Project Grant FG5209NA29503

This $430,234 National Science Foundation project grant supports the development of testing and design-for-test techniques for monolithic 3D integrated circuits at Arizona State University. Funded under the Computer and Information Science and Engineering program (CFDA 47.070), the award will advance research on built-in self-test solutions, test generation methods, and power distribution designs to enable reliable testing and defect isolation in multitiered 3D chip architectures. Outcomes...

This Cooperative Agreement award from the U.S. Department of Energy's Advanced Research Projects Agency-Energy (ARPA-E) (CFDA 81.135) provides $5,328,852 to Arizona State University (ASU) for the development of a novel underground electrical distribution line installation system. The key products and services to be delivered under this 3-year award include: The technology provides a transformative solution that significantly reduces the construction workflow for installing buried medium...

The Department of Energy's Office of Technology Transitions (OTT) awarded a $890,395 Cooperative Agreement to the Hanover County Clean Technology Innovation Center, doing business as the Dominion Energy Innovation Center, under the OTT Technology Deployment, Demonstration and Commercialization program (CFDA 81.010). The funding will support a new 10-week program focused specifically on startups related to or supporting data center energy usage, with a Technology Readiness Level (TRL) of 6 or...

This three-year, $600,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop scalable concolic testing techniques for parallel applications with shared dynamic data structures. Specifically, the awardee, the Regents of the University of California at Riverside, will pursue two key objectives. First, the researchers will generalize concolic testing to automatically test parallel programs running on heterogeneous, massively...

This $163,351 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop new techniques for efficiently and effectively detecting and removing software defects in autonomous driving vehicles. The key products and services to be delivered through this 5-year grant include: Generating driving scenarios that are likely to reveal errors when autonomous driving systems (ADS) are responsible for traffic...

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The Federal Transit Administration (FTA) awarded a $625,000 Cooperative Agreement under the Public Transportation Innovation (CFDA 20.530) program to the Intelligent Transportation Society of America (ITS America). The 26-month project aims to promote knowledge sharing and best practices in transit data interoperability. Key activities include: Conducting quarterly peer exchanges on topics such as multimodal mobility, zero-emission transit, and vehicle/operator safety to facilitate discussion...

The National Science Foundation awarded a $597,785 Project Grant to Purdue University to develop new techniques for automated verification and synthesis of input generators in property-based testing frameworks. This grant, funded through NSF's Computer and Information Science and Engineering program (CFDA 47.070), aims to enable precise reasoning about the soundness and completeness of software testing generators. The project will focus on developing new specification frameworks, type systems,...

This $505,916 project grant from the National Science Foundation's Computer and Information Science and Engineering program will fund research at the University of Delaware to develop novel performance testing frameworks for serverless cloud computing applications. The grant aims to address the lack of tools to accurately determine performance for serverless cloud deployments. Over three years, researchers will design correlation-aware statistical techniques including clustered-block bootstrap...

This $2,000,000 federal Project Grant, awarded by the National Institute of Standards and Technology (NIST) under the Congressionally-Identified Projects program (CFDA 11.617), will establish a standards development center for automated driving systems (ADS) at Michigan Technological University (MTU). The center will focus on developing and validating new test methods and datasets for assessing the performance and reliability of ADS components and systems under inclement winter weather...