I/UCRC: Phase II: Center for Advanced Knowledge Enablement
I/UCRC: Phase II: Center for Advanced Knowledge Enablement
批准号:
1338922
负责人:
Naphtali Rishe
金额:
$37.88万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-10-01 至 2022-09-30
中文摘要
项目主任建议1338922佛罗里达国际大学(FIU); Rishe该提案要求为佛罗里达国际大学(FIU)提供第二阶段资金,以保持其在高级知识促进中心(CAKE)的活跃地位。CAKE的FIU是牵头机构,而佛罗里达大西洋大学(FAU)是“合作伙伴”网站。I/UCRC CAKE的教师将开展性能研究,基准评估以及将新算法,例程,数据模型,网络分析和软件工具应用于大规模数据集的研究。这项研究将由佛罗里达国际大学(FIU)的教师以及I/UCRC CAKE正在进行的附属网站进行,他们正在调查数据管理和搜索科学的广泛方面。该中心将继续在行政上设在金融情报大学,预计将扩大到包括其他国内外大学伙伴。该中心提出的研究解决了跨科学领域和垂直市场的挑战,因为许多行业由于产生的数据的大量涌入而面临生存问题。该中心以多种方式扩大代表性不足群体的参与。调查人员将利用他们的跟踪记录,涉及FIU的主要是西班牙裔学生人口的研究与计划,如“亲和团体”,使研究生和本科生进行的研究与其他学生分享;该中心将扩大辅导和毕业的机会计算机科学家从代表性不足的人口在BS,MS和博士水平。随着I/UCRC CAKE的不断发展,该中心将建立一个跨越多个机构的有凝聚力的结构,部分是通过在合作伙伴网站为教师和博士生提供扩展的研究访问。该中心计划将其他美国大学和国际合作纳入其拉丁美洲电网项目的框架,现有的NSF PIRE以及与欧洲和亚洲大学的其他工作。
英文摘要
Program Director's Recommendation 1338922 Florida International (FIU); Rishe The proposal requests Phase II funding for the Florida International University (FIU) to remain as an active site in the Center for Advanced Knowledge Enablement (CAKE). FIU at CAKE is the lead institution while Florida Atlantic University (FAU) Is a "Partner" site. The faculty of the I/UCRC CAKE will carry out research in performance studies, benchmark evaluations, and the application of novel algorithms, routines, data models, network analyses and software tools to large-scale data sets. The research will be conducted by faculty at Florida International University (FIU), as well as the I/UCRC CAKE's ongoing affiliated sites, who are investigating a broad range of aspects of the science of data management and search. The Center, which will continue to be administratively hosted at FIU, expects to grow to include other domestic and foreign university partners. The research proposed by the Center addresses challenges that cross scientific domains and vertical markets, as many industries are facing existential problems due to the sheer influx of data generated. The Center broadens participation of underrepresented groups in several ways. The investigators will Leverage their track record of involving FIU's predominantly Hispanic student population in research with programs such as 'affinity groups' that enable research performed by the graduate and undergraduate students to be shared with other students; the Center will expand opportunities of mentoring and graduating computer scientists from under-represented populations at the BS, MS, and PhD levels. As the I/UCRC CAKE continues to grow, the center will build a cohesive structure spanning multiple institutions, in part by enabling extended research visits at partner sites for faculty and doctoral students. The Center plans to include other US universities and international collaboration in the framework of its Latin American Grid Project, an existing NSF PIRE, and other work with European and Asian universities.
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Inverse Distance Weighted Random Forests: Modeling Unevenly Distributed Non-Stationary Geographic Data
反距离加权随机森林:对不均匀分布的非平稳地理数据进行建模
DOI:
10.1109/icacsis51025.2020.9263208
发表时间:
2020
期刊:
2020 International Conference on Advanced Computer Science and Information Systems (ICACSIS
影响因子:
--
作者:
[Deng, Liangdong, Adjouadi, Malek, Rishe, Naphtali]
通讯作者:
Rishe, Naphtali
DOI:
10.1109/access.2021.3092997
发表时间:
2021
期刊:
IEEE Access
影响因子:
3.9
作者:
[M. Masouleh;A. K. Behbahani;M. Adjouadi]
通讯作者:
M. Masouleh;A. K. Behbahani;M. Adjouadi
DOI:
10.1049/iet-ipr.2019.0931
发表时间:
2020-12-15
期刊:
IET IMAGE PROCESSING
影响因子:
2.3
作者:
[Mafi, Mehdi, Izquierdo, Walter, Adjouadi, Malek]
通讯作者:
Adjouadi, Malek
DOI:
10.1109/csci51800.2020.00147
发表时间:
2020-12
期刊:
2020 International Conference on Computational Science and Computational Intelligence (CSCI)
影响因子:
--
作者:
[Harold Martin;Walter Izquierdo;Ulyana Morar;M. Cabrerizo;A. Cabrera;M. Adjouadi]
通讯作者:
Harold Martin;Walter Izquierdo;Ulyana Morar;M. Cabrerizo;A. Cabrera;M. Adjouadi
Geographic Boosting Tree: Modeling Non-Stationary Spatial Data
地理提升树:非平稳空间数据建模
DOI:
10.1109/icmla51294.2020.00190
发表时间:
2020
期刊:
2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA
影响因子:
--
作者:
[Deng, Liangdong, Adjouadi, Malek, Rishe, Naphtali]
通讯作者:
Rishe, Naphtali
共 7 条
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TIE: UF-FIU inter-I/UCRC collaboration to explore autonomic computing for the TerraFly server system
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