Project Grant 2326341
Award Date 9/1/23
Completion Date 8/31/26
Dollars Obligated $170K
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Storrs, CT 06269, USA
Similar Awards
- Federal Grant Award Summary The University of Connecticut received a $145,496 Project Grant from the National Science Foundation (NSF) Technology, Innovation, and Partnerships program (CFDA 47.084) awarded October 1, 2025, with completion targeted for September 30, 2028. The project develops a comprehensive privacy-preserving collaborative data-sharing platform for intelligent transportation systems (ITS), addressing the challenge of securely sharing sensitive transportation data—including...
- This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will promote progress in data science to support smart transportation systems. The funding of $317,374 over 3 years, starting on October 1, 2024, will establish a theoretical framework for quantifying the value of data from various sources in a transportation network. The project aims to: 1) quantify how changes in data affect estimates of network performance metrics to identify important data...
- This $230,000 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research at the University of Connecticut focused on creating a novel computational paradigm called "SMART-RECOVER" to establish resilience against stealthy cyberphysical attacks on digital manufacturing systems. The key research objectives include: (1) pre-fabrication reconstruction of digital geometric models altered by attacks, (2) in-process remodification of...
- This $449,188 National Science Foundation (NSF) Division of Computing and Communication Foundations grant, awarded under the Computer and Information Science and Engineering (CFDA #47.070) program, supports a collaborative research project at the University of Notre Dame focused on developing novel techniques for detecting and recovering from sensor attacks in cyber-physical systems (CPS). The key objectives are to: 1) create real-time, adaptive sensor attack detection approaches that...
- This National Science Foundation (NSF) Engineering (CFDA 47.041) Project Grant award of $367,616 to the University of California, Davis (UC Davis) will fund research to establish a theoretical framework for evaluating and optimizing data acquisition in transportation networks. The research project aims to quantify the value of data from various sources to help transportation network operators, such as the California Department of Transportation, make more informed decisions about which data to...
- The Massachusetts Institute of Technology (MIT) received a $800,000 Project Grant from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant will support the development of an online learning framework to optimize transportation systems as emerging mobility options like connected and automated vehicles alter travel demand and efficiency. Specifically, MIT...
- The National Science Foundation awarded a $823,480 project grant to the University of Connecticut under the Engineering program (CFDA 47.041) for work titled "CAREER: BRIDGING THE GAP BETWEEN DETERMINISTIC AND STOCHASTIC STRUCTURES FOR MIXED STOCHASTICITY SYSTEM DESIGN." This five-year award beginning January 1, 2022 will support research to improve techniques for designing systems with both deterministic and stochastic components. The Engineering program aims to foster innovation in...
- The National Science Foundation (NSF) is providing a $206,382 Project Grant under its Computer and Information Science and Engineering (CISE) program to the Illinois Institute of Technology (IIT) Sponsored Research and Programs Division. The objective of this 5-year award is to design a trustworthy, flexible, and generalizable machine learning framework that can provide robustness against common privacy and security attacks. The project will develop novel information-theoretic representation...
- This Project Grant award from the National Science Foundation Division of Computer and Network Systems provides $148,867 to support research into cooperative neuro-inspired anomaly detection models for connected vehicles. Funded under the Computer and Information Science and Engineering program (CFDA #47.070), the two-year award to Texas State University aims to develop novel algorithmic methods and multi-agent models to identify anomalous sensor readings that could pose safety risks in...
- The National Science Foundation (NSF) awarded a $519,991 Faculty Early Career Development (CAREER) Project Grant under the Engineering program (CFDA 47.041) to the University of Illinois. This 5-year project will develop new transportation system models that account for the discontinuous behavior of transportation services when pricing is introduced or removed, such as the impact on bus boarding times. The research will investigate optimal transportation system design and pricing policies,...