NRT: A Graduate Traineeship in Cyber Physical Systems

NRT：网络物理系统研究生实习

• 批准号: 1829004
• 负责人: Jonathan Goodall
• 金额: $ 296.98万
• 依托单位: University of Virginia Main Campus
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1829004&HistoricalAwards=false
• 关键词: NRT; Graduate; Traineeship; Cyber; Physical

Enhancing resource availability, health, security, and a sense of well-being can be enhanced by our ability to sense, analyze, and act on our world with efficient, safe, and secure engineered systems. To realize such systems requires a deep understanding of the interfaces between the cyber and physical worlds, leading to the establishment of the field of Cyber Physical Systems (CPS). While CPS as a discipline and application-enabler has evolved tremendously over the past decade, current graduate training does not sufficiently prepare students for fundamental discovery and innovation in CPS nor for effective translation of research to application development. This National Science Foundation Research Traineeship (NRT) award to the University of Virginia (UVA) will address this need by training graduate students to pursue fundamental CPS discovery and innovation and to collaborate with application domain experts to realize a smarter planet, specifically in the areas of smart health, smart cities, and autonomous systems. The traineeship anticipates training one hundred fifty-eight (158) master's and doctoral students, including thirty-three (33) funded PhD trainees, from civil and environmental engineering, computer science, electrical and computer engineering, mechanical and aerospace engineering, and systems and information engineering.Current CPS graduate training is lacking in three critical ways that will be addressed in this project. First, current courses do not instill the integrative knowledge needed for new scientific discovery and translational applications in the field of CPS. Second, most students do not have a sufficiently robust experience of convergence activities as part of their training. This lack exists not only in traditional engineering and computing education but also extends into analyses of target application domains and associated grand challenges. Third, explicit professional development is absent in most graduate training. Such exposure is critical in CPS given the field's potent role in our ever-evolving smart world, and CPS practitioners must attend to social issues regarding ethics, safety, privacy, communication, and policy. This traineeship will address these issues and drive CPS graduate education nationwide by developing a novel, comprehensive graduate training program that involves orientation, normalization modules, elective courses, experiential convergence research activities, professional development workshops, and a hands-on, testbed-driven educational curriculum. Students will acquire both the technical depth and the integrative transdisciplinary understanding of CPS and its associated application domains to be successful in CPS-related careers. During their time in the program, trainees will engage in transdisciplinary CPS research on projects related to challenges in smart health, smart cities, and autonomous systems. These research efforts have the potential for significant scientific and application impact, such that a smarter world can be achieved and associated societal grand challenges can be addressed.The NSF Research Traineeship (NRT) Program is designed to encourage the development and implementation of bold, new potentially transformative models for STEM graduate education training. The program is dedicated to effective training of STEM graduate students in high priority interdisciplinary research areas through comprehensive traineeship models that are innovative, evidence-based, and aligned with changing workforce and research needs.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.

增强资源可用性，健康，安全和幸福感可以通过我们感知，分析和行动的能力来增强我们的世界，高效，安全和安全的工程系统。要实现这样的系统，需要深入了解网络和物理世界之间的接口，从而建立网络物理系统（CPS）领域。虽然CPS作为一门学科和应用使能器在过去十年中发生了巨大的变化，但目前的研究生培训并没有为学生在CPS中的基本发现和创新做好充分的准备，也没有将研究有效地转化为应用开发。这个国家科学基金会研究培训（NRT）奖给弗吉尼亚大学（UVA）将通过培训研究生来满足这一需求，以追求基础CPS发现和创新，并与应用领域专家合作，实现更智能的地球，特别是在智能健康，智能城市和自主系统领域。该培训计划预计将培训一百五十八（158）硕士和博士生，包括三十三（33）资助的博士生，从土木和环境工程，计算机科学，电气和计算机工程，机械和航空航天工程，以及系统和信息engineering.Current CPS研究生培训是缺乏三个关键的方式，将在这个项目中解决。首先，目前的课程没有灌输新的科学发现和CPS领域的翻译应用所需的综合知识。第二，大多数学生没有足够强大的融合活动的经验，作为他们的培训的一部分。这种缺乏不仅存在于传统的工程和计算教育中，而且还延伸到对目标应用领域和相关重大挑战的分析中。第三，大多数研究生培训缺乏明确的专业发展。鉴于该领域在我们不断发展的智能世界中的重要作用，这种曝光在CPS中至关重要，CPS从业人员必须关注有关道德，安全，隐私，沟通和政策的社会问题。本次培训将解决这些问题，并通过开发一个新颖的，全面的研究生培训计划，包括方向，规范化模块，选修课程，经验融合研究活动，专业发展研讨会和动手，测试驱动的教育课程，推动CPS研究生教育全国范围内。学生将获得CPS及其相关应用领域的技术深度和综合跨学科理解，以便在CPS相关职业中取得成功。在该计划期间，学员将参与与智能健康，智能城市和自主系统挑战相关的跨学科CPS研究项目。 这些研究工作有可能产生重大的科学和应用影响，从而实现一个更智能的世界，并解决相关的社会重大挑战。NSF研究培训（NRT）计划旨在鼓励开发和实施大胆的，新的潜在变革模式，用于STEM研究生教育培训。该计划致力于通过全面的培训模式，在高优先级的跨学科研究领域对STEM研究生进行有效培训，这些模式具有创新性，以证据为基础，并与不断变化的劳动力和研究需求保持一致。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

COMPASS: a formal framework and aggregate dataset for generalized surgical procedure modeling

• DOI: 10.1007/s11548-023-02922-1
• 发表时间: 2022-09
• 期刊: International Journal of Computer Assisted Radiology and Surgery
• 影响因子: 3
• 作者: Kay Hutchinson;Ian Reyes;Zongyu Li;H. Alemzadeh

Towards Surgical Context Inference and Translation to Gestures

• DOI: 10.1109/icra48891.2023.10160383
• 发表时间: 2023-02
• 期刊: 2023 IEEE International Conference on Robotics and Automation (ICRA)
• 作者: Kay Hutchinson;Zongyu Li;Ian Reyes;H. Alemzadeh

Influence of the Ground, Ceiling, and Sidewall on Micro-Quadrotors

• DOI: 10.2514/1.j059787
• 发表时间: 2021-04
• 期刊: AIAA Journal
• 影响因子: 2.5
• 作者: Darius Carter;Lauren M. Bouchard;D. Quinn

SaSTL: Spatial Aggregation Signal Temporal Logic for Runtime Monitoring in Smart Cities

• DOI: 10.1109/iccps48487.2020.00013
• 发表时间: 2019-08
• 期刊: 2020 ACM/IEEE 11th International Conference on Cyber-Physical Systems (ICCPS)
• 作者: Meiyi Ma;E. Bartocci;Eli Lifland;J. Stankovic;Lu Feng

A Graduate Curriculum in Cyber-Physical Systems

网络物理系统研究生课程

• DOI: 10.1109/mdat.2020.3043376
• 发表时间: 2021
• 期刊: IEEE Design & Test
• 影响因子: 2
• 作者: Stankovic, John A.;Alemzadeh, Homa;Campbell, Brad;Lach, John;Feng, Lu;Fleming, Cody;Goodall, Jonathan;Odumosu, Toluwalogo;Quinn, Daniel;Tian, Yuan
• 通讯作者: Tian, Yuan