Assistant Professor of Computer Science Dr. Geng Yuan’s research interests are in AI systems, including energy-efficient deep learning with embedded systems, efficient training, model compression, hardware-software co-design for DNN architectures, and emerging deep learning systems (e.g., Superconducting, ReRAM). His research work has been published broadly in top conference venues, such as NeurIPS, CVPR, ICML, ICLR, ISCA, MICRO, DAC, etc, ranging from machine learning algorithm conferences, architecture and computer system conferences, and EDA, solid-state circuit and system conferences. His work won one Best Paper Award (ICLR Workshop’21), two Spotlight Paper Awards (ICLR'23, NeurIPS’21), one Design Contest 1st Place Winner (ISLPED’20), two Best Paper Nominations (DATE’21, ISQED’18). Education Education: Ph.D. in Electrical and Computer Engineering, Northeastern University, 2023
