REU Site: Vehicular Edge Computing and Security: Research Experience for Undergraduates

本科生（REU）网站的研究经验奖励资金在北德克萨斯大学的一个新的REU网站。 该网站将招募来自全国各地的本科生参与涉及车辆边缘计算和安全的研究。由于对可靠、可靠和安全的自动驾驶汽车的高需求，该主题非常重要和及时。学生们将以小组为单位开发技术，并将其应用于配备各种传感器的电动汽车。学生将参加各种相关的专业发展活动。REU的经验为学生提供了基础和灵感，在快速发展和对未来技术劳动力至关重要的领域从事计算职业和研究。该项目由一支优秀的团队领导，提供最先进的设施和专业导师，指导本科生探索与车辆边缘计算和安全相关的尖端问题。项目主题包括分层边缘计算架构，车辆传感数据处理，可信信息传播以及车辆传感数据的隐私保护。 该网站以问题为基础，以团队为导向的方法运行。 目标是让本科生接触到现实世界和创新研究，重点是车辆边缘系统和系统设计的安全性，激励更多的本科生继续他们的学术生涯，并寻求计算机科学与工程的研究生学位，并发展研究技能，提高沟通和协作技能。该团队将努力吸引来自计算领域代表性不足的群体的学生，特别是来自研究机会有限的小型学院的学生。 因此，该项目有潜力产生新一代的计算机科学研究生和计算专业人员，并推进发现和理解，同时促进learning.This奖项反映了NSF的法定使命，并已被认为是值得的支持，通过评估使用基金会的智力价值和更广泛的影响审查标准。

This Research Experiences for Undergraduates (REU) Site award funds a new REU Site at the University of North Texas. The site will recruit undergraduates from across the nation to participate in research involving vehicular edge computing and security. The topic is important and timely due to the high demand for dependable, reliable, and secure autonomous cars. The students will work in teams to develop technologies and apply them to electric cars equipped with a variety of sensors. The students will participate in a variety of related professional development activities. The REU experience provides students with the foundations and inspiration to pursue computing careers and research in areas that are rapidly evolving and essential for the technical workforce of the future.The project is led by an outstanding team offering state-of-the art facilities and professional mentors to guide undergraduates in explorations of cutting-edge problems related to vehicular edge computing and security. Project topics include hierarchical edge computing architecture, vehicular sensing data processing, trustworthy information dissemination, and privacy protection of sensing data on vehicles. The site is run with a problem-based, team-oriented approach. The goals are to expose undergraduates to real-world and innovative research focused on vehicular edge systems and security by system design, to motivate more undergraduates to continue their academic careers and seek graduate degrees in computer science and engineering, and to develop research skills and improve communication and collaboration skills. The team will strive to attract students from groups under-represented in computing, particularly students from small colleges with limited research opportunities. Thus, the project has the potential to produce a new generation of computer science graduate students and computing professionals and to advance discovery and understanding while promoting learning.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.