Category Archives: Research

New Funding: 4-year NSF CISE FutureCore Award on Automated AR Guidance Monitoring

We are grateful to the NSF for supporting our work on automated AR guidance monitoring, in pervasive AR and human-robot collaboration (HRC) applications. This award will support our joint work with Miroslav Pajic’s group at Duke, which is very exciting … Continue reading

Posted in Augmented reality, Edge computing, Funding and Awards, Highlights, Mobile computing, Research, Robotics, Safety, Security | Leave a comment

Keynote and Technology Demonstrations at IEEE VisArch Co-located with ISCA

It was our pleasure to participate in IEEE VisArch Workshop co-located with IEEE ISCA, which came to Raleigh, NC in June 2026. Professor Gorlatova delivered a keynote speech titled “Intelligent and Secure XR: Building Adaptive Spatial Systems That Know When … Continue reading

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Recent I3T Lab Graduate Sarah Eom Highlighted by the Duke University Center for Computational and Digital Health Innovation

Sarah Eom, PhD, was highlighted by the Duke University Center for Computational and Digital Health Innovation for her work at the intersection of next-generation immersive systems and healthcare. Congratulations Dr. Eom!

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2025 in the Duke I3T Lab: Students, Systems, and Community

In 2025, two Duke I3T Lab members received their PhDs and moved on to exciting careers in industry: Dr. Sarah Eom joined Exponent as a Biomedical Engineering Consultant; Dr. Lin Duan joined NVIDIA as an XR-AI Engineer. There were several exciting developments in … Continue reading

Posted in Academia, Achievement, Career and Leadership, Duke University, Funding and Awards, Highlights, Industry, Industry impact, Publications and Demonstrations, Research, Students and Mentorship, Undergraduate research, Undergraduate research | Leave a comment

From Gaming Gear to ICU Rehabilitation: Bringing XR into Clinical Practice

The November 2025 issue of Duke I/O Magazine includes an article titled “Transforming Reality: How Gaming Gear is Impacting Health Care,” featuring a lovely summary of our ongoing collaboration with the Duke University School of Nursing. Together, we are designing … Continue reading

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Edge Computing’s Next Decade: Intelligent Spatial Systems – and a Responsibility to Get Them Right

It was my genuine pleasure to get to share my thoughts about the past and future of edge computing at the ACM Symposium on Edge Computing 2025 panel, “Looking Back and Moving Forward: 10 Years of Edge Computing.” My highest-level … Continue reading

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Invited Talk at Augmented World Expo (AWE) USA 2025

Speaking at Augmented World Expo (AWE) USA, a premier industry XR for a second time – what a thrill! Last time I presented at AWE was back in 2021, when my talk was about edge- and IoT-supported AR. This time … Continue reading

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Postdoc in Context-aware Augmented Reality

Duke University I3T Lab is looking for a postdoc in the area of edge computing-supported context-aware augmented reality. The postdoc will work closely with PI Gorlatova and two very capable and driven ECE and CS PhD students, and will have … Continue reading

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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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SenSys 2022 Demo: Through an AR Lens

Sarah Eom has demonstrated our ongoing work on AR-based magnification for hand-held loupes at ACM SenSys’22 in Boston, MA. This work is based on a collaboration with Miroslav Pajic (Duke ECE) and Majda Hadziahmetovic (Duke Ophthalmology). [Demo description PDF] [Accompanying poster PDF]

Posted in AR-assisted surgery, Augmented reality, Augmented Reality For Good, Conferences, Demonstrations, Duke University, Edge computing, Internet of Things, Mobile computing, Research | Comments Off on SenSys 2022 Demo: Through an AR Lens