REU Site: Research Experiences for Undergraduates in Edge Computing

REU 网站：边缘计算本科生研究经验

• 批准号: 2149950
• 负责人: Kecheng Yang
• 金额: $ 39万
• 依托单位: Texas State University - San Marcos
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-03-01 至 2025-02-28
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2149950&HistoricalAwards=false
• 关键词: REU; Site; Research; Experiences; Undergraduates

This renewal Research Experiences for Undergraduates (REU) site project focused on edge computing at Texas State University. This REU site provides opportunities for a cohort of 10 undergraduate students to gain summer research experiences for 10 weeks and to develop innovative edge computing technologies. Participating students are exposed to the principles, techniques, and challenges in a variety of aspects associated with edge computing. The site emphasizes the participation of a diverse group of students, in particular, women, minorities, first generation, and non-traditional students. The project includes workshops, student presentations and posters, field trips to local leading tech companies as well as research labs, and other professional development opportunities. The goal is to increase the retention of Computer Science (CS) students, instill the spirit of innovation in them, improve their career perspectives, engage them to participate in both fundamental and applied research in computing, and motivate them to enter graduate CS programs.In this new era of data-driven and ubiquitous computing, edge computing is emerging and thriving to complement cloud computing by processing the data at or close to where it is generated. Edge computing is a key to efficiently and affordably realizing the growing internet of things (IoT) and cyber-physical systems (CPS) where tremendous data is generated at the edge of the networks by numerous sensors and end devices. This project will investigate and advance the state-of-the-art in edge computing from several perspectives, including real-time edge computing, wearable edge devices programming, high-performance edge computing, networks resource allocation at the edge, and edge time-series data labeling.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.

这项针对本科生（REU）网站项目的更新研究经验着重于德克萨斯州立大学的边缘计算。这个REU网站为10周的10个本科生提供了10周的夏季研究经验，并开发创新的边缘计算技术。参与的学生面临与边缘计算相关的各个方面的原则，技术和挑战。该网站强调了一群学生，特别是妇女，少数民族，第一代和非传统学生的参与。该项目包括研讨会，学生演讲和海报，前往当地领先的科技公司以及研究实验室的实地考察以及其他专业发展机会。目的是增加计算机科学（CS）学生的保留率，灌输创新的精神，改善他们的职业观点，让他们参与计算中的基本和应用研究，并激励他们进入研究生CS程序。边缘计算是有效，负担得起的关键，可以实现不断增长的物联网（IoT）和网络物理系统（CPS），其中许多传感器和终端设备在网络边缘生成了巨大的数据。 This project will investigate and advance the state-of-the-art in edge computing from several perspectives, including real-time edge computing, wearable edge devices programming, high-performance edge computing, networks resource allocation at the edge, and edge time-series data labeling.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.

项目成果

Poster: Decentralized Simulation Workflow for Enhancing Connected Vehicle Security

海报：用于增强联网车辆安全性的分散式仿真工作流程

• DOI: 10.1145/3565287.3617981
• 发表时间: 2023
• 期刊: as part of the 8th National Workshop for REU Research in Networking and Systems (REUNS
• 作者: Castillo, Marbella;Voce, Gianna;Griffith, Henry;Rathore, Heena
• 通讯作者: Rathore, Heena

Poster: Opinion Dynamics for Enhancing Trust and Security in Connected Vehicle Networks

海报：增强互联车辆网络信任和安全的意见动态

• DOI: 10.1145/3565287.3617977
• 发表时间: 2023
• 期刊: as part of the 8th National Workshop for REU Research in Networking and Systems (REUNS
• 作者: Voce, Gianna;Castillo, Marbella;Griffith, Henry;Rathore, Heena
• 通讯作者: Rathore, Heena

Poster: Unraveling Reward Functions for Head-to-Head Autonomous Racing in AWS DeepRacer

海报：揭开 AWS DeepRacer 中面对面自动赛车的奖励功能

• DOI: 10.1145/3565287.3617987
• 发表时间: 2023
• 期刊: as part of the 8th National Workshop for REU Research in Networking and Systems (REUNS
• 作者: Tian, Allen;John, Eddy Guerra;Yang, Kecheng
• 通讯作者: Yang, Kecheng

Assisted Labeling Visualizer (ALVI): A Semi-Automatic Labeling System For Time-Series Data

• DOI: 10.1109/icasspw59220.2023.10193169
• 发表时间: 2023-06
• 期刊: 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)
• 作者: Lee B. Hinkle;Tristan Pedro;Tyler Lynn;G. Atkinson;V. Metsis

Reinforcement Learning Approaches for Racing and Object Avoidance on AWS DeepRacer

AWS DeepRacer 上用于赛车和物体躲避的强化学习方法

• DOI: 10.1109/compsac57700.2023.00129
• 发表时间: 2023
• 期刊: Proceedings of the 47th IEEE Annual International Computer Software and Applications Conference (COMPSAC
• 作者: McCalip, Jacob;Pradhan, Mandil;Yang, Kecheng
• 通讯作者: Yang, Kecheng