Cheng Peng

Cheng Peng is an assistant professor of data science at the University of Virginia. His work focuses on enabling machines to perceive and understand the world through images and videos, particularly in unconstrained and high-stake scenarios related to health, national security, etc. Peng's research has been frequently published at major peer-reviewed venues around Computer Vision, Machine Learning, and Medical Image Analysis (i.e., CVPR, ECCV, ICCV, NIPS, ICLR, MICCAI). His ongoing research topics are on 3D/4D reconstruction, generative modeling, Vision-Language understanding.

Prior to joining UVA, Peng was an Assistant Research Professor at The Johns Hopkins Mathematical Institute for Data Science. He holds a Ph.D. in Computer Science from Johns Hopkins University and an M.S/B.S. in Electrical and Computer Engineering from the University of Maryland.