REU Site: Intelligent Edge Computing Systems

REU 站点：智能边缘计算系统

• 批准号: 2348711
• 负责人: Samee Khan
• 金额: $ 33.36万
• 依托单位: Mississippi State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-02-01 至 2027-01-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2348711&HistoricalAwards=false
• 关键词: REU; Site; Intelligent; Edge; Computing

This project establishes a Research Experiences for Undergraduates (REU) site at Mississippi State University. Computing in homes, workspaces, farms, factories, e-commerce, vehicles, healthcare, etc., is pervasive, and human expectations of making decisions quickly, robustly, and effectively have yet to know any bounds. To cater to such a profound need, edge computing is tapped as a practical solution as the user experience improves due to the increased focus on the domain (vehicles, factories, healthcare, etc.). The increased focus mandates domain-specific solutions that make intelligent decisions that are timely and accurate. The Intelligent Edge Computing Systems (iEDGE) REU site aims to expose undergraduate students to various domain-specific edge computing systems. Eight undergraduate students will work each year for ten weeks on iEDGE projects. The environment provided at the REU site will focus on peer mentoring, rapid integration of students in existing projects, and a robust support system that will include knowledge transference from faculty members, postdoctoral researchers, and doctoral, master, and undergraduate research students already working on projects related to edge computing at Mississippi State University. While the iEDGE REU site projects may have different emphases per domain, all projects will research and develop solutions for integrated edge platforms comprising computational, communications, and sensory elements coordinating to control and monitor various processes. The REU site students will primarily be recruited from Minority Serving Institutions (MSIs) and provided with a two-week baseline primer to enable them to conduct research successfully. The topics covered in the primer will include (but are not limited to) embedded systems, radio access networks, 5G communications, software-defined radios, Zigbee, federated machine learning, sensor processing, wave propagation, antennae design, operating systems, libraries, compilers, and distributed systems. The REU participants will also be exposed to topics on project management, collaborative research, team management, research ethics, equity, diversity, and inclusion, as well as several professional development programs. Through the unique mentoring program immersed in peer mentoring at all levels, the participants will gain a robust research experience that will prepare them well to work at the intersection of computing and communication to develop domain-specific integrated platform solutions.This project is jointly funded by the NSF CISE REU Program and the Established Program to Stimulate Competitive Research (EPSCoR).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.

该项目在密西西比州立大学建立了一个本科生研究经验（REU）网站。家庭、农场、工厂、电子商务、车辆、医疗保健等领域的计算，是普遍存在的，人类对快速、稳健和有效地做出决策的期望还没有达到任何限度。为了满足这种深刻的需求，边缘计算被视为一种实用的解决方案，因为用户体验由于对该领域（车辆，工厂，医疗保健等）的关注而得到改善。越来越多的关注要求特定于领域的解决方案能够及时准确地做出明智的决策。智能边缘计算系统（iEDGE）REU网站旨在让本科生接触各种特定领域的边缘计算系统。八名本科生每年将在iEDGE项目上工作十周。REU网站提供的环境将侧重于同行指导，学生在现有项目中的快速整合，以及强大的支持系统，其中包括教师，博士后研究人员以及已经在密西西比州立大学从事边缘计算相关项目的博士，硕士和本科研究生的知识转移。虽然iEDGE REU站点项目在每个领域可能有不同的重点，但所有项目都将研究和开发集成边缘平台的解决方案，包括协调控制和监控各种过程的计算，通信和传感元件。REU网站的学生将主要从少数民族服务机构（MSIs）招募，并提供了为期两周的基线引物，使他们能够成功地进行研究。本书涵盖的主题将包括（但不限于）嵌入式系统、无线电接入网络、5G通信、软件定义无线电、Zigbee、联合机器学习、传感器处理、波传播、天线设计、操作系统、库、编译器和分布式系统。REU参与者还将接触到项目管理，合作研究，团队管理，研究道德，公平，多样性和包容性，以及几个专业发展计划的主题。通过独特的辅导计划，沉浸在各级同行辅导，参与者将获得一个强大的研究经验，这将使他们做好准备，在计算和通信的交叉领域工作，开发特定领域的集成平台解决方案。该项目由美国国家科学基金会CISE REU计划和刺激竞争研究的既定计划（EPSCoR）联合资助该奖项反映了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，被认为值得支持。