REU SITE: Numerical Computing and Optimization in Multidisciplinary Applications: Methods and Software
REU 站点:多学科应用中的数值计算和优化:方法和软件
基本信息
- 批准号:0851733
- 负责人:
- 金额:$ 30万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2009
- 资助国家:美国
- 起止时间:2009-02-15 至 2013-01-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This project is a Numerical Computing and Optimization REU site hosted by Florida International University (FIU). This site?s region, Southeast Florida, is a rapidly growing communication industry hub. This REU Site contributes to a well trained technical workforce in response to information from to the US and Florida Bureau of Labor Statistics indicating that the need for computer systems and data communication analysts is projected to grow during the 2006-2016 period. FIU is recruiting a diverse group of students and engaging them in a research experience to ensure that greater numbers will attend graduate school. Each summer 10 students are selected from across the country to participate in a variety of research projects that are supervised by the faculty for a period of 10 weeks. Projects span fundamental multidisciplinary areas in reconfigurable algorithms, software and operating systems for emerging applications. Students also attend a number of technical and professional seminars. Intellectual Merit: Undergraduate students participating in this summer program perform supervised research and obtain rich experiences in a diverse and multicultural environment. Female and under represented minorities are selected from across the country to participate in the program, thus giving a diverse perspective and strength to the research. The student projects allow participants to learn fundamental principles of theoretical and practical telecommunications and networking. The undergraduate students attend structured training sessions to learn how research is conducted and how to be effective team members. The research projects involve a combination of model design, development and testing of algorithms, and software and tools necessary to design and validate secure, context-aware and adaptable next generation computing and communication systems and devices. Broader Impacts: This project engages students from underrepresented groups in research and exposes them to the possibilities of graduate study and encourages them to choose a career path involving research. The students develop intellectual confidence as they associate with other students who share their commitment to science and engineering. This REU site advances the research skills of the undergraduate participants and improves the employment options for these students. This provides a stronger technically educated American workforce. The REU research advances are integrated into the curriculum of related classes at FIU and thus benefit other students.
本项目是佛罗里达国际大学(FIU)主办的数值计算与优化REU网站。这个网站吗?该地区位于佛罗里达州东南部,是一个快速发展的通信产业中心。根据美国和佛罗里达州劳工统计局的信息,该REU网站有助于培养训练有素的技术人员,这些信息表明,在2006-2016年期间,对计算机系统和数据通信分析师的需求预计将增长。FIU正在招收多元化的学生,并让他们参与研究,以确保更多的人进入研究生院。每年夏天,从全国各地选出10名学生参加由教师指导的各种研究项目,为期10周。项目涉及可重构算法、软件和新兴应用操作系统等基础多学科领域。学生还参加一些技术和专业研讨会。智力优势:参加这个暑期项目的本科生进行监督研究,并在多元化和多元文化的环境中获得丰富的经验。从全国各地挑选女性和代表性不足的少数民族参与该计划,从而为研究提供了多样化的视角和力量。学生项目允许参与者学习理论和实践电信和网络的基本原理。本科生参加结构化的培训课程,学习如何进行研究以及如何成为有效的团队成员。研究项目涉及模型设计、算法开发和测试,以及设计和验证安全、环境感知和适应性强的下一代计算和通信系统和设备所需的软件和工具的组合。更广泛的影响:该项目吸引了来自研究中代表性不足的群体的学生,使他们接触到研究生学习的可能性,并鼓励他们选择涉及研究的职业道路。学生们在与其他与他们共同致力于科学和工程的学生交往时,培养了智力上的自信。这个REU网站提高了本科生参与者的研究技能,并改善了这些学生的就业选择。这为美国提供了一支更强大的受过技术教育的劳动力队伍。REU的研究成果被整合到国际财经大学相关课程中,从而使其他学生受益。
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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Niki Pissinou其他文献
Using Logical Rings to Solve the Distributed Mutual Exclusion Problem with Fault Tolerance Issues
- DOI:
10.1023/a:1008137614672 - 发表时间:
2000-01-01 - 期刊:
- 影响因子:2.700
- 作者:
Kia Makki;John Dell;Niki Pissinou;W. Melody Moh;Xiaohua Jia - 通讯作者:
Xiaohua Jia
Efficient solutions to multicast routing in communication networks
- DOI:
10.1007/bf01193338 - 发表时间:
1996-06-01 - 期刊:
- 影响因子:2.000
- 作者:
Kia Makki;Niki Pissinou;Ophir Frieder - 通讯作者:
Ophir Frieder
Resource-Limited Localized Adaptive Adversarial Training for Machine Learning Model
机器学习模型的资源有限本地化自适应对抗训练
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Mohammed Rajhi;Niki Pissinou - 通讯作者:
Niki Pissinou
Niki Pissinou的其他文献
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{{ truncateString('Niki Pissinou', 18)}}的其他基金
NSF REU SITE: ASSET: Advanced Secured Sensor Enabling Technologies
NSF REU 网站:资产:先进的安全传感器支持技术
- 批准号:
2244283 - 财政年份:2023
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
RET in Engineering and Computer Science SITE: Research Experience for Teachers on Cyber-Enabled Technologies
工程和计算机科学领域的 RET 网站:网络技术教师的研究经验
- 批准号:
2055485 - 财政年份:2021
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
REU SITE: ASSET: Research Experiences for Undergraduates in Advanced Secured Sensor Enabling Technologies
REU 网站:资产:先进安全传感器支持技术本科生的研究经验
- 批准号:
1851890 - 财政年份:2019
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
RET in Engineering and Computer Science SITE: Research Experience for Teachers on Cyber-Enabled Technologies
工程和计算机科学领域的 RET 网站:网络技术教师的研究经验
- 批准号:
1801552 - 财政年份:2018
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
REU SITE: ASSET: Research Experiences for Undergraduates in Advanced Secured Sensor Enabling Technologies
REU 网站:资产:先进安全传感器支持技术本科生的研究经验
- 批准号:
1560134 - 财政年份:2016
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
RET in Engineering and Computer Science SITE: Research Experience for Teachers on Cyber-Enabled Technologies
工程和计算机科学领域的 RET 网站:网络技术教师的研究经验
- 批准号:
1407067 - 财政年份:2014
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
REU SITE: ASSET: Research Experiences for Undergraduates in Advanced Secured Sensor Enabling Technologies
REU 网站:资产:先进安全传感器支持技术本科生的研究经验
- 批准号:
1263124 - 财政年份:2013
- 资助金额:
$ 30万 - 项目类别:
Continuing Grant
SGER: A Lightweight Drive-Through Management Service for Internet-enabled Ad-Hoc Networks
SGER:适用于支持 Internet 的 Ad-Hoc 网络的轻量级直通式管理服务
- 批准号:
0843385 - 财政年份:2008
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
Middleware Components to Support Mobile Users in Heterogeneous Environments
支持异构环境中移动用户的中间件组件
- 批准号:
0196557 - 财政年份:2001
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
Workshop: Developing a Common Wireless Networking Infrastructure
研讨会:开发通用无线网络基础设施
- 批准号:
0296188 - 财政年份:2001
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
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