Workshop on Big Data: From Signal Processing to Systems Engineering; to be held at Arlington Virginia, March 21-22, 2013.

大数据研讨会：从信号处理到系统工程；

• 批准号: 1327148
• 负责人: Nikolaos Sidiropoulos
• 金额: $ 5万
• 依托单位: University of Minnesota-Twin Cities
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-02-15 至 2014-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1327148&HistoricalAwards=false
• 关键词: Workshop; Big; Data; Signal; Processing

The White House announced in 2012 the Big Data Initiative to mobilize the research and development enterprise towards Big Data analytics for solving some of the nation's most pressing challenges. Signal processing and systems engineering communities can be important contributors to Big Data research and development, complementing computer and information science-based efforts in this direction. Recognizing the need to engage these communities, this workshop aims to bring together experts from various fields to carve out the role that analytical and experimental engineering has to play in Big Data research and development. Such a workshop will be unique in emphasizing signal analytics and systems engineering aspects of Big Data. Time is of essence, as the premise is to engage the engineering community and help shape up research directions for the next few years.Intellectual Merit: The workshop will address key questions in big data analytics in engineering disciplines. Topics of interest include multidimensional signal analytics that build upon a signals and systems fabric, and systems engineering is sure to play an important role in designing and deploying such large, distributed, fault-tolerant systems. Broader Impacts:This workshop will help engage engineering disciplines in Big Data research and development. The discussion results from the workshop will have significant impact on the research and development for big-scale engineering projects in the data-driven information age, as well as the training and education for future engineers. The workshop report will provide a useful resource for the scientific community and general public.

白宫在2012年宣布了大数据倡议，旨在动员研究和发展企业朝着大数据分析，以解决一些美国最紧迫的挑战。信号处理和系统工程社区可能是大数据研究和开发的重要贡献者，并在此方向上补充了基于计算机和信息科学的努力。认识到需要吸引这些社区的必要性，该研讨会旨在将各个领域的专家聚集在一起，以发挥分析和实验工程在大数据研究和开发中必须发挥的作用。这样的研讨会将在强调大数据的信号分析和系统工程方面是独一无二的。时间至关重要，因为前提是参与工程社区并帮助塑造未来几年的研究方向。智能优点：研讨会将解决工程学科中的大数据分析中的关键问题。 感兴趣的主题包括基于信号和系统结构的多维信号分析，系统工程肯定会在设计和部署如此大的，分布式，耐故障的系统中发挥重要作用。更广泛的影响：该研讨会将有助于使工程学科参与大数据研究和开发。研讨会的讨论结果将对数据驱动的信息时代的大规模工程项目以及未来工程师的培训和教育产生重大影响。研讨会报告将为科学界和公众提供有用的资源。