NSF EPSCoR Edge AI Project
Led by The University of South Alabama, NSF EPSCoR Edge AI is building a new Edge AI research infrastructure with novel algorithms, hardware, sensors and devices and to train a diverse workforce in Alabama, North Dakota, and Arkansas by driving transformational advancement in the capabilities of AI in edge devices. Bringing together a multidisciplinary team from six universities, NSF EPSCoR Edge AI’s goal is to accelerate AI implementation developed to the point where it can be readily included within edge devices, promoting real-time decision-making.
NSF EPSCoR Edge AI is committed to developing an Education-to-Workforce Pipeline in Edge AI to train, educate, and develop a diverse workforce. The developed pipeline target groups include high school students, undergraduates (including tribal college students and minority students) and graduate students, Post-Doctoral researchers, junior faculty, and industry practitioners.
Vision Statement
The vision of this NSF RII Track 2 FEC project is AI implementation developed to the point where it can be readily included with edge devices, promoting real-time decision-making.
Mission Statement
The mission of this project is to build Edge AI research infrastructure with novel algorithms, hardware, sensors and devices and to train a diverse workforce in Alabama, North Dakota, and Arkansas by driving transformational advancement in the capabilities of AI in edge development.
Participating Universities
Dr. George Clark
SARJ award Recipient
Dr. Juan Li
Co-Principal Investigator
Dr. Danling Wang
Co-Principal Investigator
Dr. Kristine Steffen
Senior Personnel
Dr. Inbae Jeong
SARJ award Recipient
Dr. Jia Di
Co-Principal Investigator
Dr. Eric L. Johnson
Senior Personnel
Dr. Sicong Shao
SARJ award Recipient
Dr. Jielun Zhang
SARJ award Recipient
Dr. Zhigang Xiao
Senior Personnel
Dr. Kerry Hartman
Senior Personnel