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

这个本科生研究经验（REU）站点奖资助了北德克萨斯大学的一个新的REU站点。该网站将从全国各地招募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需求很高，所以这个话题很重要，也很及时。学生们将以小组形式开发技术，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，以追求计算机事业和研究领域的快速发展，对未来的技术劳动力至关重要。该项目由一支优秀的团队领导，提供最先进的设施和专业的导师，指导本科生探索与车辆边缘计算和安全相关的前沿问题。项目主题包括分层边缘计算架构、车载传感数据处理、可信信息传播、车载传感数据隐私保护等。该网站以问题为基础，以团队为导向的方式运行。其目标是通过系统设计，让本科生接触到现实世界和创新的研究，重点是车辆边缘系统和安全，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，培养研究技能，提高沟通和协作技能。该团队将努力吸引来自计算机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，该项目具有培养新一代计算机科学研究生和计算机专业人员的潜力，并在促进学习的同时促进发现和理解。该奖项反映了美国国家科学基金会的法定使命，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。

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.