Project Grant 2038922
Award Date
2/1/21
Completion Date
1/31/24
Dollars Obligated
$1.2M
Federal Agency
Division of Computer and Network Systems
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Knoxville, TN 37996, USA
Similar Awards
The University of Tennessee received a $500,000 Project Grant award from the National Science Foundation Division of Electrical, Communications and Cyber Systems on March 1, 2021 to support research towards enhanced grid robustness through discrete controls on emerging power technologies. The award is part of the NSF Directorate for Engineering's Engineering program (CFDA 47.041), which aims to foster innovation in engineering research and education to improve quality of life and economic...
This $399,795 National Science Foundation project grant supports the development of an artificial intelligence and cyber-physical systems curriculum at Tennessee State University through July 2024. The grant aims to introduce underrepresented engineering students to the knowledge and opportunities needed for careers in high-demand AI-CPS fields. Specifically, the grant will fund the creation of a well-defined AI-CPS curriculum with cybersecurity, AI, and CPS components. This curriculum targets...
The National Science Foundation awarded Tennessee State University a $239,848 project grant under the Computer and Information Science and Engineering program (CFDA 47.070) to support research titled "COLLABORATIVE RESEARCH: CISE-MSI: RCBP-RF: IIS-RI: ANALYTICALLY-BASED FRAMEWORKS FOR AI MODEL VERIFICATION AND IMPROVEMENT IN CYBER-PHYSICAL SYSTEMS." The two-year grant, awarded October 15, 2021 with a completion date of September 30, 2023, will fund the development of analytically-based...
The National Science Foundation (NSF) awarded a $2,102,685 Project Grant under the Computer and Information Science and Engineering (CISE) program to the University of Tennessee, Knoxville. The grant, titled "COLLABORATIVE RESEARCH: FRAMEWORKS: SCALABLE PERFORMANCE AND ACCURACY ANALYSIS FOR DISTRIBUTED AND EXTREME-SCALE SYSTEMS (SPADE)," aims to develop innovative software and APIs to enhance monitoring, optimization, and decision-making capabilities for extreme-scale computing...
This $375,000 National Science Foundation project grant supports the development of strategic holistic frameworks for intrusion prevention in power systems through 2025. Funded under the Engineering program (CFDA 47.041), the award to Tennessee Technological University aims to strengthen national power grid protection against cyber-physical attacks. Key products include novel methods to generate and fuse cyber and physical data reflecting normal operations and coordinated attack scenarios....
The National Science Foundation (NSF) awarded a $120,000 Project Grant to Tennessee State University under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant funds a collaborative research project to develop a framework for automating end-to-end resource management of 5G-enabled Internet of Things (IoT) devices using reinforcement learning (RL) techniques with massive multiple-input multiple-output (MIMO) in large-scale networks. The project aims to address the...
This Project Grant award, provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070), supports research to characterize the vulnerabilities of learning-based controllers in networked cyber-physical systems (CPS). The $149,985 award will enable the University of Alabama in Huntsville (UAH) to develop real-time reward manipulation schemes, multi-level attack strategies, and data-enabled detection methods to...
The University of Tennessee received a $400,664 National Science Foundation Project Grant under the Engineering (47.041) federal grant program. The grant funds research to develop a novel approach for mitigating power system communication failures caused by time-varying delays. The project introduces a new mathematical approach for controllers operating in power system networks. The controllers are designed to limit energy expenditures and reduce actuation effort while relaxing communication...
The University of Tennessee was awarded a $948,034 Project Grant from the National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering (47.041) federal grant program. The grant will support development of a nonlinear model reduction framework and associated data-driven inference strategies for oscillatory systems from March 1, 2022 to February 28, 2027. The framework aims to improve understanding and analysis of oscillatory dynamics through...
The University of Tennessee received a three-year, $350,000 Project Grant from the National Science Foundation's Engineering program (CFDA 47.041) to develop artificial intelligence-assisted algorithms for automatic electric power grid modeling. The university will create models of realistic U.S. electric grids under various operating scenarios involving conventional and renewable energy sources. This will help identify and mitigate risks to electric grids by significantly reducing model...