program (CFDA 47.070) to conduct research titled "COLLABORATIVE RESEARCH: NCS: FO: ENHANCING EPISODIC MEMORY THROUGH REAL-WORLD INTEGRATION OF BRAIN RECORDING AND STIMULATION WITH SEMANTIC ALIGNMENT OF HUMAN AND IOT PERCEPTION." The research aims to advance...
- 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,...
The Utah State University was awarded a $498,618 project grant from the National Science Foundation under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) for work period from June 1, 2021 to May 31, 2024. The funding will support the university's "Deep Learning for Insider Threat Detection" project. As described under the CFDA program, the NSF grant aims to advance computing and information sciences research. The Utah State University project aligns with this goal by developing deep learning techniques to detect insider threats, a key challenge in cybersecurity that this funding seeks to address. The total three-year award of $498,618 will allow meaningful research progress towards this objective over the grant performance period in Logan, Utah.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $0 | 5/21/21 | ||
| Not listed | $498.6k | 3/15/21 |