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

Duke I3T Lab at IEEE VisArch Workshop co-located with IEEE 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 They Are Wrong;” PhD students Yanming Xiu and Christian Fronk brought their live technology demonstrations previously showcased as part of DARPA Intrinsic Cognitive Security Program PI meetings.

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I3T Lab Tour a Part of Regional NAE Meeting

It was our sincere pleasure to offer a Duke I3T Lab Tour as part of the National Academy of Engineers Regional Meeting held at Duke University in May 2026.

 

May 2026 NAE Regional Meeting attendees exploring live AR and VR demonstrations as part of the Duke University Pratt School of Engineering lab tour

Just like the Frontiers of Engineering (FOE) NAE Symposium I attended back in 2021, the Regional Meeting was a real treat: it outlined both the promise and the challenges in the exciting and important space of commercial aviation, from multiple technical and non-technical perspectives. Like the FOE Symposium, it reminded me how exciting it is to be an engineer: to have not only an in-depth understanding of the problems and the underlying processes, but also know how to solve them. Thankful for the organizers for the opportunity to participate in this event and to contribute to it. [ Short video with several snippets from the lab tour ]

 

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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 the careers of our alums, too: Dr. Ying Chen joined Penn State University as an Assistant Professor. We enjoyed getting to catch up with her at IEEE VR and ACM VRST 2025.

Duke I3T Lab at IEEE VR 2025. Proud advisor moment: sitting in the audience while my former PhD student presented work from her own research group.

Duke I3T Lab members published across multiple key venues, including IEEE TVCG, IEEE VR, IEE ISMAR,  ACM VRST, AACL Findings, and IEEE Internet Computing, and received multiple awards. Yanming Xiu received the IEEE ISMAR Best Paper Award, the IEEE ISMAR Doctoral Consortium Best Presentation Award, and Duke ECE Research Retreat Best Presentation Runner-up recognition. Under Yanming’s guidance, lab’s high-school affiliates Joshua Chilukuri and Shunav Sen received the 2025 IEEE Universal Augmented Interaction Workshop Best Paper Award.

This year also brought important new support for our work. The $743K NSF TIP Breaking Low Award will support our work on low-latency multi-user XR for rehabilitation. The $250K DARPA Director’s Fellowship will allow us to expand our effort in runtime oversight of AR experiences.

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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 opportunity to participate in the activities of the NSF AI ATHENA Institute for Edge Computing Leveraging Next Generation Networks.

The position is best suited to a person who has experience with ML in mobile systems or pervasive sensing contexts, such as real-time human activity recognition, real-time edge video analytics, or ML-based QoS or QoE prediction. Exposure to augmented and virtual reality (e.g., Unity or Unreal, mobile AR SDKs, AR or VR QoS and QoE, V/VI-SLAM) is advantageous but not required.

If you are interested in this position, please e-mail maria.gorlatova@duke.edu with your up to date CV, transcripts, and 2 papers that you believe represent your best work.

This position can start in September 2023, January 2024, or May 2024.

Lab’s previous postdoctoral associate Dr. Guohao Lan has successfully secured an independent Assistant Professor position at a top university.

Duke University is an exceptionally selective private Ivy Plus school, with a beautiful gothic campus located in a lively progressive Raleigh-Durham area of North Carolina. It is a wonderful place to work and a wonderful place to live.

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Duke VISION Magazine Profile

Sarah Eom’s research on augmented reality for retinal laser therapy is profiled by the Duke Eye Center VISION Magazine.  This project, done in collaboration with Miroslav Pajic (Duke ECE) and Majda Hadziahmetovic (Duke Ophthalmology), not only demonstrates a new application of augmented reality, but also advances the state of AR support for detail-oriented tasks broadly.

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Spring 2023 Student Successes

We have had an exciting end of the Spring 2023 semester, with many recognitions of outstanding and cross-disciplinary achievements of group’s students. Neha Vutakuri‘s year-long engagement with the lab culminated with a successful undergraduate dissertation defense and graduation with distinction in Neuroscience. Seijung Kim, who has been with us for almost two years and made important and unique contributions to two different projects, graduated with distinction in Biomedical Engineering and received the Howard G. Clark Award for outstanding undergraduate research. Ritvik Janamsetty, a Pratt Fellow in the ECE Department, received the 3rd place Independent Study Best Poster Award at the ECE undergraduate research showcase. Lin Duan received the 2nd place Best Poster Award at the Athena NSF AI Institute annual showcase. Heartfelt congratulations!

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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 two highlighted modules. We optimize our algorithms to run in real time on mobile devices. 

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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]

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ACM UbiComp 2022 Best Poster Award

A poster we presented at ACM UbiComp 2022 in Cambridge, UK, titled “IoT-Enabled Environment Illuminance Optimization for Augmented Reality“, received the ACM UbiComp’22 Best Poster Award. [ Poster submission  ] [ Poster presented at the conference ]

This poster outlines a system that uses a smart lightbulb, an edge server, and environmental sensors (a camera and a light sensor) to change the level of light in the environment to maximize the performance of two elements of augmented reality, pose tracking and eye tracking. To our knowledge, this is the first automatic environment optimization system for augmented reality that adapts to both environment lighting and textures.

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Two papers appearing at IEEE ISMAR’22

We are delighted to have two of lab’s papers appear at the top AR/MR conference, IEEE International Symposium on Mixed and Augmented Reality (ISMAR) 2022 (acceptance rate: 21%).

In a paper led by PhD student Sarah Eom titled NeuroLens: Augmented Reality (AR)-based Contextual Guidance through Surgical Tool Tracking in Neurosurgery, we developed a system that provides neurosurgeons with real-time guidance on how to approach a target located inside a patient’s skull. This system, developed in collaboration with Dr. Shervin Rahimpour, was evaluated in a study with 33 medical students, who conducted both AR-guided and unassisted (freehand) trials of catheter insertion into a phantom model of a human head. The study has demonstrated that our system significantly improves students’ targeting accuracy. The study has also revealed important differences in the behavior of participants who achieved different levels of results in AR-assisted settings. More than 93% of the participants agreed or strongly agreed that the developed system is useful for learning to conduct neurosurgical procedures. [ Paper PDF ] Continue reading

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