- IEEE Eric E. Sumner Award
En-Hui Yang’s fundamental source coding theory and state-of-the-art compression algorithms for text, images, and video have impacted anyone who has used a smart phone. Yang is a co-developer of the YK (Yang-Kieffer) grammar-based universal lossless source coding schemes that have greatly impacted data compression for text and form the foundation for Web-acceleration technology. He also optimized the encoding used in the JPEG image compression standard and developed theories of soft decision quantization and causal video coding that have been included in the reference software of the H.264/H.265 video coding standards and popular open-source video-coding applications. His image and video coding algorithms can be found in practically all communications and computing devices powered by Android 4.0 and higher.
An IEEE Fellow, FRSC, and FCAE, Yang is a professor and Canada Research Chair with the Department of Electrical and Computer Engineering at the University of Waterloo, Waterloo, Ontario, Canada.