REU SITE: Multidisciplinary Research Experiences for Undergraduates in the Internet of Things

这笔资金更新了德克萨斯州立大学圣马科斯分校的本科生研究体验(REU)网站。本科生将进行暑期研究，涉及与物联网相关的各种有趣和具有挑战性的问题。物联网代表了下一代互联网的愿景，日常实物可以连接到传感器上，并与互联网无缝集成。这个REU网站为一群本科生提供了在夏季研究和开发创新的物联网技术的机会，这些技术可能会产生重大的社会影响。该网站强调不同学生群体的参与，特别是女性、少数民族和非传统学生。这个项目是由网络物理系统计划共同资助的。项目的智力价值在于项目领导，他们是一个在研究领域拥有卓越专业知识和经验的经验丰富的研究小组。所有的学生项目都有坚实的研究基础，来自计算机科学和工程系的五名核心教员的协同研究专长。这些项目将推进物联网背景下大数据分析和管理、信息检索、计算机视觉和软件工程方面的最新进展。更广泛的影响包括为研究机会有限的本科生提供一个独特的机会，体验物联网这一跨学科主题的研究。参与研究的教职员工致力于将代表性不足和非传统的学生纳入他们的研究，并建立了一个面向这些学生的招聘网络。因此，这个项目有可能产生新的计算机科学研究生和教职员工，并在促进学习的同时促进发现和理解。

This funding renews a Research Experience for Undergraduates (REU) Site at Texas State University - San Marcos. Undergraduate students will engage in summer research involving a variety of interesting and challenging problems associated with the Internet of Things. Internet of Things represents a vision for the next generation of the Internet where everyday physical objects can be attached with sensors and seamlessly integrated with the Internet. This REU Site provides opportunities for a cohort of undergraduate students to work during the summer on research and development of innovative Internet of Things technologies that could have significant societal impacts. The site emphasizes the participation of a diverse group of students, in particular women, minorities, and non-traditional students. This project is co-funded by the Cyber-Physical Systems program.The intellectual merit of the project rests with the project leadership, an experienced research group with excellent expertise and experience in the research area. All of the student projects have a strong research basis derived from the synergistic research expertise of the five core faculty members from the Computer Science and Engineering departments. The projects will advance the state-of-the-art in big data analysis and management, information retrieval, computer vision, and software engineering in the context of the Internet of Things.The broader impacts include providing a unique opportunity for undergraduate students with limited research opportunities to experience research in the interdisciplinary theme of Internet of Things. The participating faculty members are committed to including under-represented and non-traditional students in their research and have an established recruitment network to reach these students. Thus this project has the potential to produce new computer science graduate students and faculty members and to advance discovery and understanding while promoting learning.