I/UCRC: Workshops Promoting International USA-Mexico Collaborations in Sensors and Signal Processing

I/UCRC:促进美国-墨西哥在传感器和信号处理领域国际合作的研讨会

基本信息

  • 批准号:
    1550393
  • 负责人:
  • 金额:
    $ 4.9万
  • 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:
    2015-09-15 至 2017-12-31
  • 项目状态:
    已结题

项目摘要

Arizona State University (ASU) and Tecnologico de Monterrey (ITESM) have recently signed a memorandum of understanding (MOU) and held two administrative meetings at ASU to explore collaborative research and education endeavors. This NSF award provides support to organize two workshops whose themes will be on Sensor Signal and Information Processing Systems. This program will positively impact US-Mexico research and education initiatives and will engage a number of qualified students and faculty from two large institutions in the area of sensors and signal processing. The program will engage underrepresented groups within STEM disciplines such as electrical engineering, with broader impacts on improving the engineering workforce base, with commensurate economic benefits to the two countries. The program will disseminate successful academy-industry collaborative models such as the I/UCRC in Mexico. Several application aspects of sensors will be addressed in industrial areas including localization, mobility with extensions to manufacturing, health, and other systems of common interest.The workshops which will engage USA and Mexico researchers, faculty and students and are titled:-Workshop 1: Sensors and Signal Processing for Localization and Security Applications;-Workshop 2: Academy-Industry Collaborations in Sensors and Signal Processing.The two workshops will be organized by the PI who will lead an organizing committee of faculty and industry partners. The first workshop will be in Tempe, Arizona (December 2015) and the second one in will be held in Monterrey, Mexico (May 2016). The objectives of the workshops are to: a) initiate collaborative structures between faculty and industry researchers in the US and Mexico through research and panel sessions, b) develop STEM foundations in the areas of sensor systems through organized tutorials for students and researchers that will support future workforce development efforts, and c) initiate industry-university relationsin Mexico using US industry academia-research models such as the I/UCRC.
亚利桑那州立大学(ASU)和蒙特雷理工大学(ITESM)最近签署了一份谅解备忘录(MOU),并在亚利桑那州立大学举行了两次行政会议,以探索合作研究和教育努力。该NSF奖提供支持组织两个主题为传感器信号和信息处理系统的研讨会。该项目将对美国-墨西哥的研究和教育计划产生积极影响,并将吸引来自传感器和信号处理领域的两家大型机构的一些合格学生和教师。该项目将涉及电气工程等STEM学科中代表性不足的群体,对改善工程劳动力基础产生更广泛的影响,并为两国带来相应的经济效益。该项目将传播成功的学院-工业合作模式,如墨西哥的I/UCRC。将讨论传感器在工业领域的几个应用方面,包括本地化、扩展到制造业的移动性、健康和其他共同感兴趣的系统。研讨会将邀请美国和墨西哥的研究人员、教师和学生参加,主题为:-研讨会1:定位和安全应用的传感器和信号处理;-工作坊2:传感器和信号处理的学术界与产业界合作。这两个研讨会将由PI组织,PI将领导一个由教师和行业合作伙伴组成的组织委员会。第一次研讨会将于2015年12月在亚利桑那州坦佩举行,第二次研讨会将于2016年5月在墨西哥蒙特雷举行。研讨会的目标是:a)通过研究和小组会议,在美国和墨西哥的教师和行业研究人员之间建立合作结构;b)通过为学生和研究人员组织的教程,在传感器系统领域发展STEM基础,以支持未来的劳动力发展努力;c)利用I/UCRC等美国行业学术研究模式,在墨西哥建立产学研关系。

