·128. 智能系统学报 第7卷 童开国，男，1985年生，硕士研究 张毅，男，1966年生，教授，博士生导 生，主要研究方向为语音识别与智能机 师，博士后，近年来承担了科技部国际合 器人，发表学术论文4篇. 作项目、人事部留学人员科技活动项目 择优资助重点项目以及重庆市科技攻关 项目“轮椅式机器人导航与控制系统研 发”课题；国际期刊nternational Joural of Modelling,Identification and Control International Journal of Automation and Computing Interational Journal of Advanced Mechatronic Systems关于智能系统及机器人专刊的编委， 2013年计算科学与工程会议 SIAM Conference on Computational Science Engineering CSE13) Computational Science and Engineering (CS&E)is now widely accepted,along with theory and experiment, as the critical third pillar of scientific discovery.It is indispensable for leading edge investigation and engineering design in a vast number of industrial sectors,including for example,aerospace,automotive,biological chemical, and semiconductor technologies that all rely increasingly on advanced modeling and simulation.CS&E has also be- come essential at government agencies for informing policy and decisions relating to human health,resources,trans- portation,and defense.Finally,in many new areas such as medicine,the life sciences,management and market- ing (e.g.data-and stream mining),and finance,techniques and algorithms from CS&E are of growing impor- tance. CS&E is by nature interdisciplinary.Its goals concern understanding and analyzing complex systems,predicting their behavior,and eventually optimizing processes and designs.CS&E thus grows out of physical applications, while depending on computer architecture,and having at its core powerful algorithms.At the frontiers of CS&E there remain many open problems and challenges,including for example,the validation and verification of compu- tational models especially in the presence of uncertainties and the analysis and assimilation of very large data sets, including techniques for visualization and animation. The SIAM CS&E conference seeks to enable in-depth technical discussions on a wide variety of major computational efforts on large problems in science and engineering,foster the interdisciplinary culture required to meet these large-scale challenges,and promote the training of the next generation of computational scientists. Themes Multiphysics and Multiscale Computations Identification,Design,and Control Surrogate and Reduced-order Modeling Verification,Validation,Uncertainty Quantification Discrete Simulations Scientific Data Mining Scalable Algorithms for Big Data Simulations on Emerging Architectures Exascale Challenges Scientific Software and High-Performance Computing Applications in Science,Engineering,and Industry Computational Mathematics of Planet Earth CSE Education Website:http://www.siam.org/meetings/cse13/