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

Status: Archived

Important Information for Proposers

A revised version of the NSF Proposal & Award Policies & Procedures Guide (PAPPG) (NSF 22-1), is effective for proposals submitted, or due, on or after October 4, 2021. Please be advised that, depending on the specified due date, the guidelines contained in NSF 22-1 may apply to proposals submitted in response to this funding opportunity.

Supports teams of computer and mathematical scientists and engineers using multimodal sensor systems — enabled by data harnessing, artificial intelligence, real-time learning and decision-making capabilities — to address precision health challenges.


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 (703) 292-2485
Usha Varshney (703) 292-8339 ENG/ECCS
Aleksandr L. Simonian (703) 292-2191 ENG/CBET
Radhakisan S. Baheti (703) 292-8339
Albert Z. Wang (703) 292-7230
Huixia Wang (703) 292-2279 MPS/DMS
Laurel C. Kuxhaus (703) 292-4465 ENG/CMMI
Robert A. Scheidt 703-292-2477
Wendy Nilsen (703) 292-2568 CISE/IIS
Balakrishnan Prabhakaran 703-292-4847 CISE/IIS

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