Maria Gorlatova, Ph.D.

Research Themes

Trustworthy Computing

Research Interests

Architectures, algorithms, and protocols for emerging mobile pervasive systems and the Internet of Things. Our work crosses traditional discipline boundaries and requires thinking across multiple layers of system and protocol stacks. We are focusing on breaking the barriers for technologies that enable fundamentally new deployments and experiences, such as energy harvesting, artificial intelligence adapted to the Internet of Things constraints, and augmented reality.

Bio

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. 

rn
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.

Education

• B.S. University of Ottawa (Canada), 2004
• M.S. University of Ottawa (Canada), 2007
• Ph.D. Columbia University, 2013

Trainings & Certifications

• Associate Research Scholar, Princeton University 2016 - 2018 (2016 - 2018) Princeton University

Positions

• Associate Professor of Electrical and Computer Engineering
• Assistant Professor of Computer Science
• Faculty Network Member of the Duke Institute for Brain Sciences

Awards, Honors, and Distinctions

• DARPA Directoru2019s Fellowship Award. DARPA. 2025
• DARPA Young Faculty Award . DARPA. 2023
• National Science Foundation CAREER Award. National Science Foundation (NSF). 2021
• Best Research Artifact Award. IEEE IPSN. 2020
• N2 Women Rising Star. Networking Networking Women (N2Women). 2019
• Young Author Best Paper Award. IEEE Communications Society. 2016
• Jury Award for Outstanding Achievement in Communications. Columbia University Electrical Engineering Department. 2013
• Anita Borg USA Fellowship. Google. 2012
• Award for Advances in Communications. IEEE Communications Society. 2011
• Best Student Demonstration Award. ACM SenSys. 2011
• Presidential Fellowship. Columbia University. 2008
• Alexander Graham Bell Canada Graduate CGS-D Scholarship. Natural Sciences and Engineering Research Council Canada. 2008

Courses Taught

• NEUROSCI 494: Research Independent Study 2
• NEUROSCI 493: Research Independent Study 1
• EGR 393: Research Projects in Engineering
• ECE 899: Special Readings in Electrical Engineering
• ECE 891: Internship
• ECE 654: Edge Computing
• ECE 494: Projects in Electrical and Computer Engineering
• ECE 493: Projects in Electrical and Computer Engineering
• ECE 392: Projects in Electrical and Computer Engineering
• ECE 391: Projects in Electrical and Computer Engineering
• ECE 356: Computer Network Architecture
• ECE 292: Projects in Electrical and Computer Engineering
• ECE 291: Projects in Electrical and Computer Engineering
• COMPSCI 564: Edge Computing
• COMPSCI 394: Research Independent Study
• COMPSCI 393: Research Independent Study
• COMPSCI 356: Computer Network Architecture
• CMAC 491: Computational Media, Arts and Culture Independent Study

