Student Support: 15th IEEE International Conference on Automation Science and Engineering (IEEE CASE 2019); Vancouver, Canada; 22-26 August 2019
Student Support: 15th IEEE International Conference on Automation Science and Engineering (IEEE CASE 2019); Vancouver, Canada; 22-26 August 2019
批准号:
1936806
负责人:
Jingshan Li
金额:
$1.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-08-01 至 2020-01-31
中文摘要
该补助金为研究生提供支持,以参加2019年8月在加拿大温哥华举行的IEEE自动化科学与工程国际会议。来自运营工程社区的学生将能够提交论文并参加与他们的研究领域高度相关的许多会议,包括数据科学,故障检测,诊断和故障诊断,自动化系统的建模和仿真,智能工厂,物流和供应链。 参加这次会议将使学生有机会展示他们的工作,并与其他学者互动,以加强学术界和工业基础,以满足自动化科学的关键需求。 通过提供差旅费和生活费,该奖项将有助于消除出席障碍,并扩大工程领域代表性不足的社区的参与,从而培养出一批多元化的未来研究人员。IEEE自动化科学与工程国际会议是学术界和从业者应对自动化科学与工程领域挑战和机遇的首要国际会议。 该会议吸引了许多学术工程研究人员,特别是那些解决数据科学关键社会需求以支持自动化制造和物流系统的研究人员。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而被认为值得支持。
英文摘要
This grant provides support for graduate students to participate in the IEEE International Conference on Automation Science and Engineering in Vancouver, Canada, in August 2019. Students from the operations engineering community will be able to present papers and participate in many sessions highly relevant to their research areas, including data science, fault detection, diagnosis and prognostics, modeling and simulation of automated systems, smart factories, logistics and supply chains. Attending this conference will give students the chance to present their work and interact with other scholars to strengthen the academic community and industrial base in addressing critical needs in automation science. By providing travel and subsistence funds, this award will help remove barriers to attendance and broaden participation among underrepresented communities in engineering, thus developing a diverse set of future researchers.The IEEE International Conference on Automation Science and Engineering is the premier international conference for academics and practitioners who are addressing challenges and opportunities in the field of automation science and engineering. The conference attracts many academic engineering researchers, especially those addressing critical societal needs in data science to support automated manufacturing and logistics systems.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.
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会议论文
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