Student Support: 18th IEEE International Conference on eScience

学生支持:第 18 届 IEEE 国际电子科学会议

基本信息

  • 批准号:
    2219510
  • 负责人:
  • 金额:
    $ 1.5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-09-01 至 2023-08-31
  • 项目状态:
    已结题

项目摘要

The eScience 2022 Conference is a premier international conference for presenting research results, problem solutions, and insights on new challenges in data analytics and large-scale simulation and scientific discovery in general and distributed infrastructures more specifically. The conference brings together researchers, developers and users from academia, industry, laboratories, and commerce to discuss recent advances and trends in many areas related to data analytics and distributed infrastructures. The conference will be held in Salt Lake City, Utah, from October 11-14, 2022. The project will fund students to participate in the conference, to engage deeply with the eScience research community. The eScience student participation program provides a comprehensive means for students to improve their overall research skills and career planning efforts, beyond presenting posters and papers. The project serves the national interest, as stated by NSF's mission, to promote the progress of science as it provides a forum to disseminate research efforts, connect researchers, and train the next generation of scholars.The student program committee for the conference is recruiting students with an emphasis on diversity and inclusion of underrepresented groups and from a diverse set of institutions, with special emphasis on students from the southwestern mountain states of the U.S. that have computer science and engineering programs. The conference will run specific student-centric sessions during the conference, including sessions on research presentation training, research career guidance, industry interaction, and a discussion with the authors of the best paper candidates from the conference. While the project will enable funding a significant fraction of the students attending the conference, some students are presenting papers and posters at the conference and will be given priority for funding. The funding provided by NSF will have a significant impact on the careers of the future generation of researchers in data analytics and distributed infrastructures, while encouraging diversity in the field.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
eScience 2022会议是一个重要的国际会议,旨在展示研究成果,问题解决方案以及对数据分析和大规模模拟以及一般和分布式基础设施中的科学发现的新挑战的见解。会议汇集了来自学术界、工业界、实验室和商业界的研究人员、开发人员和用户,讨论与数据分析和分布式基础设施相关的许多领域的最新进展和趋势。 会议将于2022年10月11日至14日在犹他州湖城举行。该项目将资助学生参加会议,深入参与eScience研究社区。 eScience学生参与计划为学生提供了一个全面的手段,以提高他们的整体研究技能和职业规划的努力,超越展示海报和论文。 正如NSF的使命所述,该项目服务于国家利益,促进科学的进步,因为它提供了一个论坛,以传播研究成果,连接研究人员,并培养下一代学者。会议的学生计划委员会正在招募学生,强调多样性和包容性的代表性不足的群体,并从不同的机构,特别强调来自美国西南部山区的学生,他们有计算机科学和工程专业。 会议将在会议期间举办以学生为中心的具体会议,包括研究演示培训,研究职业指导,行业互动以及与会议最佳论文候选人作者的讨论。 虽然该项目将使出席会议的学生的很大一部分资金,一些学生在会议上提交论文和海报,并将优先获得资金。 NSF提供的资金将对未来一代数据分析和分布式基础设施研究人员的职业生涯产生重大影响,同时鼓励该领域的多样性。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。

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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Bao Wang其他文献

Facile fabrication of hollow CuO nanocubes for enhanced lithium/sodium storage performance
轻松制造空心 CuO 纳米立方体以增强锂/钠存储性能
  • DOI:
    10.1039/d1ce00704a
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    3.1
  • 作者:
    Jie Zhao;Yuyan Zhao;Wen-Ce Yue;Shu-Min Zheng;Xue Li;Ning Gao;Ting Zhu;Yu-Jiao Zhang;Guang-Ming Xia;Bao Wang
  • 通讯作者:
    Bao Wang
Effect of Municipal Solid Waste Incineration Fly Ash Leachate on the Hydraulic Performance of a Geosynthetic Clay Liner
城市生活垃圾焚烧飞灰渗滤液对土工合成粘土衬垫水力性能的影响
Study on the startup characteristics of the methanogenic UASB reactor under acid condition at pH5.5
pH5.5酸性条件下产甲烷UASB反应器启动特性研究
  • DOI:
  • 发表时间:
    2013
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Bao Wang;Jie Ding;Hongjian Liu;Chunmiao Liu;Wangbin Cheng;Luyan Zhang;Xianshu Liu;Nanqi Ren
  • 通讯作者:
    Nanqi Ren
The influence of wind turbine blade rotation on anemometer
风力机叶片旋转对风速计的影响
  • DOI:
    10.1088/1742-6596/2280/1/012008
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Yaqiang Zhou;Lizhu Tian;Zhiwen Jiang;Yapeng Li;Zhaohe Wu;Chenglong Qi;Y. Gou;Yonghe Xu;Dayu Du;Bao Wang;Yuan Wu;W. Feng;Peng Li
  • 通讯作者:
    Peng Li
Heterogeneous Nucleation in Semicrystalline Polymers
  • DOI:
    10.15167/wang-bao_phd2020-03-20
  • 发表时间:
    2020-03
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Bao Wang
  • 通讯作者:
    Bao Wang

Bao Wang的其他文献

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{{ truncateString('Bao Wang', 18)}}的其他基金

Collaborative Research: ATD: Fast Algorithms and Novel Continuous-depth Graph Neural Networks for Threat Detection
合作研究:ATD:用于威胁检测的快速算法和新颖的连续深度图神经网络
  • 批准号:
    2219956
  • 财政年份:
    2023
  • 资助金额:
    $ 1.5万
  • 项目类别:
    Standard Grant
Collaborative Research: Differential Equations Motivated Multi-Agent Sequential Deep Learning: Algorithms, Theory, and Validation
协作研究:微分方程驱动的多智能体序列深度学习:算法、理论和验证
  • 批准号:
    2152762
  • 财政年份:
    2022
  • 资助金额:
    $ 1.5万
  • 项目类别:
    Standard Grant
Collaborative Research: Algorithms, Theory, and Validation of Deep Graph Learning with Limited Supervision: A Continuous Perspective
协作研究:有限监督下的深度图学习的算法、理论和验证:连续的视角
  • 批准号:
    2208361
  • 财政年份:
    2022
  • 资助金额:
    $ 1.5万
  • 项目类别:
    Continuing Grant
Collaborative Research: ATD: Robust, Accurate and Efficient Graph-Structured RNN for Spatio-Temporal Forecasting and Anomaly Detection
合作研究:ATD:用于时空预测和异常检测的鲁棒、准确和高效的图结构 RNN
  • 批准号:
    2110145
  • 财政年份:
    2021
  • 资助金额:
    $ 1.5万
  • 项目类别:
    Standard Grant
Collaborative Research: ATD: Robust, Accurate and Efficient Graph-Structured RNN for Spatio-Temporal Forecasting and Anomaly Detection
合作研究:ATD:用于时空预测和异常检测的鲁棒、准确和高效的图结构 RNN
  • 批准号:
    1924935
  • 财政年份:
    2019
  • 资助金额:
    $ 1.5万
  • 项目类别:
    Standard Grant

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