Publications

• Eom S, Kim S, Jackson J, Sykes D, Rahimpour S, Gorlatova M. Augmented Reality-Based Contextual Guidance Through Surgical Tool Tracking in Neurosurgery. IEEE transactions on visualization and computer graphics. 2025 Jul;31(7):3913u201328.
• Xiu Y, Scargill T, Gorlatova M. ViDDAR: Vision Language Model-Based Task-Detrimental Content Detection for Augmented Reality. IEEE transactions on visualization and computer graphics. 2025 May;31(5):3194u2013203.
• Frith A, Mall A, Streisfeld G, Swaringen K, Escobar E, Gorlatova M, et al. Human-Centered Design of a Virtual Reality Intervention to Promote Early Mobility in a Cardiothoracic ICU. Computers, informatics, nursingu202f: CIN. 2025 Apr;
• Duan L, Xiu Y, Gorlatova M. Advancing the Understanding and Evaluation of AR-Generated Scenes: When Vision-Language Models Shine and Stumble. In: Proceedings 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops Vrw 2025. 2025. p. 156u201361.
• Eom S, Xu W, Zou L, Frith A, Escobar E, Streisfeld G, et al. Legato: Virtual Reality for Physical Rehabilitation of Patients in the Intensive Care Unit. In: Proceedings 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops Vrw 2025. 2025. p. 1027u201332.
• Xiu Y, Gorlatova M. Vision Language Model-Based Solution for Obstruction Attack in AR: A Meta Quest 3 Implementation. In: Proceedings 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops Vrw 2025. 2025. p. 1638u20139.
• Hu T, Yang F, Scargill T, Gorlatova M. Apple v.s. Meta: A Comparative Study on Spatial Tracking in SOTA XR Headsets. In: ACM Mobicom 2024 Proceedings of the 30th International Conference on Mobile Computing and Networking. 2024. p. 2020u20137.
• Hu T, Scargill T, Yang F, Chen Y, Lan G, Gorlatova M. SEESys: Online Pose Error Estimation System for Visual SLAM. In: Sensys 2024 Proceedings of the 2024 ACM Conference on Embedded Networked Sensor Systems. 2024. p. 322u201335.
• Scargill T, Janamsetty R, Fronk C, Eom S, Gorlatova M. Environment Texture Optimization for Augmented Reality. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 2024 Sep 9;8(3).
• Chen Y, Omoma S, Kwon H, Inaltekin H, Gorlatova M. Quantifying and Exploiting VR Frame Correlations: An Application of a Statistical Model for Viewport Pose. IEEE Transactions on Mobile Computing. 2024 Jan 1;23(12):11466u201382.
• Eom S, Ma T, Vutakuri N, Du A, Qu Z, Jackson J, et al. Did You Do Well? Real-Time Personalized Feedback on Catheter Placement in Augmented Reality-Assisted Neurosurgical Training. In: Proceedings 2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops Vrw 2024. 2024. p. 1208u20139.
• Duan L, Sun J, Jia J, Chen Y, Gorlatova M. Reimagining Mutual Information for Defense against Data Leakage in Collaborative Inference. In: Advances in Neural Information Processing Systems. 2024.
• Byrne R, Qu Z, Fronk C, Eom S, Scargill T, Gorlatova M. AR Simulations in VR: The Case for Environmental Awareness. In: Proceedings 2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops Vrw 2024. 2024. p. 985u20136.
• Eom S, Ma TS, Vutakuri N, Hu T, Haskell-Mendoza AP, Sykes DAW, et al. Accuracy of routine external ventricular drain placement following a mixed reality-guided twist-drill craniostomy. Neurosurgical focus. 2024 Jan;56(1):E11.
• Duan L, Chen Y, Qu Z, McGrath M, Ehmke E, Gorlatova M. BiGuide: A Bi-level Data Acquisition Guidance for Object Detection on Mobile Devices. In: Proceedings 23rd ACM IEEE International Conference on Information Processing in Sensor Networks IPSN 2024. 2024. p. 88u2013100.
