The Augusta University Research Institute, Inc. (AURI) received a $582,562 Project Grant from the National Science Foundation Division of Computing and Communication Foundations' Computer and Information Science and Engineering program to develop specifications and formalisms for reversible computing protocols and languages. Over a three-year period from March 1, 2023 through February 28, 2026, AURI will concurrently refine definitions of independence for reversible systems, implement a...
The Augusta University Research Institute, Inc. (AURI) received a $500,000 Project Grant award from the National Science Foundation Division of Computer and Network Systems. The award's purpose is to support the development of a robust framework with rigorous semantics and security guarantees for election-day voter check-in. This work falls under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), which aims to advance computing, communications, and...
This $256,710 National Science Foundation award under the Computer and Information Science and Engineering (CFDA 47.070) program supports a collaborative research project led by the University of Texas at Austin. The project investigates full-stack implementation methodologies for developing expressive programming systems that bridge the gap between high-level specifications and high-performance implementations of complex reasoning tasks at scale. Key focus areas include extending declarative...
This $270,913 federal Project Grant award, funded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program, supports research to develop qualitative and quantitative methodologies for assessing the safety of learning-enabled autonomous systems. The project, led by the Augusta University Research Institute, Inc. (AURI), will target foundational challenges in capturing uncertainties from environments and providing timely, comprehensive, and...
The National Science Foundation (NSF) awarded a $329,183 Project Grant to the College of William & Mary under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant, awarded on October 1, 2023, will fund the development of a framework and methodology to enable researchers and software engineers to better interpret the behavior of AI-powered developer tools that leverage neural language models for source code. The project aims to generate global and local...
This Project Grant award of $263,443 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will fund research by Augusta University Research Institute, Inc. to develop scalable, message-efficient distributed algorithms. The overarching goal is to substantially improve the understanding of the message complexity of fundamental problems in distributed computing, including classical problems like maximal independent set, graph...
The National Science Foundation (NSF) has awarded a Project Grant of $450,292 to Oakland University (OU) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). This 3-year grant will support OU's Research Experiences for Undergraduates (REU) site in cybersecurity and artificial intelligence, titled "UNCORE-CYBERAI". The project will engage 30 undergraduate students, many from underrepresented groups and institutions with limited STEM...
This $599,996 National Science Foundation project grant supports research at Augusta University Research Institute, Inc. to develop new techniques for securely querying massive scientific datasets in cloud environments. Specifically, the grant funds research to extend the state-of-the-art in encrypted data querying methods to better support the distinct characteristics of scientific data and typical queries. Key areas of focus include developing new encryption and query processing techniques...
This four-year, $750,000 Project Grant from the National Science Foundation's Division of Information and Intelligent Systems will support the development of foundational principles for modular probabilistic programming and inference. Funded under the Computer and Information Science and Engineering program, the grant aims to advance scalable and efficient machine learning model design through the creation of a new probabilistic programming language called MODPPL. Key deliverables include the...
The National Science Foundation awarded a $149,570 project grant to the University of South Florida under the federal Computer and Information Science and Engineering grant program (CFDA 47.070) from May 1, 2023 to April 30, 2024. The grant funds research to develop new computational models and metrics for detecting semantic inferences between texts at a finer level of granularity than current natural language processing approaches. Specifically, the university will enrich representations of...