Overview
Dr. Maria Gorlatova's research is at the intersection of sensor, mobile, and pervasive computer systems and communications and networking. She creates human-facing pervasive computing platforms that enable transformative applications and support users in leading healthy and productive lives and in reaching personal and professional goals.
The focus of her recent work is on advanced augmented reality (AR) platforms that integrate edge computing and the Internet of Things (IoT) to enable contextual, responsive, and scalable AR experiences. She conduct research in edge AI, collaborative and infrastructure-assisted spatial and semantic awareness for AR, AR user cognitive context sensing, and AR QoS and QoE evaluation.
Dr. Gorlatova earned her Ph.D. in Electrical Engineering from Columbia University, and her M.Sc. and B.Sc. (Summa Cum Laude) degrees in Electrical Engineering from University of Ottawa, Canada. She has several years of industry experience, where she had been affiliated with Telcordia Technologies, IBM, and D. E. Shaw Research. She came to Duke from Princeton University, where she held the positions of an Associate Research Scholar in the Electrical Engineering Department and an Associate Director of the Princeton EDGE Lab.
Dr. Gorlatova received multiple awards including the 2025 DARPA Director’s Fellowship Award, 2023 DARPA Young Faculty Award, 2021 NSF CAREER Award, 2021 Facebook Research Award, 2023 Cisco Research Award, 2020 and 2023 IBM Faculty Awards, 2016 IEEE Communications Society Young Author Best Paper Award, 2020 ACM/IEEE IPSN Best Research Artifact Award, and 2011 IEEE Communications Society Award for Advances in Communications. She also received the Google Anita Borg USA Fellowship, Columbia University Presidential Fellowship, and top national Alexander Graham Bell Canadian Graduate Scholar (CGS) NSERC M.Sc. and Ph.D. Fellowships. Dr. Gorlatova serves on technical program committees of multiple conferences including ACM SenSys, ACM/IEEE IPSN, IEEE INFOCOM, IEEE ICDCS, ACM SIGCOMM, and ACM MobiCom. She chaired the TPC of the Edge Computing track of IEEE ICDCS, the TPC of ACM/IEEE IPSN, and the TPC of ACM/IEEE SenSys.
Current Appointments & Affiliations
James N. & Elizabeth H. Barton Associate Professor of Electrical & Computer Engineering
·
2025 - Present
Electrical and Computer Engineering,
Pratt School of Engineering
Associate Professor of Electrical and Computer Engineering
·
2025 - Present
Electrical and Computer Engineering,
Pratt School of Engineering
Assistant Professor of Computer Science
·
2018 - Present
Computer Science,
Trinity College of Arts & Sciences
Faculty Network Member of the Duke Institute for Brain Sciences
·
2018 - Present
Duke Institute for Brain Sciences,
University Institutes and Centers
Recent Publications
AR-TMT: Investigating the Impact of Distraction Types on Attention and Behavior in AR-based Trail Making Test
Conference Proceedings of the ACM Symposium on Virtual Reality Software and Technology VRST · December 4, 2025 Despite the growing use of AR in safety-critical domains, the field lacks a systematic understanding of how different types of distraction affect user behavior in AR environments. To address this gap, we present AR-TMT, an AR adaptation of the Trail Making ... Full text CiteDetecting Visual Information Manipulation Attacks in Augmented Reality: A Multimodal Semantic Reasoning Approach.
Journal Article IEEE transactions on visualization and computer graphics · November 2025 The virtual content in augmented reality (AR) can introduce misleading or harmful information, leading to semantic misunderstandings or user errors. In this work, we focus on visual information manipulation (VIM) attacks in AR, where virtual content change ... Full text CiteDemo: Evaluating Attention Vulnerabilities to Distraction with an AR Trail Making Test (AR-TMT)
Conference Mobihoc 2025 Proceedings of the 2025 International Symposium on Theory Algorithmic Foundations and Protocol Design for Mobile Networks and Mobile Computing · October 23, 2025 We present AR-TMT, an AR adaptation of the Trail Making Test designed to evaluate how different types of distractors affect user attention in the AR environment. Built on the Magic Leap 2, AR-TMT captures gaze behavior as users perform a cognitively demand ... Full text CiteRecent Grants
DoD Center of Excellence in Advanced Computing and Software (COE-ACS)
ResearchCo-Principal Investigator · Awarded by Georgia State University · 2023 - 2028Collaborative Research: Ideas Lab: Breaking Low: Play Hard, Live Better: End-to-End Delivery of Interactive Multi-player XR Rehabilitation Games
ResearchPrincipal Investigator · Awarded by National Science Foundation · 2025 - 2027Collaborative Research: CSR: Medium: Adaptive Environmental Awareness for Collaborative Augmented Reality
ResearchPrincipal Investigator · Awarded by National Science Foundation · 2023 - 2027View All Grants
Education, Training & Certifications
Columbia University ·
2013
Ph.D.
University of Ottawa (Canada) ·
2007
M.S.
University of Ottawa (Canada) ·
2004
B.S.