• Qu Z, Byrne R, Gorlatova M. 'Looking' into Attention Patterns in Extended Reality: An Eye Tracking-Based Study. In: Proceedings 2024 IEEE International Symposium on Mixed and Augmented Reality Ismar 2024. 2024. p. 855u201364.
• Xiu Y, Scargill T, Gorlatova M. LOBSTAR: Language Model-based Obstruction Detection for Augmented Reality. In: Proceedings 2024 IEEE International Symposium on Mixed and Augmented Reality Adjunct Ismar Adjunct 2024. 2024. p. 335u20136.
• Eom S, Mat T, Hu T, Vutakuri N, Jackson J, Gorlatova M. Did I Do Well? Personalized Assessment of Trainees' Performance in Augmented Reality-Assisted Neurosurgical Training. In: Proceedings 2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops Vrw 2024. 2024. p. 117u201324.
• Duan L, Scargill T, Chen Y, Gorlatova M. 3D Object Detection with VI-SLAM Point Clouds: The Impact of Object and Environment Characteristics on Model Performance. In: Proceedings IEEE International Conference on Robotics and Automation. 2024. p. 14014u201320.
• Hu T, Scargill T, Chen Y, Lan G, Gorlatova M. DNN-based SLAM Tracking Error Online Estimation. In: Proceedings of the Annual International Conference on Mobile Computing and Networking MOBICOM. 2023. p. 1469u201371.
• Dasari M, Jiang J, Gorlatova M. Message from the Program Chairs. In: Proceedings of the 2023 Workshop on Emerging Multimedia Systems EMS 2023. 2023. p. II.
• Zhang X, Chen S, Zhang Y, Im Y, Gorlatova M, Ha S, et al. Optimal Network Protocol Selection for Competing Flows via Online Learning. IEEE Transactions on Mobile Computing. 2023 Aug 1;22(8):4822u201336.
• Han B, Braud T, Di Francesco M, Gorlatova M, Liu L, Soros G, et al. Guest Editorial: Networking Challenges and Opportunities for Multi-UserXR and the Metaverse. IEEE Network. 2023 Jul 1;37(4):10u20131.
• Wang S, Hosseinalipour S, Gorlatova M, Brinton CG, Chiang M. UAV-Assisted Online Machine Learning Over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach. IEEE Transactions on Network and Service Management. 2023 Jun 1;20(2):1847u201365.
• Eom S, Janamsetty R, Hadziahmetovic M, Pajic M, Gorlatova M. Demo Abstract: Edge-based Augmented Reality Guidance System for Retinal Laser Therapy via Feature Matching. In: IPSN 2023 Proceedings of the 2023 22nd International Conference on Information Processing in Sensor Networks. 2023. p. 366u20137.
• Jiang X, Gorlatova M, Hu W. Message from General and Technical Program Chairs. In: IPSN 2023 Proceedings of the 2023 22nd International Conference on Information Processing in Sensor Networks. 2023. p. III.
• Duan L, Chen Y, Gorlatova M. Demo Abstract: BiGuide: A Bi-level Data Acquisition Guidance for Object Detection on Mobile Devices. In: IPSN 2023 Proceedings of the 2023 22nd International Conference on Information Processing in Sensor Networks. 2023. p. 368u20139.
• Scargill T, Dabrowski A, Xu A, Gorlatova M. IoT-Enabled Environment Illuminance Optimization for Augmented Reality. In: Ubicomp Iswc 2022 Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2022 ACM International Symposium on Wearable Computers. 2023. p. 112u20134.
• Scargill T, Chen Y, Hu T, Gorlatova M. SiTAR: Situated Trajectory Analysis for In-the-Wild Pose Error Estimation. In: Proceedings 2023 IEEE International Symposium on Mixed and Augmented Reality Ismar 2023. 2023. p. 283u201392.
• Eom S, Kim S, Jiang Y, Chen RJ, Roghanizad AR, Rosenthal MZ, et al. Investigation of Thermal Perception and Emotional Response in Augmented Reality using Digital Biomarkers: A Pilot Study. In: Proceedings 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops Vrw 2023. 2023. p. 170u20133.
