IUCRC Phase I Oakland University: Center for Pervasive Personalized Intelligence (PPI)

IUCRC 第一阶段 奥克兰大学：普适个性化情报中心 (PPI)

• 批准号: 2231619
• 负责人: Marouane Kessentini
• 金额: $ 37.5万
• 依托单位: Oakland University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-04-15 至 2025-12-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2231619&HistoricalAwards=false
• 关键词: IUCRC; Phase; Oakland; University; Center

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 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 Pervasive Personalized Intelligence (PPI) will be brought about by collaborative research efforts between industry and Oakland University (OU), which will advance the areas of intelligent transportation, edge intelligence, and smart energy.Researchers at OU will investigate foundational research under three thrusts: Intelligent Transportation/Edge AI, Software Engineering Intelligence, and Smart Energy. The proposed research projects will investigate several challenges related to managing the complexity in deploying ML applications on the edge in constrained hardware environments such as embedded devices in cars; developing personalized, context-aware sensing-analysis-actuation solutions in smart vehicles and enabling smart electric systems that help customers use the most energy when demands are lower. These research projects are related to the next step in IoT technologies evolution which involves developing AI and machine learning applications that run on the edge, closer to where data is produced and consumed such as embedded devices in smart cars.Advances in IoT impact many facets of everyday life. The PPI Center explores research thrusts in Artificial Intelligence, Smart Energy, Intelligent Transportation, Computing Systems, Programmability, 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 and robotics. The research outputs will be disseminated through publications, research presentations to industry and academia, open-source code and industrial collaborations. The Center will train graduate students through hands-on experience on projects relevant to industrial collaborators. The educational activities include summer schools for industry engineers and K-12 outreach through partnerships with OU’s programs.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. This repository will be maintained for the lifetime of the center and the URL will be http://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（例如，手机、家用电器、车辆等）的生态系统。通过互联网相互连接。该中心的目标是使下一代物联网系统更加主动和个性化，而不影响安全和隐私，从而改善决策，提高效率并实现新型计算应用。这一普及个性化智能（PPI）将由工业界和奥克兰大学（Oakland University，Oakland University）之间的合作研究努力带来，这将推动智能交通，边缘智能和智能能源领域的发展。Oakland University的研究人员将在三个方向下调查基础研究：智能交通/边缘AI，软件工程智能和智能能源。拟议的研究项目将调查与管理受限硬件环境（如汽车中的嵌入式设备）边缘部署ML应用程序的复杂性相关的几个挑战;在智能车辆中开发个性化，上下文感知的传感-分析-驱动解决方案，并实现智能电力系统，帮助客户在需求较低时使用最多的能源。这些研究项目与物联网技术发展的下一步有关，涉及开发在边缘运行的人工智能和机器学习应用程序，更接近数据产生和消费的地方，例如智能汽车中的嵌入式设备。物联网的进步影响日常生活的许多方面。PPI中心探索人工智能，智能能源，智能交通，计算系统，可编程性，可视化以及计算机安全和隐私方面的研究方向，这些研究方向广泛适用于物联网系统以外的各种其他科学领域，如环境科学，农业，生物学和机器人技术。研究成果将通过出版物、向工业界和学术界的研究报告、开源代码和工业合作传播。该中心将通过与工业合作者相关的项目的实践经验来培训研究生。教育活动包括为行业工程师举办暑期学校，以及通过与PNAS项目合作开展K-12推广活动。PPI中心将维护一个可公开访问的项目库，该库将存储开源代码、公开可用的数据集、论文和其他可以向公众传播的研究成果。该存储库将在中心的整个生命周期内进行维护，URL将是http://ppicenter.org.This奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。