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Multimodal Sensor Systems for Precision Health Enabled by Data Harnessing, Artificial Intelligence, and Learning (SenSE)

Status: Archived

Important information for proposers

All proposals must be submitted in accordance with the requirements specified in this funding opportunity and in the NSF Proposal & Award Policies & Procedures Guide (PAPPG) that is in effect for the relevant due date to which the proposal is being submitted. It is the responsibility of the proposer to ensure that the proposal meets these requirements. Submitting a proposal prior to a specified deadline does not negate this requirement.


The National Science Foundation (NSF) through its Divisions of Electrical, Communications and Cyber Systems (ECCS); Chemical, Bioengineering, Environmental and Transport Systems (CBET); Civil, Mechanical and Manufacturing Innovation (CMMI); Information and Intelligent Systems (IIS); and Mathematical Sciences (DMS) announces a solicitation on Multimodal Sensor Systems for Precision Health enabled by Data Harnessing, Artificial Intelligence (AI), and Learning. Next-generation multimodal sensor systems for precision health integrated with AI, machine learning (ML), and mathematical and statistical (MS) methods for learning can be envisioned for harnessing a large volume of diverse data in real time with high accuracy, sensitivity and selectivity, and for building predictive models to enable more precise diagnosis and individualized treatments. It is expected that these multimodal sensor systems will have the potential to identify with high confidence combinations of biomarkers, including kinematic and kinetic indicators associated with specific disease and disability. This focused solicitation seeks high-risk/high-return interdisciplinary research on novel concepts, innovative methodologies, theory, algorithms, and enabling technologies that will address the fundamental scientific issues and technological challenges associated with precision health.

Program contacts

Shubhra Gangopadhyay
sgangopa@nsf.gov (703) 292-2485
Usha Varshney
uvarshne@nsf.gov (703) 292-8339 ENG/ECCS
Aleksandr L. Simonian
asimonia@nsf.gov (703) 292-2191 ENG/CBET
Radhakisan S. Baheti
rbaheti@nsf.gov (703) 292-8339
Albert Z. Wang
awang@nsf.gov (703) 292-7230
Huixia Wang
huiwang@nsf.gov (703) 292-2279
Laurel C. Kuxhaus
lkuxhaus@nsf.gov (703) 292-4465
Robert A. Scheidt
rscheidt@nsf.gov 703-292-2477
Wendy Nilsen
wnilsen@nsf.gov (703) 292-2568 CISE/IIS
Balakrishnan Prabhakaran
bprabhak@nsf.gov 703-292-4847

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