• Chen Y, Inaltekin H, Gorlatova M. AdaptSLAM: Edge-Assisted Adaptive SLAM with Resource Constraints via Uncertainty Minimization. In: Proceedings IEEE INFOCOM. 2023.
• Chen Y, Sarik J, Inaltekin H, Gorlatova M. Demo Abstract: Demonstrating Resource-Efficient SLAM in Virtual Spacecraft Environments. In: IEEE INFOCOM 2023 Conference on Computer Communications Workshops INFOCOM Wkshps 2023. 2023.
• Eom S, Hadziahmetovic M, Pajic M, Gorlatova M. Demo Abstract: Through an AR Lens: Augmented Reality Magnification through Feature Detection and Matching. In: Sensys 2022 Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems. 2022. p. 784u20135.
• Sun J, Li A, Duan L, Alam S, Deng X, Guo X, et al. FedSEA: A Semi-Asynchronous Federated Learning Framework for Extremely Heterogeneous Devices. In: Sensys 2022 Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems. 2022. p. 106u201319.
• Han Y, Chen Y, Wang R, Wu J, Gorlatova M. Intelli-AR Preloading: A Learning Approach to Proactive Hologram Transmissions in Mobile AR. IEEE Internet of Things Journal. 2022 Sep 15;9(18):17714u201327.
• Jiang Y, Wang W, Scargill T, Rothman M, Dunn J, Gorlatova M. Digital biomarkers reflect stress reduction after Augmented Reality guided meditation: A feasibility study. In: Digibiom 2022 Proceedings of the 2022 Emerging Devices for Digital Biomarkers. 2022. p. 29u201334.
• Manjarres J, Lan G, Gorlatova M, Hassan M, Pardo M. Deep Learning for Detecting Human Activities from Piezoelectric-Based Kinetic Energy Signals. IEEE Internet of Things Journal. 2022 May 15;9(10):7545u201358.
• Zhang Y, Scargill T, Vaishnav A, Premsankar G, Di Francesco M, Gorlatova M. InDepth: Real-time Depth Inpainting for Mobile Augmented Reality. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 2022 Mar 1;6(1).
• Scargill T, Premsankar G, Chen J, Gorlatova M. Here to Stay: A Quantitative Comparison of Virtual Object Stability in Markerless Mobile AR. In: Proceedings 2nd International Workshop on Cyber Physical Human System Design and Implementation Cphs 2022. 2022. p. 24u20139.
• Chen Y, Kwon H, Inaltekin H, Gorlatova M. VR Viewport Pose Model for Quantifying and Exploiting Frame Correlations. In: Proceedings IEEE INFOCOM. 2022. p. 1269u201378.
• Scargill T, Chen Y, Eom S, Dunn J, Gorlatova M. Environmental, User, and Social Context-Aware Augmented Reality for Supporting Personal Development and Change. In: Proceedings 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops Vrw 2022. 2022. p. 155u201362.
• Scargill T, Chen Y, Marzen N, Gorlatova M. Integrated Design of Augmented Reality Spaces Using Virtual Environments. In: Proceedings 2022 IEEE International Symposium on Mixed and Augmented Reality Ismar 2022. 2022. p. 297u2013306.
• Eom S, Sykes D, Rahimpour S, Gorlatova M. NeuroLens: Augmented Reality-based Contextual Guidance through Surgical Tool Tracking in Neurosurgery. In: Proceedings 2022 IEEE International Symposium on Mixed and Augmented Reality Ismar 2022. 2022. p. 355u201364.
• Chen Y, Inaltekin H, Gorlatova M. Demo Abstract: Pixel Similarity-Based Content Reuse in Edge-Assisted Virtual Reality. In: INFOCOM Wkshps 2022 IEEE Conference on Computer Communications Workshops. 2022.
• Eom S, Kim S, Rahimpour S, Gorlatova M. AR-Assisted Surgical Guidance System for Ventriculostomy. In: Proceedings 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops Vrw 2022. 2022. p. 402u20135.
