Category Archives: Communication networks

Appearing at IEEE INFOCOM’23: Edge-Assisted Adaptive SLAM with Resource Constraints

AdaptSLAM, our recent work led by Ying Chen, explores new approaches for adapting edge computing-supported Visual and Visual-Inertial Simultaneous Localization and Mapping (V- and VI-SLAM) to computation and communication resource constraints. Adapt SLAM’s system architecture. Our design centers on the … Continue reading

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IEEE INFOCOM 2022 Paper and Demo

This week Ying Chen is presenting our work on evaluating and exploiting characteristics of user pose in VR at IEEE INFOCOM’22, in a paper and an accompanying demonstration:  VR Viewport Pose Model for Quantifying and Exploiting Frame Correlations presents the … Continue reading

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I3T Lab Hiring a Postdoc

Duke University I^3T Lab has an opening for a postdoc.  We work in the area of pervasive mobile and sensing systems broadly, and pervasive mobile Augmented Reality (AR) and next-generation intelligence for the Internet of Things in particular. Our work is generously supported by the … Continue reading

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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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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 the Fog and Edge from the Practitioners’ … Continue reading

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2016 IEEE Communications Society Young Author Best Paper Award

Aya Wallwater, Gil Zussman, and myself received the 2016 IEEE Communications Society Young Author Best Paper Award at the 2016 IEEE GLOBECOM earlier this week, for our paper on measurements and algorithms for networks of energy harvesting nodes that appeared … Continue reading

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EnHANTs Project Demo Video

We have put together a video of the EnHANTs testbed demonstration, based on the demonstration we presented — and got the Best Student Demo Award for — at ACM SenSys 2011 back in November. The video is available here.

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Bright Future for Wearable Smart Devices?

This week’s Economist has a piece on Marc Andreessen, a founder of Mosaic and Netscape turned venture capitalist. One of the things he apparently believes is that there soon be drastic changes in realm of personal technology and “body area … Continue reading

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