Xiaoxuan Yang

About

Xiaoxuan Yang’s research focuses on emerging nonvolatile memory technologies, robustness and reliability enhancement in processing-in-memory designs, and hardware accelerators for deep learning applications. Xiaoxuan Yang is a rising scholar research scientist in the Department of Electrical and Computer Engineering and an incoming assistant professor in the same department starting Fall 2024. She is a postdoctoral researcher in the Robust Systems Group at Stanford University. She received her Ph.D. degree in Electrical and Computer Engineering from Duke University, M.S. degree in Electrical Engineering from the University of California, Los Angeles (UCLA), and B.S. degree in Electrical Engineering from Tsinghua University. Her research work won Third Place of ACM Student Research Competition SRC at International Conference on Computer-Aided Design (ICCAD) and Best Research Award at ACM SIGDA Ph.D. Forum at Design Automation Conference (DAC). She has been selected as a Rising Star in EECS and an NSF iREDEFINE Fellow.