• Lan G, Scargill T, Gorlatova M. EyeSyn: Psychology-inspired Eye Movement Synthesis for Gaze-based Activity Recognition. In: Proceedings 21st ACM IEEE International Conference on Information Processing in Sensor Networks IPSN 2022. 2022. p. 233u201346.
• Scargill T, Lan G, Gorlatova M. Demo Abstract: Catch My Eye: Gaze-Based Activity Recognition in an Augmented Reality Art Gallery. In: Proceedings 21st ACM IEEE International Conference on Information Processing in Sensor Networks IPSN 2022. 2022. p. 503u20134.
• Shaw DE, Adams PJ, Azaria A, Bank JA, Batson B, Bell A, et al. Anton 3: Twenty Microseconds of Molecular Dynamics Simulation before Lunch. In: International Conference for High Performance Computing Networking Storage and Analysis Sc. 2021.
• Lan G, Liu Z, Zhang Y, Scargill T, Stojkovic J, Joe-Wong C, et al. Edge-assisted Collaborative Image Recognition for Mobile Augmented Reality. ACM Transactions on Sensor Networks. 2021 Oct 5;18(1).
• Lan G, Imani MF, Liu Z, Manjarres J, Hu W, Lan AS, et al. MetaSense: Boosting RF Sensing Accuracy Using Dynamic Metasurface Antenna. IEEE Internet of Things Journal. 2021 Sep 15;8(18):14110u201326.
• Adams PJ, Batson B, Bell A, Bhatt J, Butts JA, Correia T, et al. The u039bnTON 3 ASIC: A fire-breathing monster for molecular dynamics simulations. In: 2021 IEEE Hot Chips 33 Symposium Hcs 2021. 2021.
• Scargill T, Hurli S, Chen J, Gorlatova M. Will it Move?: Indoor Scene Characterization for Hologram Stability in Mobile AR. In: Hotmobile 2021 Proceedings of the 22nd International Workshop on Mobile Computing Systems and Applications. 2021. p. 173u20135.
• Ran X, Slocum C, Tsai YZ, Apicharttrisorn K, Gorlatova M, Chen J. Multi-user augmented reality with communication efficient and spatially consistent virtual objects. In: Conext 2020 Proceedings of the 16th International Conference on Emerging Networking Experiments and Technologies. 2020. p. 386u201398.
• Lan G, Heit B, Scargill T, Gorlatova M. GazeGraph: Graph-based few-shot cognitive context sensing from human visual behavior. In: Sensys 2020 Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems. 2020. p. 422u201335.
• Gorlatova M, Inaltekin H, Chiang M. Characterizing task completion latencies in multi-point multi-quality fog computing systems. Computer Networks. 2020 Nov 9;181.
• Yu C, Kam K, Xu Y, Cui Z, Steingart D, Gorlatova M, et al. Plant Spike: A Low-Cost, Low-Power Beacon for Smart City Soil Health Monitoring. IEEE Internet of Things Journal. 2020 Sep 1;7(9):9080u201390.
• Lan G, Imani MF, Hougne PD, Hu W, Smith DR, Gorlatova M. Wireless Sensing Using Dynamic Metasurface Antennas: Challenges and Opportunities. IEEE Communications Magazine. 2020 Jun 1;58(6):66u201371.
• Mavromoustakis CX, Mukherjee M, Mastorakis G, Song H, Gorlatova M, Aazam M. Guest Editorial Special Issue on Emerging Trends and Challenges in Fog Computing for IoT. IEEE Internet of Things Journal. 2020 May 1;7(5):4155u20139.
• Liu Z, Lan G, Stojkovic J, Zhang Y, Joe-Wong C, Gorlatova M. CollabAR: edge-assisted collaborative image recognition for mobile augmented reality. In: Proceedings 2020 19th ACM IEEE International Conference on Information Processing in Sensor Networks IPSN 2020. 2020. p. 301u201312.
• Glushakov M, Zhang Y, Han Y, Scargill TJ, Lan G, Gorlatova M. Invited Paper: Edge-based Provisioning of Holographic Content for Contextual and Personalized Augmented Reality. In: 2020 IEEE International Conference on Pervasive Computing and Communications Workshops Percom Workshops 2020. 2020.
