NSF Org:	ECCS Division of Electrical, Communications and Cyber Systems
Recipient:	UNIVERSITY OF MARYLAND, COLLEGE PARK
Initial Amendment Date:	April 5, 2023
Latest Amendment Date:	April 1, 2025
Award Number:	2321063
Award Instrument:	Standard Grant
Program Manager:	Huaiyu Dai hdai@nsf.gov  (703)292-4568 ECCS  Division of Electrical, Communications and Cyber Systems ENG  Directorate for Engineering
Start Date:	April 15, 2023
End Date:	March 31, 2026 (Estimated)
Total Intended Award Amount:	$49,853.00
Total Awarded Amount to Date:	$49,853.00
Funds Obligated to Date:	FY 2023 = $49,853.00
History of Investigator:	Min Wu (Principal Investigator) minwu@umd.edu
Recipient Sponsored Research Office:	University of Maryland, College Park 3112 LEE BUILDING COLLEGE PARK MD  US  20742-5100 (301)405-6269
Sponsor Congressional District:	04
Primary Place of Performance:	University of Maryland, College Park 3112 LEE BLDG 7809 REGENTS DR College Park MD  US  20742-5103
Primary Place of Performance Congressional District:	04
Unique Entity Identifier (UEI):	NPU8ULVAAS23
Parent UEI:	NPU8ULVAAS23
NSF Program(s):	CCSS-Comms Circuits & Sens Sys, EPCN-Energy-Power-Ctrl-Netwrks
Primary Program Source:	01002324DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s):	7936, 7607, 153E
Program Element Code(s):	756400, 760700
Award Agency Code:	4900
Fund Agency Code:	4900
Assistance Listing Number(s):	47.041

ABSTRACT

The fast-growing areas of artificial intelligence (AI) and machine learning (ML), especially in the area of deep models, are bringing new ways and tools of solving problems beyond the traditional paradigms. They offer new perspectives and also prompt challenges and open questions in the areas of signal processing and data science. This workshop aims at bringing together experts from academia, industry, government agencies, and professional societies to discuss research challenges, opportunities, and potential pathways forward and collaborative efforts needed toward explainable, reliable, and sustainable machine learning for signal and data science.

The workshop will be held in College Park, MD, on March 20-21, 2023, to foster convergence research in AI/ML. The workshop will initiate a dialogue and foster open and constructive exchanges of a group of leading experts with complementary expertise and perspectives. It is envisioned that this two-day workshop will feature keynote presentations, panel discussions, as well as break-out and summary sessions; participants from a wide range of background will be engaged, such as signal sensing and processing, data science, machine learning, computer vision, speech and natural language, control theory and system, information theory, and more. Discussions and collaborations facilitated by the workshop will help shape the paradigm of research and graduate education in the new era of AI, and pave a pathway forward to the research advancement and talent training in machine learning that can benefit society in sound, reliable, and sustainable ways.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

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