2012年7月19日，美国雪城大学电子工程和计算机科学系陈彪教授应邀访问我校。上午10:00，由电子工程与信息科学系刘斌副教授主持，陈彪教授在西区电三楼314会议室做了一场题为“Sufficiency Principle for Decentralized Data Reduction”的学术报告。

　　陈彪教授在报告中首先介绍了适用于分布式推理系统数据压缩的充分性原则。然后针对分布式推理系统中并联和串联网络结构、分散节点之间的条件独立以及局部充分统计和全局充分统计等问题做了深入浅出的讲解。最后讨论了充分性原则和分布式信源编码之间的关系。在报告的过程中，气氛非常活跃，大家纷纷提出问题，陈彪教授都一一进行了针对性的回答。

Prof. Biao Chen简介：

　　Biao Chen received the B.E. and M.E. degrees in electrical engineering from Tsinghua University, Beijing, China, in 1992 and 1994, respectively. He joined the University of Connecticut, Storrs, CT, in 1995, where he received the M.S. degree in statistics and the Ph.D. degree in electrical engineering, in 1998 and 1999, respectively.

　　From 1994 to 1995, he worked at AT&T (China) Inc., Beijing, China. From 1999 to 2000, he was with Cornell University, Ithaca, NY, as a Postdoctoral Associate. Since 2000, he has been with Syracuse University, Syracuse, NY, where he is currently a Professor in the Department of Electrical Engineering and Computer Science. His area of interest mainly focuses on statistical signal processing and information theory for wireless networks and multiuser multiple-input multiple-output systems.

　　Prof. Chen has served as Area Editor for the IEEE Transactions on Signal Processing, Associate Editor for the IEEE Communications Letters, the IEEE Transactions on Signal Processing, and the EURASIP Journal on Wireless Communications and Networking (JWCN). He is an elected member of the IEEE Signal Processing Society Sensor Array and Multi-Channel Signal Processing Technical Committee. He is the recipient of an NSF CAREER Award in 2006.