Category Archives: Edge computing

Edge-based Provisioning of Holographic Content for Augmented Reality

Our work on using edge computing to transmit holograms to augmented reality (AR) users has recently appeared in the IEEE SmartEdge Workshop, co-located with IEEE PerCom, as an invited paper. [ Paper PDF ] [ Presentation slides ] [ Video … Continue reading

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5 Undergraduate Independent Study Projects On Mobile Augmented Reality Completed in Fall 2019

5 independent undergraduate research projects have been completed in the I^3T lab this semester. In these projects students investigated different elements of mobile augmented reality (AR), including edge-based integration of AR with low-end IoT devices, user perception of different types … Continue reading

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Two Demos Showcased at ACM SenSys’19

Two demos developed in the lab were presented at ACM SenSys’19 in New York City, NY, in November 2019. A demo led by Joseph DeChicchis, titled Adaptive AR Visual Output Security Using Reinforcement Learning Trained Policies, demonstrates how reinforcement learning-based … Continue reading

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Summer Research Experience for Undergraduates Students Presenting Their Work on Edge Computing and Augmented Reality

Two summer Research Experiences for Undergraduates students have presented their summer projects at the Duke University REU showcase. Courtney Johnson presenting his summer research on precision eye tracking for Magic Leap performance and user experience optimization. Jovan Stojkovic, Duke ECE … Continue reading

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Undergraduate Students Presenting Their Work on Next-generation Augmented Reality at Duke University Undergraduate Research Showcases

Three undergraduate students have presented the results of their independent studies in CS and ECE poster sessions and demonstrations here at Duke University. Michael Glushakov presented a poster and a demo of his work on edge computing-supported augmented reality with … Continue reading

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NSF Computer Systems Research Grant: Multi-tier Service Architecture in IoT-Edge-Cloud-Paradigms

Yale University Prof. Wenjun Hu and Duke University Prof. Maria Gorlatova received an NSF Computer Systems Research (CSR) Small Collaborative grant to examine joint concurrent optimization of multiple applications in multi-tier edge/fog computing architectures. [Award Information]

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2017 IEEE Fog World Congress

IEEE Fog World Congress was a blast. It takes a lot to put together an inaugural conference on a new topic — the organizing committee did a great job putting the event together. Moderating theĀ Fog and Edge from the Practitioners’ … Continue reading

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NYC Media Lab Summit’17 Demonstration

We presented a demonstration of a fog computing testbed we designed and developed at the NYC Media Lab Summit in the New York City. The testbed use case we presented in this demonstration focused on computing a specific type of … Continue reading

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