Workshop on Big Data: From Signal Processing to Systems Engineering; to be held at Arlington Virginia, March 21-22, 2013.
Workshop on Big Data: From Signal Processing to Systems Engineering; to be held at Arlington Virginia, March 21-22, 2013.
批准号:
1327148
负责人:
Nikolaos Sidiropoulos
金额:
$5.0万
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
项目状态:
已结题
起止时间:
2013-02-15 至 2014-01-31
中文摘要
白宫在2012年宣布了“大数据倡议”,旨在动员研发企业进行大数据分析,以解决美国面临的一些最紧迫的挑战。信号处理和系统工程社区可以成为大数据研究和发展的重要贡献者,在这个方向上补充基于计算机和信息科学的努力。认识到这些社区参与的必要性,本次研讨会旨在汇集来自不同领域的专家,共同探讨分析和实验工程在大数据研究和发展中所扮演的角色。这样的研讨会在强调大数据的信号分析和系统工程方面将是独一无二的。时间至关重要,因为前提是参与工程界并帮助塑造未来几年的研究方向。智力优势:研讨会将讨论工程学科中大数据分析的关键问题。感兴趣的主题包括建立在信号和系统结构之上的多维信号分析,系统工程肯定会在设计和部署这种大型、分布式、容错系统中发挥重要作用。更广泛的影响:本次研讨会将帮助工程学科参与大数据研究和开发。研讨会的讨论成果将对数据驱动的信息时代大型工程项目的研发,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。
英文摘要
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.
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