时间：2012年4月30日（周一）上午9:30
地点：成功楼603教室
主讲：日本法政大学 李磊教授
主办：数计学院
专家简介：Professor Lei Li was born in Yancheng, Jiangsu, China on May 1, 1961. He received his Doctor Degree of Science from Xi’an Jiaotong University, China in 1989, and Doctor Degree of Engineering from Tohoku University, Japan in 1994 separately. He studied at Hirosaki University, Japan as a Post Doctoral and Research Assistant from April, 1989 to March 1992.
From April 1992 up to present, he has been on the Faculty of Computer Science and Engineering [1992-1997: Associate Professor, Aomori University, Japan, 1997-2001: Associate Professor, Yamaguchi University, Japan, 1999-2000: Visiting Professor, State University of New York at Stony Brook, 2002-present, Professor, Hosei University, Japan]. His research interest includes the Fast Algorithms, Parallel Algorithms, Genetic Algorithms, Neural Networks, Machine Learning Algorithms, etc.
He has published around 220 papers in refereed journals, conference proceedings and book chapters in these areas. He has been involved in more than 30 conferences and workshops as a program/general/organizing chair. He is serving as the president of International Information Institute in Tokyo Japan. In addition, he is the Editor-in-Chief of Information, An International Interdisciplinary Journal and as an Associate Editor for some other International Journals. He has been acting as an author/co-author or an editor/co-editor of 12 books. He served as Dean of Graduate School of Engineering, Hosei University, Japan, from 2008 to 2009. He received HITACHI TO Software Papers International Award in Sendai, Japan in 1990, Outstanding Leadership Award from the International Conference on Computer Convergence Technology in Seoul, Korea in 2011 and Outstanding Service Award from ACM Research in Applied Computation Symposium in Miami, USA in 2011 separately.
报告摘要：
Design and analysis of algorithms depend on progress and development of computer architecture, and also depend on change of way of thinking. From the serial fast algorithms to parallel algorithms, from genetic algorithms to machine learning algorithms, from evolution computing to soft computing, design method and evaluation standard of algorithms are appearing various directions. We have to answer some questions from a new point of view. What is the algorithm? Does it exist an identical algorithm model to explain all different algorithm architectures? Does it exist an identical evaluation standard to evaluate the computational complexity of all different algorithm architecture? In this talk, we would like to discuss architecture and characteristic of every kind of the algorithm to provide some materials for finding this identical algorithm model and evaluation standard.