Project Grant 2107190
Award Date
10/1/21
Completion Date
9/30/24
Dollars Obligated
$384K
Federal Agency
Division of Computer and Network Systems
Awardee
Auburn University (DMQNDJDHTDG4)
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Auburn University, AL 36849, USA
Similar Awards
Auburn University was awarded a $349,846 Project Grant from the National Science Foundation under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will support research efforts to address the memory bottleneck problem impacting deep learning hardware through co-optimization of on-chip and off-chip memory system design with AI/DL hardware architecture. Key activities include utilizing emerging magnetic random access memory, chiplet, and packaging...
The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded Auburn University a $252,000 Project Grant titled "CCSS: COLLABORATIVE RESEARCH: QUALITY-AWARE DISTRIBUTED COMPUTATION FOR WIRELESS FEDERATED LEARNING: CHANNEL-AWARE USER SELECTION, MINI-BATCH SIZE ADAPTATION, AND SCHEDULING" under the Engineering (47.041) federal grant program. The award will support research from August 15, 2021 to July 31, 2024 to develop techniques for quality-aware...
This $206,568 federal Project Grant award was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The project aims to develop AI/machine learning-assisted system and package-level co-design methodologies to optimize the power, performance, chip area, reliability, and cost of next-generation AI hardware systems using chiplet-based architectures. Key research thrusts include modeling critical performance metrics,...
This $549,359 Project Grant award from the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering) to Auburn University supports research to develop novel techniques for accelerating the computational performance of deep neural network (DNN) mutation analysis. The goal is to enhance the reliability and robustness of deep learning systems used in critical applications by making DNN quality assurance testing more efficient. The research will explore the use...
The National Science Foundation awarded Auburn University a $299,941 Project Grant under the STEM Education (CFDA 47.076) federal grant program. The two-year award, made on May 1, 2021 and concluding on April 30, 2023, will support the development of transformative educational approaches to meld artificial intelligence and cybersecurity mindsets. As the sole awardee, Auburn University will leverage the funding to deliver educational programming and training focused on integrating artificial...
Auburn University was awarded a $154,006 Project Grant from the National Science Foundation under the Science, Technology, Engineering and Mathematics Education (STEM Education) program (CFDA 47.076). The grant will support the development of authentic learning modules for DevOps security education (ALAMOSE) in collaboration with Tennessee Tech University and Kennesaw State University. The modules aim to educate computer science students on integrating cybersecurity practices into software...
Auburn University was awarded a $200,000 Project Grant from the National Science Foundation to support the program "COMPUTATIONAL ALGEBRA AND APPLICATIONS" from March 1, 2021 through February 29, 2024. The grant funding will support research in computational algebra and its applications under the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049). The goal of this program is to promote progress in the mathematical and physical sciences and strengthen...
The National Science Foundation awarded Auburn University a $498,762 project grant under the Engineering program (CFDA 47.041) to develop federated deep learning techniques for distributed additive manufacturing. The two-year award beginning September 1, 2021 will support Auburn University's work to create a federated deep learning framework that enables ubiquitous distributed additive manufacturing across networked nodes. Auburn University will collaborate with sub-awardees the University of...
This $170,000 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research at Auburn University to develop an untethered extended reality (XR) framework. The key products and services to be delivered include: Novel millimeter-wave (mmWave) sensing methods to detect full-body movements of multiple XR users, leveraging complex-valued channel state information and radio map data. A collaborative reinforcement learning framework to enable...
Auburn University was awarded a $324,379 project grant from the National Science Foundation Division of Integrative Organismal Systems. The grant was awarded under the Biological Sciences program (CFDA 47.074) to support the research project "COLLABORATIVE RESEARCH: UNDERSTANDING THE RULES OF HONEST SIGNALING" from August 1, 2021 through July 31, 2024. The Biological Sciences program aims to promote progress in the biological sciences and strengthen the nation's scientific enterprise...