Synopsis
The National Science Foundation Directorates for Mathematical and Physical Sciences (MPS), Computer and Information Science and Engineering (CISE), Engineering (ENG), and the Simons Foundation Division of Mathematics and Physical Sciences will jointly sponsor up to two new research collaborations consisting of mathematicians, statisticians, electrical engineers, and theoretical computer scientists. Research activities will be focused on explicit topics involving some of the most challenging questions in the general area of Mathematical and Scientific Foundations of Deep Learning. Each collaboration will conduct training through research involvement of recent doctoral degree recipients, graduate students, and/or undergraduate students from across this multi-disciplinary spectrum. Annual meetings of the Principal Investigators (“PIs”) and other principal researchers involved in the collaborations will be held at the Simons Foundation in New York City. This program complements NSF's National Artificial Intelligence Research Institutes program by supporting collaborative research focused on the mathematical and scientific foundations of Deep Learning through a different modality and at a different scale.
Program contacts
Important Note: For timely responses to your questions, please direct your email messages to the Program Directors on the MoDL Working Group at modl@nsf.gov
| Name | Phone | Organization | |
|---|---|---|---|
|
Huixia Wang
|
huiwang@nsf.gov | (703) 292-2279 | MPS/DMS |
|
Radhakisan S. Baheti
|
rbaheti@nsf.gov | (703) 292-8339 | ENG/ECCS |
|
Funda Ergun
|
fergun@nsf.gov | (703) 292-2216 | CISE/CCF |
|
Tracy Kimbrel
|
tkimbrel@nsf.gov | (703) 292-7924 | CISE/CCF |
|
Anthony Kuh
|
akuh@nsf.gov | (703) 292-2210 | ENG/ECCS |
|
Elizabeth Roy
|
eroy@simonsfoundation.org | (212) 524-6966 | |
|
Christopher W. Stark
|
cstark@nsf.gov | (703) 292-4869 | MPS/DMS |