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-圣马科斯的本科生研究经验（REU）网站。本科生将参与暑期研究，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，日常物理对象可以与传感器连接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。 该网站强调各种学生群体的参与，特别是妇女、少数民族和非传统学生。该项目由Cyber-Physical Systems计划共同资助。该项目的智力价值在于项目领导，一个经验丰富的研究小组，在研究领域具有出色的专业知识和经验。 所有的学生项目都有一个强大的研究基础，来自计算机科学和工程系的五名核心教师的协同研究专长。 这些项目将在物联网的背景下推进大数据分析和管理、信息检索、计算机视觉和软件工程的最新技术，其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，体验物联网跨学科主题的研究。 参与的教师致力于在他们的研究中包括代表性不足和非传统的学生，并建立了招聘网络，以达到这些学生。 因此，该项目有可能产生新的计算机科学研究生和教师，并在促进学习的同时推进发现和理解。

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.