Project Grant DESC0019614

This $500,000 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program supports a collaborative research effort between Yale University and its partners to develop energy-efficient algorithms and hardware for spike-based edge computing. The project aims to integrate spiking neural networks (SNNs), a brain-inspired computing paradigm, with modern integrated circuits to enable practical deployment of neuromorphic...

This three-year, $279,334 National Science Foundation project grant funds research at the New Jersey Institute of Technology to develop integrated sensing and normally-off computing architectures for Internet of Things devices. The research focuses on designing processing-in-sensor units and processing-near-sensor units that co-integrate sensing and processing capabilities. These hybrid platforms will feature granularly configurable arithmetic operations to balance accuracy, speed and power...

This $129,887 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) will fund the development of a new edge-IoT framework called DeepEdge at George Mason University from October 2022 through September 2023. DeepEdge will use deep online learning to allocate resources for heterogeneous IoT applications and dynamic devices across geographically distributed edge clouds. It aims to maximize users' quality of experience. Key...

This Project Grant from the National Science Foundation's Division of Computer and Network Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $665,053 to San Jose State University Research Foundation (doing business as San Jose State University) for the period of July 15, 2022 through June 30, 2025. The grant supports development of a next-generation cooperative perception system with multi-modal sensing and low-latency communication capabilities....

This Project Grant award of $185,428 from the National Science Foundation (NSF) Office of Advanced Cyberinfrastructure, under the NSF's Computer and Information Science and Engineering (CISE) program (CFDA 47.070), will fund research at Auburn University to develop an edge-friendly cyberinfrastructure that enables efficient, secure, and privacy-preserving federated learning (FL) for intelligent transportation system (ITS) applications. The project aims to advance FL capabilities on...

Purdue University was awarded a $258,000 project grant from the National Science Foundation Office of Advanced Cyberinfrastructure to conduct collaborative research titled "ADVANCING LOW-POWER COMPUTER VISION AT THE EDGE." The research will be performed from July 2021 through June 2024 under the NSF's Computer and Information Science and Engineering program (CFDA 47.070). This project aims to advance the development and use of low-power computer vision capabilities that can operate...

This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program grant awarded $929,354 to Cornell University to develop the "DELPHI" framework - an end-to-end system that prioritizes environmental impact while designing sustainable edge computing devices like wearables, cameras, and sensors. Through this 4-year project, the researchers will: 1) quantify the environmental impact of edge device components and develop new carbon models, 2) create...

The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded a $385,000 Project Grant to Northwestern University to develop cross-layer techniques from device to circuit and architecture for the large-scale integration of ferroelectric field effect transistors (FeFET) with complementary metal-oxide-semiconductor (CMOS) technology. This research aims to enable emerging computing applications, such as AI, robotics, augmented/virtual reality, and autonomous...

This three-year Project Grant from the National Science Foundation's Division of Computing and Communication Foundations, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $600,000 to Stony Brook University to develop a high-performance serverless edge computing framework for data-intensive applications. The university will conduct interrelated research tasks to address challenges in building this framework at the network edge, including developing a...

This Project Grant award of $450,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop novel approaches to electronic design automation (EDA) for creating high-performance and efficient computer hardware. The research introduces a strategy that combines formal techniques with learning-based optimization to enable differentiable hardware synthesis, particularly suited for heterogeneous computing. This new...