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IRES Track I: USA-China: International Research Experience for Native American Students in IoT Enabled Environmental Monitoring Technologies

IRES Track I: USA-China: International Research Experience for Native American Students in IoT Enabled Environmental Monitoring Technologies
IRES 轨道 I:美国-中国:美国原住民学生在物联网环境监测技术方面的国际研究经验
批准号:
1855646
负责人:
Jinhui Wang
金额:
$29.99万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-10-01 至 2023-08-31

项目摘要

项目成果

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中文摘要
翻译
这个IRES项目是由OISE和EPSCoR共同资助的。来自北达科他州五所部落学院的12名美国土著学生将参加为期六周的暑期项目,为期三年。每年,四名学生将组成一个队列,在美国参加预培训,然后在中国北京的主办大学访问和学习五周。所有三个学生群体将专注于一个统一的主题-构建和测试物联网(IoT)环境监测系统。在研究培训期间和项目完成后,将进行深入全面的评估,以评估该计划的三个关键方面:1)教学培训和研究经验,2)全球专业和文化经验; 3)学生指导。该计划将使参与的学生受益匪浅。这是一个国际学习的经验,可能是学生参与者的学术生涯的关键亮点,这可能是真正的美洲原住民学生,因为他们有较少的机会在国外进行研究。该计划将为参与的学生提供独特的机会,成为全球参与的科学家,并建立自己的国际科学网络。北达科他州有五所部落学院,代表着历史上的部落民族。从这些部落学院招聘该计划将确保区域多样化的学生群体将获得国际指导和基于研究的教育。在美国的许多大城市,北京市的环境问题与北京市相似,因此,参与学生所学的监测技术将提供有价值的参考和必要的技术储备。学生们将学习如何设计先进的环境监测系统,该系统集成了能源收集和远程控制,可以跟踪金属、放射性同位素、挥发性有机污染物和生物污染物等四类环境污染物。在该项目中,学生参与者的任务包括传感器开发,接口电路设计,物联网(IoT)启用系统的无线传感器网络设计,以实现环境监测,在实验室和现场测试拟议的监测系统,并进行基于可靠性的寿命分析。该系统是环境决策急需的技术,将有助于大大减少环境问题对生态和人类健康的威胁,实现的原型和测试数据将为其他学术研究人员和工业开发人员提供重要的参考。评估数据的收集将采用定性和定量数据测量相结合的方法,以评估方案的有效性。该方案的主要目标是:1)为学生提供国际工程应用方面的培训和指导,这将对他们的职业和个人生活产生积极影响,2)培养环境监测和保护方面的美洲原住民专家,和3)改善偏远地区的专业环境管理。该奖项反映了NSF的法定使命,并被认为值得支持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。
英文摘要
This IRES project is co-funded by OISE and EPSCoR.Twelve Native American students from five Tribal Colleges in the state of North Dakota will participate in a six-week summer program over the course of three years. Each year, four students will form a cohort and participate in pre-training in the U.S. and then visit and study at the host University in Beijing, China for five weeks. All three student cohorts will focus on one unifying topic - building and testing an Internet of Things (IoT)-enabled environmental monitoring system. During the course of the research training and after the project is finished, a deep and comprehensive evaluation will be conducted to assess three key aspects of the program: 1) instructional training and research experience, 2) global professional and cultural experience; and 3) student mentoring. This program will greatly benefit participating students. This is an international learning experience that may be the key highlight of student participants' academic careers, which may be especially true for Native American students, as they have less chances for performing research abroad. The program will provide participating students with unique opportunities to become globally-engaged scientists and to build their international scientific networks. There are five Tribal Colleges in the state of North Dakota that represent historic tribal nations. The recruitment of this program from these Tribal Colleges will ensure a regionally diverse student group will receive international mentoring and research-based education. In many large cities of U.S., there are environmental problems similar to Beijing, so the monitoring technology learned by participating students will provide valuable reference and an essential technology reserve. The participating students will build peer-mentoring skills and learn about the unique culture and traditions of China from Beijing, the culture center of China.Student participants will learn to design advanced environmental monitoring systems that integrate energy harvest and remote control, which can track all four categories of environmental contaminants including metals, radioisotopes, volatile organic contaminants, and biological contaminants. In this project, tasks for student participants include sensor developments, interface circuits designs, wireless sensor network designs for Internet of Things (IoT)-enabled systems to realize environmental monitoring, testing the proposed monitoring system on laboratory and field sites, and making reliability-based lifetime analyses. The proposed system is a much-needed technology for environmental decision-making that will help substantially reduce ecological and human-health threats from environmental problems, and the implemented prototype and test data will be a significant reference for the other academic researchers and industrial developers. Evaluation data collection will occur sequentially using a combination of qualitative and quantitative data measurements to assess the effectiveness of the program. The primary goals of this program are to: 1) provide students with training and mentoring in international-based engineering applications that will create a positive effect in their professional and personal lives, 2) create Native American experts in environmental monitoring and protection, and 3) improve specialized environmental management in the remote areas.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.
期刊论文(15)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1109/jetcas.2023.3235658
发表时间: 2023-03
期刊: IEEE Journal on Emerging and Selected Topics in Circuits and Systems
影响因子: 4.6
作者: [Saleh Ahmad Khan;Md. Oli-Uz-Zaman;Jinhui Wang]
通讯作者: Saleh Ahmad Khan;Md. Oli-Uz-Zaman;Jinhui Wang
Reconfigurable Mapping Algorithm based Stuck-At-Fault Mitigation in Neuromorphic Computing Systems
神经形态计算系统中基于可重构映射算法的卡故障缓解
DOI: 10.1145/3583781.3590208
发表时间: 2023
期刊: GLSVLSI '23: Proceedings of the Great Lakes Symposium on VLSI 2023
影响因子: --
作者: [Oli-Uz-Zaman, Md., Khan, Saleh Ahmad, Oswald, William, Liao, Zhiheng, Wang, Jinhui]
通讯作者: Wang, Jinhui
DOI: 10.1109/iscas48785.2022.9937260
发表时间: 2022-05
期刊: 2022 IEEE International Symposium on Circuits and Systems (ISCAS)
影响因子: --
作者: [Md. Oli-Uz-Zaman;Saleh Ahmad Khan;Geng Yuan;Yanzhi Wang;Zhiheng Liao;Jingyan Fu;Caiwen Ding;Jinhui Wang]
通讯作者: Md. Oli-Uz-Zaman;Saleh Ahmad Khan;Geng Yuan;Yanzhi Wang;Zhiheng Liao;Jingyan Fu;Caiwen Ding;Jinhui Wang
DOI: 10.1109/tvlsi.2019.2923722
发表时间: 2019-12-01
期刊: IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS
影响因子: 2.8
作者: [Fu, Jingyan, Liao, Zhiheng, Wang, Jinhui]
通讯作者: Wang, Jinhui
共 15 条
    Collaborative Research: SHF: Small: RUI: CMOS+X: Honey-ReRAM Enabled 3D Neuromorphic Accelerator
    • 批准号:
      2247343
    • 项目类别:
      Standard Grant
    • 资助金额:
      $30.0万
    • 财政年份:
      2023
    • 负责人:
      Jinhui Wang
    • 依托单位:
    IRES Track I: USA-China: International Research Experience for Native American Students in IoT Enabled Environmental Monitoring Technologies
    • 批准号:
      1827040
    • 项目类别:
      Standard Grant
    • 资助金额:
      $29.99万
    • 财政年份:
      2018
    • 负责人:
      Jinhui Wang
    • 依托单位:
    海外基金