加拿大Calgary大学计算机科学系Zongpeng Li(李宗鹏)副教授访问电信系和互联网中心，并将于2012年5月25号（第15周星期五上午）在电信系举行一次学术报告活动，讲座内容为网络编码中的一个新方向——空间网络编码（也称为空间信息流），并探讨发表A类论文的方法。欢迎全校师生踊跃参加。
报告题目：Space Information Flow (空间信息流)
报 告 人：Associate Prof. Zongpeng Li
时 间：2012年5月25日（第15周星期五） 上午10：00-11:30
地 点：电信系会议室（南一楼3楼）
于2005年和2001年分别获得加拿大多伦多大学电子与计算机工程系和计算机科学系的博士和硕士学历/学位，2005年至今为加拿大Calgary大学计算机科学系从事教学和科研。研究领域包括网络编码、多播算法、网络优化、无线网络等。在A类期刊Transaction on Information Theory (TIT)、IEEE/ACM Transaction on Networking (TON)、IEEE Transactions on Parallel and Distributed Systems (TPDS)、IEEE Transactions on Multimedia (TMM) 、IEEE Journal on Selected Areas in Communications (JSAC) 和会议IEEE Infocom等发表论文。
Title: Space Information Flow
Abstract: The main goal of this talk is to introduce a new direction of research, space information flow, which models the optimal design of an information/communication network. In more details, information flows are free to propagate along any trajectories in a geometric space, and may be encoded wherever they meet. The goal is to minimize a natural bandwidth-distance sum-product (network volume), while sustaining end-to-end unicast and multicast communication demands among terminals at known coordinates. We show that the current folklore belief that the minimum-cost design of a communication network can be modeled using minimum Steiner trees is wrong. We then present some preliminary results on space information flow, and point out important open problems for future research.
Brief Bio: Zongpeng Li received his B.E. degree in Computer Science and Technology from Tsinghua University (Beijing) in 1999, his M.S. degree in Computer Science from University of Toronto in 2001, and his Ph.D. degree in Electrical and Computer Engineering from University of Toronto in 2005. Since August 2005, he has been working at the Department of Computer Science in the University of Calgary, where he is currently an Associate Professor. His research interests are in computer networks, particularly in network optimization, multicast algorithm design, network game theory and network coding. Zongpeng was named an Edward S. Rogers Sr. Scholar in 2004, won the Alberta Ingenuity New Faculty Award in 2007, was nominated for the Alfred P. Sloan Research Fellow in 2007, and received the Best Paper Award at the Ninth Passive and Active Measurement Conference (PAM) in 2008.
