Author Archives: Maria Gorlatova

About Maria Gorlatova

Dr. Maria Gorlatova is the Sternberg Family Associate Professor of Electrical and Computer Engineering at Duke University. Her research centers on pervasive computing technologies, with a focus on spatial computing and next-generation augmented reality. She received her Ph.D. in Electrical Engineering from Columbia University and her M.Sc. and B.Sc. degrees (Summa Cum Laude) in Electrical Engineering from the University of Ottawa, Canada. She spent two years at Princeton University’s Electrical Engineering Department as an Associate Research Scholar and Associate Director of the Princeton University EDGE Lab. Dr. Gorlatova was named one of the N2Women Rising Stars and has received multiple awards, including the NSF CAREER Award, the DARPA Young Faculty Award (YFA), the DARPA Director’s Fellowship, the IEEE ISMAR 2025 Best Paper Award, the IEEE Communications Society Award for Advances in Communications, and research awards from Meta, Cisco, and IBM. She served as the TPC Co-chair of ACM/IEEE IPSN 2023, the General Co-Chair of the 2025 NSF Workshop on Networking and Systems Challenges in Immersive Computing, and the TPC Co-chair of ACM/IEEE SenSys 2025.

80 Races Completed!

By 2015, I had completed 50 races – reflections, from back then, are here. Ten years and five months later — also, two kids, one global pandemic, and one conquered tenure track later — I have now completed 80. My 80th … Continue reading →

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IEEE ISMAR 2025 Best Paper Award

Our paper titled “Detecting Visual Information Manipulation Attacks in Augmented Reality: A Multimodal Semantic Reasoning Approach” has been recognized with the Best Paper Award at IEEE ISMAR 2025, the premier XR conference. Heartfelt congratulations to the lead author, PhD student Yanming … Continue reading →

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Three Papers Appearing at IEEE ISMAR 2025

Three Duke I3T papers are appearing at IEEE ISMAR 2025: XR Reality Check: What Commercial Devices Deliver for Spatial Tracking evaluates tracking capabilities of 5 state-of-the-art XR devices (spoiler alert: Apple Vision Pro wins; also, all platforms meet perceptual requirements … 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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Gorgeous Saint-Malo; Thanks to IEEE VR 2025 for Bringing us There

I try to go for brief outdoor runs whenever I travel for work. In colder climates, that requires packing the suitcase a bit tighter, but it is generally worth it, as it gives me a fresh perspective on the places … Continue reading →

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LA Wildfires

Flew to LA for a DARPA PI meeting. The first day, the weather was seemingly gorgeous, and everything looked entirely non-ominous to us (the Californian attendees knew better and explained to us what was likely to come). The second day … 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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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 … Continue reading →

Posted in AR-assisted surgery, Augmented reality, Augmented Reality For Good, Edge computing, Highlights, Internet of Things, Students and Mentorship, Undergraduate research, Women in technology | Comments Off on Duke VISION Magazine Profile

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 … 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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