REU Site: RE-ICE: Research Experiences in Integrated Computational Entomology

REU 网站:RE-ICE:综合计算昆虫学的研究经验

基本信息

  • 批准号:
    1452367
  • 负责人:
  • 金额:
    $ 38.96万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2015
  • 资助国家:
    美国
  • 起止时间:
    2015-04-01 至 2018-03-31
  • 项目状态:
    已结题

项目摘要

As participants in the University of California-Riverside (UCR) REU Site program, 'Research Experiences in Integrated Computational Entomology,' students engage in full-time research for ten weeks in an active interdisciplinary research community. In addition to immersion into research, students begin the summer with an introduction to the research tools of computer science, engineering and entomology at UCR, where they learn basic skills in computer science, data statistics, and lab/field work in entomology and biology. REU students are mentored by two faculty members, one from the Computer Science Department, and one from the departments of Entomology, Ecology or Biology. The students work on projects that leverage the power of computers to solve problems in entomology. Examples of projects include flying insect classification using images/videos, using sensors to quantify the foraging behavior of bees, and monitoring insect sounds as a measure of biodiversity and the health of the environment.UC Riverside is one of a handful of accredited R1 research-intensive universities in the US designated as Hispanic Serving Institutions, with a student population that includes almost 30% Hispanic and approximately 50% first-generation college students. This REU Site program emphasizes recruitment and retention of underserved minorities, and provides skills in public dissemination of research findings. The project will not only provide STEM research opportunities for ten students each year, but will also promote STEM education throughout communities with low numbers of college-educated scientists and engineers, by training students who will become actively engaged in outreach efforts and serve as role models in these fields.This award is supported by the Advanced Cyberinfrastructure Division within the Directorate for Computer and Information Science and Engineering and the Division of Biological Infrastructure in the Directorate for Biosciences. More information on this project is available at the web site: www.cs.ucr.edu/~eamonn/REU/ .
作为加州大学河滨分校(UCR)REU网站计划“综合计算昆虫学研究经验”的参与者,学生在一个活跃的跨学科研究社区中进行为期十周的全职研究。 除了沉浸在研究中,学生开始夏天介绍计算机科学,工程和昆虫学的研究工具在UCR,在那里他们学习计算机科学,数据统计,昆虫学和生物学实验室/实地工作的基本技能。 REU学生由两名教师指导,一名来自计算机科学系,另一名来自昆虫学,生态学或生物学系。 学生们的工作项目,利用计算机的力量来解决昆虫学的问题。 项目的例子包括使用图像/视频对飞虫进行分类,使用传感器量化蜜蜂的觅食行为,以及监测昆虫的声音作为生物多样性和环境健康的衡量标准。加州大学滨江分校是美国少数几所经认证的R1研究密集型大学之一,被指定为西班牙裔服务机构,学生人口包括近30%的西班牙裔和约50%的第一代大学生。 该REU网站计划强调招聘和保留服务不足的少数民族,并提供在公共传播的研究成果的技能。 该项目不仅将每年为10名学生提供STEM研究机会,还将促进整个社区的STEM教育,因为受过大学教育的科学家和工程师人数很少,通过培训学生谁将成为积极参与外展工作,并作为榜样,在这些领域。这个奖项是由先进的网络基础设施司在计算机和信息科学局的支持,工程和生物科学局生物基础设施司。 关于该项目的更多信息可在以下网站查阅:www.cs.ucr.edu/~eamonn/REU/。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Eamonn Keogh其他文献

