IUCRC Planning Grant University of Michigan Dearborn: Center for Pervasive Personalized Intelligence Center

IUCRC 规划拨款密歇根大学迪尔伯恩分校：普适个性化情报中心

• 批准号: 2217506
• 负责人: Marouane Kessentini
• 金额: $ 2万
• 依托单位: Oakland 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: 2022-01-01 至 2023-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2217506&HistoricalAwards=false
• 关键词: IUCRC; Planning; Grant; University; Michigan

The Internet of Things (IoT) refers to the ecosystem of computing devices (e.g. cellphones, household appliances, vehicles, etc.) connected to each other via the internet. The goal of the Pervasive Personalized Intelligence (PPI) Center is to enable the next generation of IoT systems to be more proactive and personalized without compromising security and privacy, thereby improving decision making, increasing efficiency and enabling new types of computing applications. This proposal will study the feasibility of establishing a new PPI site at the University of Michigan-Dearborn (UM-Dearborn) in collaboration with industry and the two PPI sites at the University of Colorado Boulder (CU) and Oregon State University (OSU).Researchers at UM-Dearborn will investigate foundational research under three thrusts: Intelligent Transportation, Smart Energy, and Software Engineering Intelligence. First, under the intelligent transportation thrust, investigators will develop new algorithms and techniques enabling personalized and context-aware maneuvering of connected and automated vehicles via artificial intelligence, i.e., intelligent personalization. Second, for the smart energy thrust, investigators will create new techniques that enable novel AI-assisted personalized demand response technologies for electric prosumers. Finally, under the software engineering intelligence thrust, investigators will explore methods to help software developers to build optimized PPI applications that can be efficiently and securely deployed and evolved in cyber-physical systems.Advances in IoT impact many facets of everyday life. The PPI Center explores research thrusts in Artificial Intelligence, Computing Systems, Programmability, Energy, Visualization, and Computer Security and Privacy that are broadly applicable beyond IoT systems to a variety of other scientific domains such as environmental science, agriculture, biology, transportation, and robotics. The research outputs will be disseminated through publications, research presentations to industry and academia, open-source code and industrial collaborations. The PPI Center is committed to broadening participation in computing through, for example, summer schools for industry engineers and K-12 outreach through partnerships with UM-Dearborn’s programs. To improve the retention of underrepresented populations, the proposed Center will work with technology associations to showcase PPI applications that help humanity.The PPI Center will maintain a publicly accessible project repository that will store open-source code, publicly available datasets, papers and other research outputs that can be disseminated to the general public on ppicenter.org.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.

物联网(IoT)是指计算设备(如手机、家用电器、车辆等)的生态系统。通过互联网相互连接。普适个性化智能(PPI)中心的目标是使下一代物联网系统在不影响安全和隐私的情况下更加主动和个性化，从而改善决策、提高效率并支持新型计算应用。这项提案将研究在密歇根大学迪尔伯恩分校(UM-Dearborn)与工业界以及科罗拉多大学(CU)和俄勒冈州立大学(OSU)的两个PPI站点合作建立一个新的PPI站点的可行性。UM-Dearborne的研究人员将在三个推动力下调查基础研究：智能交通、智能能源和软件工程智能。首先，在智能交通的推动下，调查人员将开发新的算法和技术，通过人工智能，即智能个性化，实现互联和自动化车辆的个性化和上下文感知操纵。其次，对于智能能源推力，调查人员将创造新的技术，使新型人工智能辅助的个性化需求响应技术能够为电力消费者提供支持。最后，在软件工程智能的推动下，调查人员将探索帮助软件开发人员构建优化的PPI应用程序的方法，这些应用程序可以在网络物理系统中高效、安全地部署和发展。物联网的进步影响到日常生活的许多方面。PPI中心探索人工智能、计算系统、可编程性、能源、可视化以及计算机安全和隐私等领域的研究成果，这些研究成果不仅适用于物联网系统，还适用于各种其他科学领域，如环境科学、农业、生物、交通和机器人。研究成果将通过出版物、向工业界和学术界的研究演示、开放源码和工业合作来传播。PPI中心致力于通过工业工程师的暑期学校和与密歇根大学迪尔伯恩分校的合作伙伴关系扩大K-12课程的参与，扩大对计算机的参与。为了更好地留住代表性不足的人群，拟建的中心将与技术协会合作，展示有助于人类的PPI应用程序。PPI中心将维护一个可公开访问的项目库，其中将存储开放源代码、公开可用的数据集、论文和其他研究成果，这些成果可以在ppicenter.org上向公众传播。该奖项反映了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。