This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $175,000 in funding to the University of Tulsa to research techniques for combining guaranteed privacy and resilience in dynamic cyber-physical systems (CPS). The project aims to develop a framework that enables distributed CPS agents, such as those found in autonomous vehicles, smart energy grids, and robotic teams, to operate safely even...
This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $166,831 to Northeastern University to conduct research on trustworthy and deployable solutions for trusted execution environments (TEEs) in embedded and IoT systems. The key objectives of this 4-year project are to: (1) design trustworthy TEE hardware paradigms with a minimal trusted computing base, (2) discover and fix...
This Project Grant award, provided by the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070), is funding the development of enabling technologies for integrating distributed intelligence into the network edge to support next-generation smart applications. The $100,000 award is supporting research activities focused on three main thrusts: (1) developing techniques for the life cycle of distributed intelligence, including data curation,...
This Project Grant award for $375,022.00 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop new cross-layer computing architectures and strategies to enable efficient edge intelligence and real-time processing for resource-limited Internet of Things (IoT) devices. The research will focus on designing non-Von Neumann architectures that integrate computation and data conversion capabilities to reduce data...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $199,973 to support planning activities for a large-scale proposal to increase the security and privacy of artificial intelligence (AI)-enabled cyber-physical systems (CPS). The planning project, led by an interdisciplinary team, aims to develop foundational knowledge and tools to understand and defend against the unique risks of...
This National Science Foundation (NSF) award under the STEM Education (CFDA 47.076) program provides $304,385 to Towson University to develop an innovative curriculum and teaching materials for edge artificial intelligence (edge AI) education and workforce development. The project aims to: Design four low-cost testbeds for edge intelligence education and research, Develop a comprehensive suite of hands-on labs and case studies utilizing edge computing hardware and software, and Integrate the new...
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...
This Project Grant award of $328,423 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program supports research to enhance the security and resilience of distributed cyber-physical systems (CPS). The University of Florida is the prime awardee and will focus on three key objectives: (1) detecting cyber-attacks and malicious activities using novel algorithms; (2) analyzing the impacts of cyber threats and providing diagnostics; and (3) developing...
The National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) federal grant program (CFDA 47.070) awarded a $148,347 project grant to the University of Maine System (UMS) to develop a new framework for microelectronic security and trust. The key elements of the project are: Using reinforcement learning techniques to discover novel attack vectors against logic locking and identify root causes behind successful attacks. Leveraging explainable artificial intelligence...
This $237,859 federal Project Grant award from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) supports research to enhance cybersecurity and privacy techniques for the integration of the Internet of Things (IoT) and Artificial Intelligence, known as the Artificial Internet of Things (AIoT). The key research tasks under this three-year project include: 1) Building a joint research testbed for integrating AI and IoT, 2) Investigating data...
This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program, CFDA 47.070, provides $174,981 to Towson University to develop a secure and trustworthy edge intelligence (EI) framework to advance resilient next-generation cyber-physical systems (CPS).
The key objectives of this 2-year project are to: (1) advance system-level co-design across learning, sensing, and communication components in EI frameworks for CPS, (2) develop a comprehensive security assessment toolbox for EI, and (3) evaluate benchmark security protocols based on the developed toolbox. The project aims to improve CPS security and reliability at the edge, and will contribute to workforce development by equipping students with expertise in AI, cybersecurity, IoT, and CPS. The research infrastructure and findings will be shared to promote innovation in the CPS, AI security, and IoT research communities.