Prof. Raymond Yeung is a leading figure in the Information Theory community. He is a cofounder of the field of Network Coding, which has had a great impact in a variety of practical scenarios such as data storage and network communications. He has served as a co-director of the Institute of Network Coding, an institute that explores and utilises the promises of network coding in practical scenarios. He (along with Prof. Zhen Zhang at the University of Southern California) discovered a new family of information inequalities called non-Shannon type inequalities. These inequalities have inspired several follow-on works and continues to be an active area of research.
He is the author of the books A First Course in Information Theory (Kluwer Academic/Plenum Publishers, 2002) and Information Theory and Network Coding (Springer 2008). He received the 2005 IEEE Information Theory Society best paper award for the paper titled ‘Linear Network Coding’ as well as the best paper award at the 2004 International Conference on Communications, Circuits and System.
His current research at CUHK focuses on applying information theory and network coding ideas to develop better codes and in the process invented BATched Sparse code (BATS code) that improve the network transmission rate of networks with packet loss.
The Claude E. Shannon Award is the highest honor from the IEEE Information Theory Society. The award recognizes consistent and profound contributions to the field of information theory. We proudly congratulate Prof. Yeung for this very well deserved recognition. He will be the Shannon Lecturer at the 2022 IEEE International Symposium on Information Theory in Espoo, Finland.
For further details, please check: https://www.itsoc.org/news/yeung-named-2022-claude-e-shannon-award-winner