Project Grant 2223987

Award Date 6/1/23
Completion Date 5/31/26
Dollars Obligated $400K
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Baltimore, MD 21218, USA
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The National Science Foundation awarded a $400,000 Project Grant to The Johns Hopkins University under the Engineering federal grant program (CFDA 47.041) for the period of June 1, 2023 through May 31, 2026.

This NSF grant aims to develop new data-driven modeling and analysis techniques for cyber-physical systems through a novel combination of machine learning and physics-based approaches. Specifically, Johns Hopkins University will work to transform human interaction with complex engineered systems like energy networks by producing mathematical and computational models that balance interpretability and quantitative accuracy. The university brings together expertise in physical modeling, energy systems, and data-driven learning to apply this approach and address key challenges in interconnected energy networks. Outcomes will include publicly available open-source software and training opportunities for undergraduate students, including those from underrepresented communities. This award supports the NSF's mission to fund fundamental engineering research and education.

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