项目成果

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Andreas Spanias其他文献

Despeckle Filtering Algorithms and Software for Ultrasound Imaging Despeckle Filtering Algorithms and Software for Ultrasound Imaging Despeckle Filtering Algorithms and Software for Ultrasound Imaging Synthesis Lectures on Algorithms and Software in Engineering #1
超声成像去斑滤波算法和软件 超声成像去斑滤波算法和软件 超声成像去斑滤波算法和软件 工程算法和软件综合讲座
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    0
  • 作者:
    C. Loizou;C. Pattichis;Eleni Loizou;Andreas Spanias
  • 通讯作者:
    Andreas Spanias
Adaptive noise cancellation using fast optimum block algorithms
使用快速最佳块算法的自适应噪声消除
Gradient projection-based channel equalization under sustained fading
  • DOI:
    10.1016/j.sigpro.2007.07.014
  • 发表时间:
    2008-02-01
  • 期刊:
  • 影响因子:
  • 作者:
    Venkatraman Atti;Andreas Spanias;Kostas Tsakalis;Constantinos Panayiotou;Leon Iasemidis;Visar Berisha
  • 通讯作者:
    Visar Berisha
Introducing Quantum Computing in a Sophomore Signals and Systems Course
在大二信号与系统课程中介绍量子计算
  • DOI:
    10.1109/fie58773.2023.10343312
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Chao Wang;Aradhita Sharma;Glen S. Uehara;Leslie Miller;Deep Pujara;W. Barnard;Jean Larson;Andreas Spanias
  • 通讯作者:
    Andreas Spanias
Quantum and Classical Machine Learning Algorithm Comparisons for Monitoring PV Array Faults with Emphasis to Shading Detection
用于监测光伏阵列故障的量子和经典机器学习算法比较,重点是阴影检测
  • DOI:
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Kaden McGuffie;Glen S. Uehara;Sameeksha Katoch;Andreas Spanias
  • 通讯作者:
    Andreas Spanias

Andreas Spanias的其他文献

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{{ truncateString('Andreas Spanias', 18)}}的其他基金

REU Site: Quantum Machine Learning Algorithm Design and Implementation
REU 站点:量子机器学习算法设计与实现
  • 批准号:
    2349567
  • 财政年份:
    2024
  • 资助金额:
    $ 4.9万
  • 项目类别:
    Standard Grant
Quantum Machine Learning Online Materials and Software Modules for Undergraduate Education
适用于本科教育的量子机器学习在线材料和软件模块
  • 批准号:
    2215998
  • 财政年份:
    2022
  • 资助金额:
    $ 4.9万
  • 项目类别:
    Standard Grant
MRI: Development of a Sensors and Machine Learning Instrument Suite for Solar Array Monitoring
MRI:开发用于太阳能阵列监测的传感器和机器学习仪器套件
  • 批准号:
    2019068
  • 财政年份:
    2020
  • 资助金额:
    $ 4.9万
  • 项目类别:
    Standard Grant
RET Site: Sensor, Signal and Information Processing Algorithms and Software
RET 站点:传感器、信号和信息处理算法和软件
  • 批准号:
    1953745
  • 财政年份:
    2020
  • 资助金额:
    $ 4.9万
  • 项目类别:
    Standard Grant
RAPID: Collaborative Research: Covid-19 Hotspot Network Size and Node Counting using Consensus Estimation
RAPID:协作研究:使用共识估计的 Covid-19 热点网络规模和节点计数
  • 批准号:
    2032114
  • 财政年份:
    2020
  • 资助金额:
    $ 4.9万
  • 项目类别:
    Standard Grant
IRES Track I: Sensors and Machine Learning for Solar Power Monitoring and Control
IRES Track I:用于太阳能监测和控制的传感器和机器学习
  • 批准号:
    1854273
  • 财政年份:
    2019
  • 资助金额:
    $ 4.9万
  • 项目类别:
    Standard Grant
REU Site: Sensor, Signal and Information Processing Devices and Algorithms
REU 网站:传感器、信号和信息处理设备和算法
  • 批准号:
    1659871
  • 财政年份:
    2017
  • 资助金额:
    $ 4.9万
  • 项目类别:
    Standard Grant
I/UCRC Phase II: ASU Research Site of the NSF Net-Centric and Cloud Software and Systems I/UCRC
I/UCRC 第二阶段:美国国家科学基金会 (NSF) 网络中心和云软件与系统的 ASU 研究站点 I/UCRC
  • 批准号:
    1540040
  • 财政年份:
    2016
  • 资助金额:
    $ 4.9万
  • 项目类别:
    Continuing Grant
CPS: Synergy: Image Modeling and Machine Learning Algorithms for Utility-Scale Solar Panel Monitoring
CPS:协同:用于公用事业规模太阳能电池板监控的图像建模和机器学习算法
  • 批准号:
    1646542
  • 财政年份:
    2016
  • 资助金额:
    $ 4.9万
  • 项目类别:
    Standard Grant
Collaborative Research: Integrated Development of Scalable Mobile Multidisciplinary Modules (SM3) for STEM Education
合作研究:STEM教育可扩展移动多学科模块(SM3)的集成开发
  • 批准号:
    1525716
  • 财政年份:
    2015
  • 资助金额:
    $ 4.9万
  • 项目类别:
    Standard Grant

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