Cheng Peng (https://sites.google.com/view/cheng-peng) is a post-doctoral fellow at the Johns Hopkins University and a member of the Artificial Intelligence for Engineering and Medicine (AIEM) Lab, advised by Prof. Rama Chellappa. He obtained his PhD in Computer Science from the Johns Hopkins University and his master’s and bachelor’s degrees in Electrical Engineering from the University of Maryland, College Park. Cheng’s research focuses on 3D computational imaging and its application in the natural and medical image domains. He has published several works in 3D image reconstruction, super-resolution, semantic segmentation, and view synthesis in primer conferences such as CVPR, MICCAI, AAAI, MedIA, MIDL, etc. A common theme in his work is to incorporate imaging physics and domain adaptation techniques to ensure algorithm robustness in non-ideal acquisitions.