I'm an Assistant Professor in the School of Computing and a faculty fellow at the Institute for Artificial Intelligence at the University of Georgia. I'm also a Lilly Teaching Fellow.
My main research area is computer vision--understanding our world using visual data with the help of state-of-the-art deep learning models. In particular, I'm passionate about understanding people in diverse and complex environment using images and videos. I believe A.I. can and should be developed to improve people's quality of life.
I am actively collaborating with researchers across disciplines to apply A.I. in scientific discovery, healthcare advancement, and societal challenges, aiming to create meaningful impact beyond traditional computer vision applications.
My main research area is computer vision--understanding our world using visual data with the help of state-of-the-art deep learning models. In particular, I'm passionate about understanding people in diverse and complex environment using images and videos. I believe A.I. can and should be developed to improve people's quality of life.
I am actively collaborating with researchers across disciplines to apply A.I. in scientific discovery, healthcare advancement, and societal challenges, aiming to create meaningful impact beyond traditional computer vision applications.
Recent news
Dec, 2024
New journal paper accepted at Ageing Research Reviews.
Sep, 2024
National Institutes of Health (NIH) R21 grant awarded.
Sep, 2024
University of Georgia, College of Engineering, Engineering and Computing Convergence Collaboration innovations (EC3) grant awarded.
Aug, 2024
New journal paper accepted at Biosystems Engineering.
Jun, 2024
New conference paper accepted at NeurIPS 2024.
May, 2024
New journal paper accepted at Computers and Electronics in Agriculture.
Jan, 2024
University of Georgia, Presidential Interdisciplinary Seed Grant awarded.