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Center Overview
The Internet of Things (IoT) marks the dawn of a technological revolution that rivals the industrial revolution. In this new era, intelligent computing becomes anticipatory, proactive, and adaptive. The next big growth in IoT systems will come from pushing Pervasive Personalized Intelligence (PPI) to the edge of the network, where latency is critical, and mobility, privacy, and context awareness are essential qualities of the application.
The goal of the Center for Pervasive Personalized Intelligence (PPI) 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. The PPI Center will support the thrusts that enable an entirely new class of applications with intelligence that is predictive instead of reactive, thus making processes more efficient and saving time, energy, and money.
Operationalizing compute-intensive AI applications to run on the edge, where compute resources are constrained, is a fundamental technical challenge. Moreover, their complexity will also pose new challenges for security, governance, programmability, and usability. The multi-university, multi-industry PPI Center can address these formidable challenges with a broader solution strategy.
The PPI Center works alongside industry members: (i) as a research and development partner to help them build a platform on which they can build smart applications for various verticals, and (ii) as a center of excellence to create and disseminate a systematic body of knowledge required for building PPI applications.
Universities
- Oakland University
- Oregon State University
- University of Colorado, Boulder
Center Personnel
Daniel Dig
Center Director
danny.dig@colorado.edu
Weng-Keen Wong
Site Director
wongwe@oregonstate.edu
Marouane Kessentini
Site Director
marouane@umich.edu
Research Focus
The goal of the PPI Center is to advance technologies related to pervasive personalized intelligence for the Internet of Things. The five core PPI platform thrusts are in Data Science, Systems, Security and Privacy, Programmability, and Visualization.
- Data Science. Data Science is critical for analyzing the scale of data that our industry members collect. Our expertise in artificial intelligence and machine learning will enable us to tackle the following key challenges: detecting meaningful anomalies in readings from sensors and wearables, learning most effectively about people when we only get a slice of data from each person, extracting meaningful patterns from extremely noisy telemetry data produced by IoT devices and increasing trust and reliability of machine learning components at the core of PPI.
- Systems. The smart environment senses, and the networking infrastructure ensures service quality. Can we develop personalized, context-aware sensing-analysis-actuation solutions in smart environments? How do we sense and monitor human attention and focus in an invisible and non-obtrusive way? Can we develop fundamental system-level services at the middleware layer to integrate mobile nodes, IoT devices and edge servers?
- Security and Privacy. With Smart PPI applications collecting and storing even more data about people, products and processes, the footprint of security attacks significantly expands. How do we securely safeguard users’ personal data? How do we compute on users’ private data without revealing private information?
- Programmability. Smart PPI applications are programmed by developers. How do we enable software developers to effectively create rich PPI applications that are secure, privacy-preserving, and reliable? What programming models, specification approaches, and analysis-validation-verification techniques provide a disciplined approach for programming security and reliability into PPI components? How do we support engineers to continuously evolve and refine their deployed PPI applications?
- Visualization and Visual Analytics. How do we translate data into insight visually? Can we make this process of data-to-insight not only possible but also easy for our users? How can we help users better understand what their AI programs are telling them?
Awards
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. Read More >
Researchers at OSU will investigate foundational research under three thrusts. First, under the AI thrust, investigators will develop new AI algorithms in anomaly detection, transfer learning, time series analysis and explainable AI. Second, for the security and privacy thrust, investigators will explore methods for private computation, in which several parties use private data in a computation, and learn only the result of the computation without learning any other private information. Finally, under the visualization thrust, investigators will explore methods to help data stakeholders, research scientists, and policymakers to understand their data and/or make sense of decisions made by AI systems.
Advances in IoT will impact many facets of everyday life. The PPI Center explores research thrusts in Artificial Intelligence, 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 OSU’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. Read More >
Researchers at CU will investigate foundational research under three thrusts. First, under the Computing Systems thrust, investigators will develop fundamental, developer-friendly, system-level services at the middleware layer to integrate mobile nodes, IoT devices and edge servers. Second, for the Programmability thrust, investigators will create new techniques that enable software developers to effectively create and evolve rich PPI applications that, by construction, are secure, privacy-preserving and reliable. Finally, under the Visualization thrust, investigators will explore methods to help data stakeholders, research scientists, and policymakers to understand their data and/or make sense of decisions made by Artificial Intelligence (AI) systems.
Advances in IoT impact many facets of everyday life. The PPI Center explores research thrusts in Artificial Intelligence, 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 CU’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. Read More >