• Ruan Y, Zheng L, Gorlatova M, Chiang M, Joe-Wong C. Pricing tradeoffs for data analytics in fog-cloud scenarios. In: Fog and Fogonomics Challenges and Practices of Fog Computing Communication Networking Strategy and Economics. 2020. p. 9u201320.
• Mukherjee M, Gorlatova M, Gross J, Aazam M. IEEE Access Special Section Editorial: Sustainable Infrastructures, Protocols, and Research Challenges for FOG Computing. IEEE Access. 2020 Jan 1;8:110943u20136.
• Ran X, Slocum C, Gorlatova M, Chen J. ShareAR: Communication-efficient multi-user mobile augmented reality. In: Hotnets 2019 Proceedings of the 18th ACM Workshop on Hot Topics in Networks. 2019. p. 109u201316.
• Dechicchis J, Ahn S, Gorlatova M. Adaptive AR visual output security using reinforcement learning trained policies: Demo abstract. In: Sensys 2019 Proceedings of the 17th Conference on Embedded Networked Sensor Systems. 2019. p. 380u20131.
• Stojkovic J, Liu Z, Lan G, Joe-Wong C, Gorlatova M. Edge-assisted collaborative image recognition for augmented reality: Demo abstract. In: Sensys 2019 Proceedings of the 17th Conference on Embedded Networked Sensor Systems. 2019. p. 394u20135.
• Ibrahim M, Gorlatova M, Chakrabarty K. The internet of microfluidic things: Perspectives on system architecture and design challenges: Invited paper. In: IEEE ACM International Conference on Computer Aided Design Digest of Technical Papers Iccad. 2019.
• Zhang X, Chen S, Im Y, Gorlatova M, Ha S, Joe-Wong C. Towards automated network management: Learning the optimal protocol selection. In: Proceedings International Conference on Network Protocols Icnp. 2019.
• Ahn S, Gorlatova M, Naghizadeh P, Chiang M. Personalized augmented reality via fog-based imitation learning. In: Iot Fog 2019 Proceedings of the 2019 Workshop on Fog Computing and the Iot. 2019. p. 11u20135.
• Naghizadeh P, Gorlatova M, Lan AS, Chiang M. Hurts to Be Too Early: Benefits and Drawbacks of Communication in Multi-Agent Learning. In: Proceedings IEEE INFOCOM. 2019. p. 622u201330.
• Balasubramanian V, Zaman F, Aloqaily M, Alrabaee S, Gorlatova M, Reisslein M. Reinforcing the Edge: Autonomous Energy Management for Mobile Device Clouds. In: INFOCOM 2019 IEEE Conference on Computer Communications Workshops INFOCOM Wkshps 2019. 2019. p. 44u20139.
• Inaltekin H, Gorlatova M, Chiang M. Virtualized Control over Fog: Interplay between Reliability and Latency. IEEE Internet of Things Journal. 2018 Dec 1;5(6):5030u201345.
• Ahn S, Gorlatova M, Naghizadeh P, Chiang M, Mittal P. Adaptive fog-based output security for augmented reality. In: VR AR Network 2018 Proceedings of the 2018 Morning Workshop on Virtual Reality and Augmented Reality Network Part of SIGCOMM 2018. 2018. p. 1u20136.
• Chang TC, Gitau C, Zheng L, Huang CY, Gorlatova M, Chiang M. Demo Abstract: Decomposing Data Analytics in Fog Networks. In: Sensys 2017 Proceedings of the 15th ACM Conference on Embedded Networked Sensor Systems. 2017.
• Ahn S, Gorlatova M, Chiang M. Leveraging fog and cloud computing for efficient computational offloading. In: 2017 IEEE MIT Undergraduate Research Technology Conference Urtc 2017. 2017. p. 1u20134.
• Margolies R, Gorlatova M, Sarik J, Stanje G, Zhu J, Miller P, et al. Energy-harvesting active networked tags (EnHANTs): Prototyping and experimentation. ACM Transactions on Sensor Networks. 2015 Nov 1;11(4).
• Gorlatova M, Sarik J, Grebla G, Cong M, Kymissis I, Zussman G. Movers and Shakers: Kinetic Energy Harvesting for the Internet of Things. IEEE Journal on Selected Areas in Communications. 2015 Aug 1;33(8):1624u201339.
