Song Han is an assistant professor in the EECS Department of Massachusetts Institute of Technology (MIT). Dr. Han received the Ph.D. degree in Electrical Engineering from Stanford advised by Prof. Bill Dally. Dr. Han's research focuses on energy-efficient deep learning. His work on deep learning model compression and hardware acceleration received the best paper award in ICLR'16 and FPGA’17. These technologies led to a startup, DeePhi Tech, that he co-founded providing efficient deep learning computing solutions.