Research and Educational Activities at IEEE International Conference on Data Engineering (ICDE) 2020

2020 年 IEEE 国际数据工程会议 (ICDE) 的研究和教育活动

基本信息

  • 批准号:
    2019682
  • 负责人:
  • 金额:
    $ 2.5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-04-01 至 2023-03-31
  • 项目状态:
    已结题

项目摘要

The IEEE International Conference on Data Engineering (ICDE) addresses research issues in designing, building, managing, and evaluating advanced data-intensive systems and applications. It is a leading forum for researchers, practitioners, developers, and users to explore cutting-edge ideas and to exchange techniques, tools, and experiences. The 36th ICDE will be held in Dallas Texas, April 20-24, 2020. This award enables diverse US students to participate in ICDE-2020, provides opportunities to the students to interact with other attendees and attend the educational events being offered. The students' participation in ICDE-2020 is important to the students research training and will develop the future generation of leaders and workforce in the increasingly critical data management field. The supported students will have opportunities to showcase their research results, learn about the cutting edge research conducted by others, and interact with experts at a premier data engineering conference. ICDE-2020 includes a comprehensive program including research papers presentations, tutorials, panels, industrial papers, and technical demonstrations that provide a platform for exchange of research results and ideas, interaction and education. The program also includes workshops that demand dedicated coverage due to their relevance to the current data management research and development, industrial exhibits, and keynote talks by leaders in academia and industry. The students will also have an opportunity to participate in a PhD Symposium, which provides a forum for PhD students to present their research ideas, and interact with and receive feedback from senior members of the research community in academia and industry. The focus of the PhD Symposium is on mentorship and providing constructive feedback to the students. These opportunities will have a long lasting impact on the future career of the participants.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.
IEEE数据工程国际会议(ICDE)讨论设计、构建、管理和评估高级数据密集型系统和应用的研究问题。它是研究人员、实践者、开发人员和用户探索前沿思想和交流技术、工具和经验的主要论坛。第36届ICDE将于2020年4月20日至24日在德克萨斯州达拉斯举行。该奖项使不同的美国学生能够参加ICDE-2020,为学生提供与其他与会者互动的机会,并参加所提供的教育活动。学生参加ICDE-2020对学生的研究训练非常重要,并将在日益关键的数据管理领域培养下一代领导者和劳动力。获得资助的学生将有机会展示他们的研究成果,了解其他人进行的前沿研究,并在重要的数据工程会议上与专家互动。ICDE-2020包括一个全面的计划,包括研究论文演讲、教程、小组讨论、工业论文和技术演示,为研究成果和想法的交流、互动和教育提供了一个平台。该计划还包括需要专门报道的研讨会,因为它们与当前的数据管理研究和开发有关,工业展览,以及学术界和工业界领导人的主题演讲。学生还将有机会参加博士研讨会,该研讨会为博士生提供了一个展示他们研究想法的论坛,并与学术界和产业界的资深研究人员互动并获得反馈。博士研讨会的重点是指导和为学生提供建设性的反馈。这些机会将对参与者未来的职业生涯产生深远的影响。该奖项反映了美国国家科学基金会的法定使命,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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Latifur Khan其他文献

A study of the model and algorithms for handling location-dependent continuous queries
  • DOI:
    10.1007/s10115-005-0196-7
  • 发表时间:
    2005-04-20
  • 期刊:
  • 影响因子:
    3.100
  • 作者:
    Manish Gupta;Manghui Tu;Latifur Khan;Farokh Bastani;I-Ling Yen
  • 通讯作者:
    I-Ling Yen
無線アドホック連合学習 ~ 完全分散型の協調的機械学習 ~
无线临时联邦学习 - 全分布式协作机器学习 -
  • DOI:
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Hossain Md Delwar;Hideya Ochiai;Latifur Khan;Youki Kadobayashi;落合秀也
  • 通讯作者:
    落合秀也
Wi-Fiの信号強度を用いた自律分散強調学習による広域自己位置推定
使用 Wi-Fi 信号强度的自主分布式重点学习进行广域自身位置估计
  • DOI:
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Sadaf MD Halim;Muhammad Delwar Hossain;Latifur Khan;Hideya Ochiai;Hiroyuki Inoue;Kevin W. Hamlen;Anoop Singhal;Youki Kadobayashi;鈴木健吾・落合秀也・江崎 浩;杉崎勇介・落合秀也・江崎 浩
  • 通讯作者:
    杉崎勇介・落合秀也・江崎 浩
Wireless Ad-Hoc Federated Learningにおける前方誤り訂正による機械学習モデルの交換手法
无线自组织联合学习中使用前向纠错的机器学习模型交换方法
  • DOI:
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Sadaf MD Halim;Muhammad Delwar Hossain;Latifur Khan;Hideya Ochiai;Hiroyuki Inoue;Kevin W. Hamlen;Anoop Singhal;Youki Kadobayashi;鈴木健吾・落合秀也・江崎 浩;杉崎勇介・落合秀也・江崎 浩;伊藤吉彦・落合秀也・江崎 浩;江口航志・落合秀也・江崎 浩;長屋健太郎・落合秀也・江崎 浩
  • 通讯作者:
    長屋健太郎・落合秀也・江崎 浩
Ontology based policy interoperability in geo-spatial domain
  • DOI:
    10.1016/j.csi.2010.03.011
  • 发表时间:
    2011-03-01
  • 期刊:
  • 影响因子:
  • 作者:
    Mohammad Farhan Husain;Tahseen Al-Khateeb;Mohmmad Alam;Latifur Khan
  • 通讯作者:
    Latifur Khan

Latifur Khan的其他文献

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{{ truncateString('Latifur Khan', 18)}}的其他基金

Collaborative Research: EAGER: SaTC-EDU: Secure and Privacy-Preserving Adaptive Artificial Intelligence Curriculum Development for Cybersecurity
合作研究:EAGER:SaTC-EDU:安全和隐私保护的网络安全自适应人工智能课程开发
  • 批准号:
    2039542
  • 财政年份:
    2020
  • 资助金额:
    $ 2.5万
  • 项目类别:
    Standard Grant
SATC: EDU: Curriculum Development for Secure Blockchain Technologies
SATC:EDU:安全区块链技术课程开发
  • 批准号:
    1931800
  • 财政年份:
    2020
  • 资助金额:
    $ 2.5万
  • 项目类别:
    Standard Grant
Collaborative Research: ATD: Statistical Detection of New Patterns and Potential Threats in Geospatial Sequences of Social and Political Events
合作研究:ATD:社会和政治事件地理空间序列中新模式和潜在威胁的统计检测
  • 批准号:
    1737978
  • 财政年份:
    2017
  • 资助金额:
    $ 2.5万
  • 项目类别:
    Standard Grant
Virtual Laboratory and Curriculum Development for Secure Mobile Computing
安全移动计算的虚拟实验室和课程开发
  • 批准号:
    1516425
  • 财政年份:
    2015
  • 资助金额:
    $ 2.5万
  • 项目类别:
    Standard Grant
MRI: Development of an Instrument for Assured Cloud Computing
MRI:开发有保障的云计算仪器
  • 批准号:
    1229652
  • 财政年份:
    2012
  • 资助金额:
    $ 2.5万
  • 项目类别:
    Standard Grant
Travel Grant for International Symposium on Spatial and Temporal Databases (SSTD), 2011
时空数据库国际研讨会 (SSTD) 旅费资助,2011
  • 批准号:
    1133452
  • 财政年份:
    2011
  • 资助金额:
    $ 2.5万
  • 项目类别:
    Standard Grant

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