Project Grant 2139034

Award Date 5/1/22
Completion Date 4/30/24
Dollars Obligated $195K
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Long Beach, CA 90840, USA
Similar Awards
This $347,792 federal Project Grant award, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, supports the development of security-aware design primitives for next-generation embedded hardware. The research aims to enhance the effectiveness of hardware-assisted security solutions, resulting in lightweight and robust design-for-security primitives for resource-constrained embedded devices used in applications such as...
This $399,935 National Science Foundation (NSF) Project Grant Award under the Computer and Information Science and Engineering program (CFDA 47.070) aims to develop a portable and cost-effective biomedical diagnostic system in the form of an integrated lab-on-a-chip platform produced using additive manufacturing techniques. The key products and services to be delivered include: Advancing 3D manufacturing techniques, particularly in electrode printing, to enhance fabrication precision and...
This National Science Foundation (NSF) Project Grant award for $204,171, with a performance period from October 1, 2024 to October 31, 2025, will fund the development of a sector-specific cybersecurity training program focused on the healthcare industry. The project, led by the Research Foundation of the City University of New York (RFCUNY), aims to create a pipeline of diverse, well-trained cybersecurity workers prepared for frontline jobs in healthcare organizations. The project team will...
The National Science Foundation Division of Computer and Network Systems awarded a $297,448 Project Grant to the Long Beach Research Foundation of California State University from October 1, 2021 to September 30, 2024. The grant supports research titled "Towards Efficient, Reliable, and Secure Chaotic Communications in Wearable Devices" under the Computer and Information Science and Engineering program (CFDA #47.070). The Computer and Information Science and Engineering program aims to...
This National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems award under the Engineering (CFDA 47.041) program provides $500,004 from July 1, 2024 to June 30, 2029 to Case Western Reserve University to develop intelligent, self-healing and trusted wireless transceivers for biomedical applications. The key products and services to be delivered under this project grant include: Low-energy trusted data communications with smart threat detection capabilities,...
This $353,258 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of new methods for evaluating and mitigating security vulnerabilities in computer hardware design. The 5-year project, which commenced on March 1, 2025, aims to create abstract models and programming interfaces to help hardware designers reason about and address microarchitectural vulnerabilities during the design...
This $286,453 National Science Foundation project grant through the Integrative Activities program aims to enhance the reliability of medical cyber-physical systems under intentional electromagnetic interference attacks. The University of Louisiana at Lafayette will conduct research from January 2023 through December 2024 to advance methodologies for ensuring real-time reliability of medical devices with analog sensors, such as glucose monitors. Key activities include creating hardware to...
This $625,915 project grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) supports research to ensure the security and trustworthiness of emerging cyberphysical microfluidic systems. The collaborative project between Arizona State University and Duke University includes four components: understanding security threats and impacts; developing techniques to prevent, detect, and mitigate threats; experimental validation using...
This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) will provide $1,200,000 to the University of California, Berkeley to develop innovative sensing technologies that enable more frequent and comprehensive health monitoring. The key goals are to: (1) create molecular engineering techniques using DNA nanotechnology to amplify biosensor signals, (2) develop advanced biosensor-interfacing...
The National Science Foundation (NSF) awarded a $169,982 Project Grant under its Computer and Information Science and Engineering (CFDA 47.070) program to the University of Houston System. The grant, titled "COLLABORATIVE RESEARCH: CISE MSI: RDP: III: TOWARDS ROBUST AND HUMAN-ALIGNED DEEP LEARNING FOR MEDICAL-SENSOR TIME SERIES," aims to develop robust techniques for time-series deep learning models to address spurious correlations in medical sensor data applications. The key...

This National Science Foundation Project Grant of $195,305 awarded May 1, 2022 through April 30, 2024 under the Engineering (47.041) program will support the development of intelligent, cost-efficient, and adaptive techniques to enable biomedical hardware-assisted cybersecurity. The Long Beach Research Foundation at California State University will leverage machine learning to create accurate and low-cost cyberattack detection and classification methods that utilize hardware-related features from medical device processors. The Foundation will collect data on emerging hardware-driven threats, develop standard and advanced machine learning models, explore hardware implementation tradeoffs, and create an ontology-based framework for automated cybersecurity analysis in Internet of Medical Things devices. This award aims to advance engineering research and education to secure biomedical computing platforms against sophisticated cyberattacks.

Generated 1/7/24, 6:22 AM