Irrevocable-choice algorithms for sampling from a stream
  • DOI:
    10.1007/s10618-016-0472-z
  • 发表时间:
    2016-06-30
  • 期刊:
  • 影响因子:
    4.300
  • 作者:
    Yan Zhu;Eamonn Keogh
  • 通讯作者:
    Eamonn Keogh
Beyond one billion time series: indexing and mining very large time series collections with $$i$$ SAX2+
  • DOI:
    10.1007/s10115-012-0606-6
  • 发表时间:
    2013-02-16
  • 期刊:
  • 影响因子:
    3.100
  • 作者:
    Alessandro Camerra;Jin Shieh;Themis Palpanas;Thanawin Rakthanmanon;Eamonn Keogh
  • 通讯作者:
    Eamonn Keogh
Correction to: Domain agnostic online semantic segmentation for multi-dimensional time series
  • DOI:
    10.1007/s10618-019-00618-2
  • 发表时间:
    2019-02-14
  • 期刊:
  • 影响因子:
    4.300
  • 作者:
    Shaghayegh Gharghabi;Chin-Chia Michael Yeh;Yifei Ding;Wei Ding;Paul Hibbing;Samuel LaMunion;Andrew Kaplan;Scott E. Crouter;Eamonn Keogh
  • 通讯作者:
    Eamonn Keogh
Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases
  • DOI:
    10.1007/pl00011669
  • 发表时间:
    2001-08-01
  • 期刊:
  • 影响因子:
    3.100
  • 作者:
    Eamonn Keogh;Kaushik Chakrabarti;Michael Pazzani;Sharad Mehrotra
  • 通讯作者:
    Sharad Mehrotra
Converting non-parametric distance-based classification to anytime algorithms
  • DOI:
    10.1007/s10044-007-0098-2
  • 发表时间:
    2008-01-12
  • 期刊:
  • 影响因子:
    2.000
  • 作者:
    Xiaopeng Xi;Ken Ueno;Eamonn Keogh;Dah-Jye Lee
  • 通讯作者:
    Dah-Jye Lee

Eamonn Keogh的其他文献

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{{ truncateString('Eamonn Keogh', 18)}}的其他基金

III: Medium: Collaborative Research: Scaling Time Series Analytics to Massive Seismology Datasets
III:媒介:协作研究:将时间序列分析扩展到海量地震数据集
  • 批准号:
    2103976
  • 财政年份:
    2021
  • 资助金额:
    $ 38.96万
  • 项目类别:
    Continuing Grant
Discovery Projects - Grant ID: DP210100072
发现项目 - 拨款 ID:DP210100072
  • 批准号:
    ARC : DP210100072
  • 财政年份:
    2021
  • 资助金额:
    $ 38.96万
  • 项目类别:
    Discovery Projects
NRT-DESE: NRT in Integrated Computational Entomology (NICE)
NRT-DESE:综合计算昆虫学 (NICE) 中的 NRT
  • 批准号:
    1631776
  • 财政年份:
    2016
  • 资助金额:
    $ 38.96万
  • 项目类别:
    Standard Grant
RI: Medium: Machine Learning for Agricultural and Medical Entomology
RI:媒介:农业和医学昆虫学的机器学习
  • 批准号:
    1510741
  • 财政年份:
    2015
  • 资助金额:
    $ 38.96万
  • 项目类别:
    Standard Grant
III: Medium: Hardware/Software Accelerated Data Mining for Real-Time Monitoring of Streaming Pediatric ICU Data
III:媒介:用于实时监控流式儿科 ICU 数据的硬件/软件加速数据挖掘
  • 批准号:
    1161997
  • 财政年份:
    2012
  • 资助金额:
    $ 38.96万
  • 项目类别:
    Continuing Grant
Tools to Mine and Index Trajectories of Physical Artifacts
挖掘和索引物理文物轨迹的工具
  • 批准号:
    0803410
  • 财政年份:
    2008
  • 资助金额:
    $ 38.96万
  • 项目类别:
    Continuing Grant
III-CXT-Large: Collaborative Research: Interactive and intelligent searching of biological images by query and network navigation with learning capabilities
III-CXT-Large:协作研究:通过具有学习能力的查询和网络导航对生物图像进行交互式和智能搜索
  • 批准号:
    0808770
  • 财政年份:
    2008
  • 资助金额:
    $ 38.96万
  • 项目类别:
    Standard Grant
CAREER: Efficient Discovery of Previously Unknown Patterns and Relationships in Massive Time Series Databases
职业:在海量时间序列数据库中有效发现以前未知的模式和关系
  • 批准号:
    0237918
  • 财政年份:
    2003
  • 资助金额:
    $ 38.96万
  • 项目类别:
    Continuing Grant

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