REU SITE: Research in Consumer Networking Technologies

REU 站点：消费者网络技术研究

• 批准号: 1950873
• 负责人: Prasad Calyam
• 金额: $ 40.5万
• 依托单位: University of Missouri-Columbia
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-02-01 至 2024-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1950873&HistoricalAwards=false
• 关键词: REU; SITE; Research; Consumer; Networking

This funding renews a Research Experience for Undergraduates (REU) Site at the University of Missouri – Columbia. Undergraduate students will investigate a variety of interesting and challenging problems that involve consumer networking applications and services that are of significance to the economy and quality of life in areas such as social computing, health care, and public safety. The students will participate in the faculty mentors’ on-going funded research, investigate technically challenging issues, and develop viable solutions and insights. They will participate in professional development activities to prepare them for future graduate studies and a broad range of emerging computing careers. The site will focus on recruiting students from non-PhD granting institutions with particular emphasis on institutions in and around the state of Missouri. The intellectual merit of the project rests with the leadership, an experienced research group with excellent expertise and experience in the research area. The research will focus on application areas such as public safety, health, nature conservation, and immersive learning The research activities will lead to a better understanding of the multitude of efficiency, performance, reliability, scalability, and security issues and tradeoffs in consumer networking technologies and related applications. Advanced networking environments and software developed in the previous REU site programs as well as novel testbeds such as the Missouri University Science DMZ (demilitarized zone) environment, NSF-supported CloudLab/GENI (Global Environment for Network Innovation), smart device equipment, and sensor-based monitoring will be leveraged by the participating students in hands-on experiments within their research projects.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.

这笔资金更新了密苏里大学哥伦比亚分校的本科生研究体验 (REU) 站点，本科生将研究各种有趣且具有挑战性的问题，这些问题涉及对经济和生活质量具有重要意义的消费者网络应用和服务。学生将参与教师导师正在进行的资助研究，解决技术上具有挑战性的问题，并制定可行的解决方案和见解，为他们做好准备。未来的研究生学习和广泛的新兴计算该网站将重点从非博士学位授予机构招收学生，特别是密苏里州及其周边地区的机构。该项目的智力优势取决于领导层，这是一个经验丰富的研究小组，在该领域拥有出色的专业知识和经验。研究领域将重点关注公共安全、健康、自然保护和沉浸式学习等应用领域。研究活动将有助于更好地理解众多效率、性能、可靠性、可扩展性和安全问题以及权衡。先进的消费者网络技术和相关应用。之前的 REU 站点计划中开发的网络环境和软件以及新型测试平台，例如密苏里大学科学 DMZ（非军事区）环境、NSF 支持的 CloudLab/GENI（全球网络创新环境）、智能设备和传感器参与的学生将在其研究项目中进行实践实验。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

3D Modeling of Cities for Virtual Environments

虚拟环境中的城市 3D 建模

• DOI: 10.1109/bigdata52589.2021.9671898
• 发表时间: 2021-12
• 期刊: 2021 IEEE International Conference on Big Data (Big Data
• 作者: Davis, Calvin;Collins, Jaired;Fraser, Joshua;Zhang, Haoxiang;Yao, Shizeng;Lattanzio, Emily;Balakrishnan, Bimal;Duan, Ye;Calyam, Prasad;Palaniappan, Kannappan
• 通讯作者: Palaniappan, Kannappan

Rule-based Adaptations to Control Cybersickness in Social Virtual Reality Learning Environments

基于规则的适应控制社交虚拟现实学习环境中的晕眩症

• DOI: 10.1109/ficloud49777.2021.00057
• 发表时间: 2021-08
• 期刊: 2021 8th International Conference on Future Internet of Things and Cloud (FiCloud
• 作者: Valluripally, Samaikya;Akashe, Vaibhav;Fisher, Michael;Falana, David;Hoque, Khaza Anuarul;Calyam, Prasad
• 通讯作者: Calyam, Prasad

ClaimChain: Secure Blockchain Platform for Handling Insurance Claims Processing

ClaimChain：用于处理保险索赔处理的安全区块链平台

• DOI: 10.1109/blockchain53845.2021.00019
• 发表时间: 2021-12
• 期刊: 2021 IEEE International Conference on Blockchain (Blockchain
• 作者: Bhamidipati, Naga Ramya;Vakkavanthula, Varsha;Stafford, George;Dahir, Masrik;Neupane, Roshan;Bonnah, Ernest;Wang, Songjie;Murthy, J. V.;Hoque, Khaza Anuarul;Calyam, Prasad
• 通讯作者: Calyam, Prasad

A Multiple UAV Path-Planning Approach to Small Object Counting with Aerial Images

利用航空图像进行小物体计数的多无人机路径规划方法

• DOI: 10.1109/icce50685.2021.9427712
• 发表时间: 2021-01
• 期刊: 2021 IEEE International Conference on Consumer Electronics (ICCE
• 作者: Krusniak, Miles;James, Alec;Flores, Angel;Shang, Yi
• 通讯作者: Shang, Yi

Deepfake Video Detection Based on Spatial, Spectral, and Temporal Inconsistencies Using Multimodal Deep Learning

使用多模态深度学习基于空间、光谱和时间不一致的 Deepfake 视频检测

• DOI: 10.1109/aipr50011.2020.9425167
• 发表时间: 2020-10-13
• 期刊: 2020 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)
• 作者: John Lewis;Imad Eddine Toubal;Helen Chen;Vishal S;esera;esera;M. Lomnitz;Z. Hampel;P. Calyam;K. Palaniappan
• 通讯作者: K. Palaniappan