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: Tennessee State University
• 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: 2022-08-15 至 2025-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2205773&HistoricalAwards=false
• 关键词: Targeted; Infusion; Project; Collaborative; Cloud

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.

历史黑人学院和大学本科课程(HBCU-UP)通过有针对性的灌输项目，支持基于证据的创新模式和方法的开发、实施和研究，以改善HBCU本科生的准备和成功，使他们能够攻读科学、技术、工程或数学(STEM)研究生课程和/或职业。研究团队将人工智能(AI)和网络物理系统(CPS)确定为美国未来STEM劳动力的两个战略研究、教育和就业机会领域。因此，在电气和计算机工程(ECA)课程中适当地结合人工智能和CPS的课程顺序将使学生为面对现实世界的工程挑战做好准备。研究团队预计，未来的学生将考虑进入AI-CPS专业，增加科学劳动力的多样性和国家竞争力，并缓解这一要求苛刻的领域中熟练专业人员的短缺。该项目通过让学生，包括少数族裔和代表性不足的学生，参与AI-CPS的研究、教育和培训来解决上述问题。通过这个项目，学生们获得了AI-CPS安全方面的技能，并最终构建了一份能够提高他们被考虑从事高需求工作的机会的简历。此外，通过将该项目作为开放课程传播给姊妹HBCU，可能会吸引来自不同学科的学生。最后，该项目将向更广泛的受众展示HBCU的研究能力和质量。该项目引入了定义明确的AI-CPS课程，使未被充分代表的工科学生能够获得对国家未来至关重要的知识和机会。开发的课程包括人工智能、CPS和网络安全组件，旨在针对像纳什维尔这样发展中的城市所需的基础设施网络安全应用程序。本研究强调基于项目的学习体验，这被证明是提高工科学生技能的一种有效方法。拟议中的研究项目与当地政府机构合作，帮助学生为应对现实世界的挑战做好准备。通过与不同学术部门的跨学科合作，学生们可以集思广益，找到新的解决方案，解决美国现代城市遇到的问题。这项工作的成功之路倡议为学生在学术界和工业界之间切换做好了准备。从长远来看，它允许学生完成本科学位并继续攻读高等教育学位。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势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

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
• 作者: Munir, Md. Shirajum;Dipro, Sumit Howlader;Hasan, Kamrul;Islam, Tariqul;Shetty, Sachin
• 通讯作者: Shetty, Sachin

Predictive Cyber Defense Remediation against Advanced Persistent Threat in Cyber-Physical Systems

• DOI: 10.1109/icccn54977.2022.9868886
• 发表时间: 2022-07
• 期刊: 2022 International Conference on Computer Communications and Networks (ICCCN)
• 作者: Kamrul Hasan;Sachin Shetty;Tariqul Islam;Imtiaz Ahmed