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.

Fall 2021: 9 BS Independent Studies on Next-Generation AR and VR

9 ECE and CS independent undergraduate research projects on next-generation AR and VR were completed in the lab over this semester. This work is supported in part by NSF grants CSR-1903136, CNS-1908051, and CAREER-2046072, and by an IBM Faculty Award. … Continue reading →

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I3T Lab Hiring PhD Students and Postdocs

Duke University I^3T Lab has multiple openings for PhD students and postdocs. 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. … Continue reading →

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Summer 2021: 3 REU Projects on Next-generation Mobile AR

This summer we were fortunate to be able to virtually host 3 Research Experience for Undergraduates (REU) students in the I^3T Lab, through the Duke University REU Site for Meeting Grand Challenges in Engineering. The research students were engaged in … Continue reading →

Posted in AR-assisted surgery, Augmented reality, Duke University, Gaming engines, Indoor environments, Internet of Things, Mobile computing, Technology, Undergraduate research | Comments Off on Summer 2021: 3 REU Projects on Next-generation Mobile AR

Apple is coming to Durham

Delightful news today: Apple is planning to build a brand new campus here in Durham, spending 1 bln dollars over 10 years, and creating 3,000 highly skilled jobs, in particularly in AI, ML, and software engineering. Exciting news for the … Continue reading →

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2021 US NAE Frontiers of Engineering Symposium

It was a true pleasure to attend the 2021 National Academy of Engineering Frontiers of Engineering Symposium (NAE FOE). The NAE FOE is unique in bringing together engineers from all engineering disciplines. It was a blast. A rare opportunity to … Continue reading →

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Fall 2020: 7 BS projects on mobile AR, VR, cognitive context sensing, and gaming engine-based algorithm training

7 ECE and CS independent undergraduate research projects have been completed in the I^3T lab over the Fall of 2020. The projects are summarized below. This work is supported in part by NSF grants CSR-1903136 and CNS-1908051, IBM Faculty Award, … Continue reading →

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ACM SenSys’20 paper: Gaze-based Cognitive Context Sensing

In our recent work that appeared in ACM SenSys 2020, we take a close look at the detection of cognitive context, the state of the person’s mind, through users’ eye tracking. Eye tracking is a fascinating human sensing modality. Eye movements … Continue reading →

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Finalist Team, Facebook Research Awards: Exploration of Trust in AR, VR, and Smart Devices

Jointly with the the group of Prof. Neil Gong, we were the finalists for the Facebook Research Exploration of Trust in AR, VR, and Smart Devices Awards. PI Gorlatova has previously contributed to the 2019 University of Washington Industry-Academia Summit on … Continue reading →

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IEEE/ACM IPSN Paper: Edge-assisted Collaborative Image Recognition for Mobile Augmented Reality

Our paper on image recognition for mobile augmented reality in the presence of image distortions appeared in IEEE/ACM IPSN’20 and received the conference’s Best Research Artifact Award [ Paper PDF ] [ Presentation slides ] [ Video of the presentation … 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 →

Posted in Augmented reality, Communication networks, Edge computing, Mobile computing, Publications and Demonstrations, Research, Students and Mentorship, Undergraduate research | Comments Off on Edge-based Provisioning of Holographic Content for Augmented Reality