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Targeted Infusion Project: Collaborative Cloud-Edge Artificial Intelligence in Cyber-physical Systems

Targeted Infusion Project: Collaborative Cloud-Edge Artificial Intelligence in Cyber-physical Systems
针对性注入项目:网络物理系统中的协作云边缘人工智能
批准号:
2205773
负责人:
Kamrul Hasan
金额:
$39.98万
依托单位:
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
项目状态:
未结题
起止时间:
2022-08-15 至 2025-07-31

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中文摘要
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英文摘要
The Historically Black Colleges and Universities Undergraduate Program (HBCU-UP), through Targeted Infusion Projects supports the development, implementation and study of evidence-based innovative models and approaches for improving the preparation and success of HBCU undergraduate students so that they may pursue science, technology, engineering or mathematics (STEM) graduate programs and/or careers. The research team identified Artificial Intelligence (AI) and cyber-physical systems (CPS) as two strategic fields of research, education and job opportunities for future STEM workforce in the United States. Thus, a proper courses sequence combining AI and CPS in the Electrical and Computer Engineering (ECE) curriculum will prepare students to face real-world engineering challenges. The research team expects future students will consider careers in AI-CPS professions, increase scientific workforce diversity and national competitiveness, and ease the shortage of skilled professionals in this demanding field. This project addresses the above issues by involving students, including minority and underrepresented students, in AI-CPS research, education, and training. Through this project, students gain skills in AI-CPS security and eventually build a resume that improves their chances of being considered for a highly in-demand job. Also, by disseminating the project as an open curriculum to sister HBCUs could potentially attract students from different disciplines. Finally, the project will show the research capacity and quality of HBCUs to a broader audience.The project introduces a well-defined AI-CPS curriculum enabling underrepresented engineering students to access the knowledge and opportunities essential to the nation future. The developed curriculum has AI, CPS, and cyber-security components, designed to target infrastructure cyber-security applications that a growing city like Nashville needs. The research emphasizes a project-based learning experience that has proved to be an effective method to improve the skill set of engineering students. The proposed research projects in collaboration with local government agencies help to prepare students to deal with real-world challenges. The interdisciplinary cooperation with different academic departments allows students to brainstorm new solutions to address issues encountered by a modern city in the United States. The pathway-to-success initiative of the work prepares students to switch between academia and industry. In the long run, it allows students to complete an undergraduate degree and pursue higher education degrees.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.
期刊论文(2)
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科研奖励(0)
会议论文
Artificial Intelligence-Enabled Exploratory Cyber-Physical Safety Analyzer Framework for Civilian Urban Air Mobility
用于民用城市空中交通的人工智能探索性网络物理安全分析框架
DOI: 10.3390/app13020755
发表时间: 2023
期刊: Applied Sciences
影响因子: --
作者: [Munir, Md. Shirajum, Dipro, Sumit Howlader, Hasan, Kamrul, Islam, Tariqul, Shetty, Sachin]
通讯作者: Shetty, Sachin
DOI: 10.1109/icccn54977.2022.9868886
发表时间: 2022-07
期刊: 2022 International Conference on Computer Communications and Networks (ICCCN)
影响因子: --
作者: [Kamrul Hasan;Sachin Shetty;Tariqul Islam;Imtiaz Ahmed]
通讯作者: Kamrul Hasan;Sachin Shetty;Tariqul Islam;Imtiaz Ahmed
Collaborative Research: CISE-MSI: RCBP-RF: CNS: Enabling Secured and Artificial Intelligence Assisted Cell-Free Communications
  • 批准号:
    2219658
  • 项目类别:
    Standard Grant
  • 资助金额:
    $15.74万
  • 财政年份:
    2022
  • 负责人:
    Kamrul Hasan
  • 依托单位:
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