Maria Gorlatova, Ph.D.

简介

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. nDr. Gorlatova earned her Ph.D. in Electrical Engineering from Columbia Univ

教育经历

• B.S. University of Ottawa (Canada), 2004
• M.S. University of Ottawa (Canada), 2007
• Ph.D. Columbia University, 2013
• Associate Research Scholar, Princeton University 2016 - 2018 (2016 - 2018) Princeton University

代表成果

• Eom S, Hu T, Xu W, Zou L, Escobar E, Streisfeld G, et al. Rhythms of Recovery: Patient-Centered Virtual Reality Exergame for Physical Rehabilitation in the Intensive Care Unit. IEEE transactions on visualization and computer graphics. 2026 May;32(5):3679u201389.
• Fronk C, Ye H, Pajic M, Gorlatova M. Demo: Control the ARmada: LMM Coordination for Multi-Robot AR-HRC. In: Hotmobile 2026 Proceedings of the 2026 ACM 27th International Workshop on Mobile Computing Systems and Applications. 2026. p. 174.
• Ye H, Hu T, Gorlatova M. No Guide, No Cheat: Detecting Smart Glasses via AR Optical Signatures. In: Hotmobile 2026 Proceedings of the 2026 ACM 27th International Workshop on Mobile Computing Systems and Applications. 2026. p. 91u20136.
• Eom S, Ma T, Pajic M, Gorlatova M, Hadziahmetovic M. LIO-VisionAR: Intelligence-enabled augmented reality guidance for laser indirect ophthalmoscope-based retinal laser therapy. Intelligence Based Medicine. 2026 Mar 1;13.
• Scargill T, Eom S, Chen Y, Gorlatova M. Ambient Intelligence foru00a0Next-Generation AR. In: Handbook of the Metaverse. 2026. p. 3u201353.
• Lin J, Xiu Y, Gorlatova M. User Prompting Strategies and Prompt Enhancement Methods for Open-Set Object Detection in XR Environments. In: Proceedings 2026 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops Vrw 2026. 2026. p. 66u201371.
• Baek S, Qu Z, Gorlatova M. AR-TMT: Investigating the Impact of Distraction Types on Attention and Behavior in AR-based Trail Making Test. In: Proceedings of the ACM Symposium on Virtual Reality Software and Technology VRST. 2025.
• Xiu Y, Gorlatova M. Detecting Visual Information Manipulation Attacks in Augmented Reality: A Multimodal Semantic Reasoning Approach. IEEE transactions on visualization and computer graphics. 2025 Nov;31(11):9645u201355.
• Baek S, Qu Z, Gorlatova M. Demo: Evaluating Attention Vulnerabilities to Distraction with an AR Trail Making Test (AR-TMT). In: Mobihoc 2025 Proceedings of the 2025 International Symposium on Theory Algorithmic Foundations and Protocol Design for Mobile Networks and Mobile Computing. 2025. p. 499u2013500.
• Qu Z, Hu T, Gorlatova M. Demo: More Than Just Compressions: Attentional Tunneling in Augmented Reality-Guided Cardiopulmonary Resuscitation. In: Mobihoc 2025 Proceedings of the 2025 International Symposium on Theory Algorithmic Foundations and Protocol Design for Mobile Networks and Mobile Computing. 2025. p. 497u20138.