Yu Sun is an assistant professor of Electrical and Computer Engineering at Johns Hopkins University. He holds a joint appointment at the Data Science and Artificial Intelligence (DSAI) Institute.
Sun’s research focuses on developing advanced algorithms and mathematical foundations for computational imaging. By integrating techniques from machine learning, computer vision, optimization, probability theory, and physics, he aims to create a comprehensive framework for reliably and interpretably incorporating artificial intelligence (AI) into imaging systems, thereby unlocking novel capabilities that surpass the limitations of traditional methods.
Before joining Johns Hopkins, Sun was a postdoctoral fellow in the Department of Computing and Mathematical Sciences at the California Institute of Technology (Caltech). He earned his BEng in electronics and iinformation from Sichuan University in 2015 and his PhD in computer science from Washington University in St. Louis in 2022. His doctoral dissertation was awarded the Turner Dissertation Award for its contributions to computational imaging and machine learning.
Sun is a member of the Institute of Electrical and Electronics Engineers (IEEE), where he actively serves on the IEEE Signal Processing Society’s Computational Imaging Technical Committee. Additionally, he is a consultant associate editor for the IEEE Open Journal of Signal Processing.