报告题目：Introduction to Information Theory
报 告 人：韩光跃教授（香港大学）
Information theory is a branch of applied mathematics and electrical engineering involving the quantification of information. Historically, information theory was developed by Claude E. Shannon to find fundamental limits on signal processing operations such as compressing data and on reliably storing and communicating data. Since its inception it has broadened to find applications in many other areas, including statistical inference, artificial intelligence, cryptography, biology, statistical physics, quantum computing, computational complexity, data analysis and so on. This talk is to give a brief introduction to this rapidly developing theory.
Guangyue Han received the B.S. and M.S. degrees in mathematics from Peking University, China, and the Ph.D. degree in mathematics from the University of Notre Dame, U.S.A. in 1997, 2000 and 2004, respectively. After three years with the department of mathematics at the University of British Columbia, Canada, he joined the department of mathematics at the University of Hong Kong, China in 2007. His main research areas are coding and information theory, cryptography and their applications.