Project Grant 2535766

Award Date 6/1/25
Completion Date 7/31/26
Dollars Obligated $228K
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Philadelphia, PA 19122, USA
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This is a Project Grant awarded by the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070). The $299,708 grant, with a period of performance from August 15, 2023 to July 31, 2027, supports collaborative research to develop AI-driven radio frequency identification (RFID) sensing techniques for smart health monitoring applications. The research aims to create more affordable, comfortable,...
This $170,000 federal Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop robust and human-aligned deep learning techniques for analyzing medical sensor time-series data. The primary goals are to: 1) identify input confounders that lead to spurious correlations in time-series data, 2) design knowledge-editing strategies to correct these spurious correlations, and 3) investigate the techniques...
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The National Science Foundation (NSF) awarded a $299,612 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to The Johns Hopkins University to develop AI-driven Radio Frequency Identification (RFID) sensing systems for smart health monitoring applications. The 4-year project aims to create more affordable, comfortable, and accessible health monitoring solutions by leveraging advances in the Internet of Things and machine learning/artificial...
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Generated 8/5/25, 2:45 AM