2023 fall acknowledge of funding support

Dr. Qin thanks SFS Award 1663105 and 2234910

For aginge-related works

HQ thanks USA NSF #1761839, a catalyst award from the USA National Academy of Medicine, AI Tennessee Initiative, and internal support of the University of Tennessee at Chattanooga. 

For epidemiology:

HQ thanks the USA NSF  award 1663105, 1761839 and 2200138,  2234910, a catalyst award from the USA National Academy of Medicine, AI Tennessee Initiative, and the support at the University of Tennessee at Chattanooga. 

For covid19

HQ thanks the support of USA NSF PIPP #2200138, BD Spoke #1761839, SFS #1663105,  REU #1852042 and #2149956, and an internal CEACSE award and support from the Office of the Vice Chancellor of Research at the University of Tennessee at Chattanooga.

For REU: 

We thank the support of NSF REU #1852042 and  #2149956, and the support from  the Department of Computer Science and Engineering and the Office of Vice Chancellor of Research at the University of Tennessee at Chattanooga. 

For Machine Learning
We thank the support of NSF and #1720215, BD Spoke  #1761839, and internal support of the University of Tennessee at Chattanooga.