• Gorlatova M, Sarik J, Grebla G, Cong M, Kymissis I, Zussman G. Movers and shakers: Kinetic energy harvesting for the internet of things. In: Performance Evaluation Review. 2014. p. 407u201319.
• Gorlatova M, Sarik J, Grebla G, Cong M, Kymissis I, Zussman G. Movers and shakers: Kinetic energy harvesting for the internet of things. In: Sigmetrics 2014 Proceedings of the 2014 ACM Sigmetrics International Conference on Measurement and Modeling of Computer Systems. 2014. p. 407u201319.
• Gorlatova M, Margolies R, Sarik J, Stanje G, Zhu J, Vigraham B, et al. Prototyping energy harvesting active networked tags (EnHANTs). In: Proceedings IEEE INFOCOM. 2013. p. 585u20139.
• Gorlatova M, Sarik J, Kinget P, Kymissis I, Zussman G. Project-based learning within a large-scale interdisciplinary research effort. In: Annual Conference on Innovation and Technology in Computer Science Education Iticse. 2013. p. 207u201312.
• Gorlatova M, Wallwater A, Zussman G. Networking low-power energy harvesting devices: Measurements and algorithms. IEEE Transactions on Mobile Computing. 2013 Aug 7;12(9):1853u201365.
• Gorlatova M, Sarik J, Kinget PR, Kymissis I, Zussman G. Project-based learning within a large-scale interdisciplinary research effort. In: Carter J, Utting I, Clear A, editors. ITiCSE. ACM; 2013. p. 207u201312.
• Stanje G, Miller P, Zhu J, Smith A, Winn O, Margolies R, et al. Demo: Organic solar cell-equipped energy harvesting active networked tag (EnHANT) prototypes. In: Sensys 2011 Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems. 2011. p. 385u20136.
• Gorlatova M, Aiello R, Mangold S. Managing base station location privacy. In: Proceedings IEEE Military Communications Conference MILCOM. 2011. p. 1201u20136.
• Gorlatova M, Wallwater A, Zussman G. Networking low-power energy harvesting devices: Measurements and algorithms. In: Proceedings IEEE INFOCOM. 2011. p. 1602u201310.
• Gorlatova M, Kinget P, Kymissis I, Rubenstein D, Wang X, Zussman G. Energy harvesting active networked tags (EnHANTs) for ubiquitous object networking. IEEE Wireless Communications. 2010 Dec 1;17(6):18u201325.
• Gorlatova M, Sharma T, Shrestha D, Xu E, Chen J, Skolnik A, et al. Prototyping Energy Harvesting Active Networked Tags (EnHANTs) with MICA2 motes. In: Secon 2010 2010 7th Annual IEEE Communications Society Conference on Sensor Mesh and Ad Hoc Communications and Networks. 2010.
• Gorlatova M, Kinget P, Kymissis I, Rubenstein D, Wang X, Zussman G. Challenge: Ultra-low-power energy-harvesting active networked tags (EnHANTs). In: Proceedings of the Annual International Conference on Mobile Computing and Networking MOBICOM. 2009. p. 253u201360.

In The News

• New Center Brings Technological Advances to the Future of Health Care (Apr 10, 2025 | Duke Today)
• Duke Research to Aid Soldiers Benefit from Augmented Reality, With Help of Sudoku (Nov 10, 2023 | Pratt School of Engineering)
• Simulated Human Eye Movement Aims to Train Metaverse Platforms (Mar 16, 2022 | Pratt School of Engineering)
• Augmented Reality, Fog, and Vision: Duke Professor Outlines Importance of Smart Architectures (Oct 2, 2018 | Network World)
• If Donald Trump Were Actually a Battery (May 18, 2017 | New Yorker)
• The OpenFog Reference Architecture: A Baseline for Interoperability in the IIoT Cloud-to-things Continuum (Mar 6, 2017 | Embedded Computing Design)
• Human Motion Will Power the Internet of Things, Say Energy Harvesting Engineers (Jul 11, 2013 | MIT Technology Review)