Maria Gorlatova

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 focused on reaching the next level of adaptive intelligent behavior in Internet of Things systems and applications. This research involves the development of architectures, algorithms, and protocols for emerging pervasive systems. It crosses traditional discipline boundaries and requires thinking across multiple layers of system and protocol stacks. 

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 is a recipient of the Google Anita Borg USA Fellowship, Canadian Graduate Scholar CGS NSERC Fellowships, the Columbia University Presidential Fellowship, and the Columbia University Jury Award for Outstanding Achievement in Communications. She is a co-recipient of the ACM SenSys Best Student Demonstration Award, the IEEE Communications Society Young Author Best Paper Award, and the IEEE Communications Society Award for Advances in Communications.

Education

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

Positions

• Nortel Networks Assistant Professor of Electrical and Computer Engineering
• Assistant 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

• 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 590: Advanced Topics in Electrical and Computer Engineering
• 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 590: Advanced Topics in Computer Science
• COMPSCI 564: Edge Computing
• COMPSCI 394: Research Independent Study
• COMPSCI 393: Research Independent Study
• COMPSCI 356: Computer Network Architecture

Publications

• 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).
• 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. 2024 Apr;PP.
• 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. 88–100.
• 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. 14014–20.
• 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. 985–6.
• 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. 1208–9.
• 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;
• 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. 117–24.
• 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.
• 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):4822–36.
• 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):10–1.
• 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):1847–65.
• 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. 368–9.
• 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.
• 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. 366–7.
• 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. 283–92.
• 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. 1469–71.
• 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.
• Chen Y, Inaltekin H, Gorlatova M. AdaptSLAM: Edge-Assisted Adaptive SLAM with Resource Constraints via Uncertainty Minimization. In: Proceedings - IEEE INFOCOM. 2023.
• 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. 170–3.
• 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. 784–5.
• 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. 106–19.
• 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):17714–27.
• 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. 2022. p. 112–4.
• 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. 29–34.
• 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):7545–58.
• 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, 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. 503–4.
• 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. 233–46.
• 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. 355–64.
• 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. 297–306.
• 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. 155–62.
• 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. 402–5.
• 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. 24–9.
• 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.
• Chen Y, Kwon H, Inaltekin H, Gorlatova M. VR Viewport Pose Model for Quantifying and Exploiting Frame Correlations. In: Proceedings - IEEE INFOCOM. 2022. p. 1269–78.
• 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):14110–26.
• Adams PJ, Batson B, Bell A, Bhatt J, Butts JA, Correia T, et al. The ΛnTON 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. 173–5.
• 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. 386–98.
• 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. 422–35.
• 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):9080–90.
• 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):66–71.
• 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):4155–9.
• 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. 301–12.
• 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. 9–20.
• 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;8:110943–6.
• 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. 109–16.
• 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. 394–5.
• 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. 380–1.
• 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. 11–5.
• 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. 622–30.
• 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. 44–9.
• 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):5030–45.
• 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. 1–6.
• 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. 1–4.
• 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):1624–39.
• 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. 407–19.
• 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. 407–19.
• 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. 585–9.
• 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. 207–12.
• 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):1853–65.
• 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. 207–12.
• 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. 385–6.
• Gorlatova M, Aiello R, Mangold S. Managing base station location privacy. In: Proceedings - IEEE Military Communications Conference MILCOM. 2011. p. 1201–6.
• Gorlatova M, Wallwater A, Zussman G. Networking low-power energy harvesting devices: Measurements and algorithms. In: Proceedings - IEEE INFOCOM. 2011. p. 1602–10.
• 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):18–25.
• 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. 253–60.

In The News

• Duke Research to Aid Soldiers Benefit from Augmented Reality, With Help of Sudoku (Nov 10, 2023 | Pratt School of Engineering)
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• Augmented Reality, Fog, and Vision: Duke Professor Outlines Importance of Smart Architectures (Oct 2, 2018 | Network World)
• Maria Gorlatova: Creating an Intelligent Internet of Things (Sep 11, 2018 | Pratt School of Engineering)
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• The Internet of You (May 20, 2014 | MIT Technology Review)