Maria Gorlatova | Scholars@Duke

Maria Gorlatova
Nortel Networks Assistant Professor of Electrical and Computer Engineering

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.

Current 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.

Office Hours

Mondays 9-11 AM, or by appointment

Current Appointments & Affiliations

Nortel Networks Assistant Professor of Electrical and Computer Engineering, Electrical and Computer Engineering, Pratt School of Engineering 2020
Assistant Professor of Electrical and Computer Engineering, Electrical and Computer Engineering, Pratt School of Engineering 2018
Assistant Professor of Computer Science, Computer Science, Trinity College of Arts & Sciences 2018
Faculty Network Member of the Duke Institute for Brain Sciences, Duke Institute for Brain Sciences, University Institutes and Centers 2018

Contact Information

Background
Education, Training, & Certifications
- Ph.D., Columbia University 2013
- M.S., University of Ottawa (Canada) 2007
- B.S., University of Ottawa (Canada) 2004
Academic Positions Outside Duke
- Associate Research Scholar, Princeton University. 2016 - 2018
Recognition
In the News
- OCT 2, 2018 Network World
  
  Augmented Reality, Fog, and Vision: Duke Professor Outlines Importance of Smart Architectures
- SEP 11, 2018 Pratt School of Engineering
  
  Maria Gorlatova: Creating an Intelligent Internet of Things
- MAY 18, 2017 New Yorker
  
  If Donald Trump Were Actually a Battery
- MAR 6, 2017 Embedded Computing Design
  
  The OpenFog Reference Architecture: A Baseline for Interoperability in the IIoT Cloud-to-things Continuum
- MAY 20, 2014 MIT Technology Review
  
  The Internet of You
Awards & Honors
Expertise
Subject Headings
Research
Selected Grants
- AI Institute: Athena: AI-Driven Next-generation Networks at the Edge awarded by National Science Foundation 2021 - 2026
- CAREER: Foundations of IoT-supported mobile augmented reality awarded by National Science Foundation 2021 - 2026
- CC*Integration: Archipelago: Linking Researchers on-campuses and in the Cloud through SDN-Enabled Microsegmentation awarded by National Science Foundation 2019 - 2022
- CNS Core: Small: Collaborative Research: Towards Intelligent Multi-User Augmented Reality with Edge Computing awarded by National Science Foundation 2019 - 2022
- CSF: Small: Collaborative Research: Multi-tier Service Architecture in IoT-Edge-Cloud-Paradigms awarded by National Science Foundation 2018 - 2021
- Dispersed Computing awarded by Princeton University 2018 - 2019
Publications & Artistic Works
Selected Publications
- Academic Articles
  - Lan, G., M. F. Imani, Z. Liu, J. Manjarres, W. Hu, A. S. Lan, D. R. Smith, and M. Gorlatova. “MetaSense: Boosting RF Sensing Accuracy Using Dynamic Metasurface Antenna.” Ieee Internet of Things Journal 8, no. 18 (September 15, 2021): 14110–26. https://doi.org/10.1109/JIOT.2021.3070225.
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  - Manjarres, J., G. Lan, M. Gorlatova, M. Hassan, and M. Pardo. “Enhancing Kinetic Energy Harvesting-based Human Activity Recognition with Deep Learning and Data Augmentation.” Ieee Internet of Things Journal, January 1, 2021. https://doi.org/10.1109/JIOT.2021.3093245.
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  - Gorlatova, M., H. Inaltekin, and M. Chiang. “Characterizing task completion latencies in multi-point multi-quality fog computing systems.” Computer Networks 181 (November 9, 2020). https://doi.org/10.1016/j.comnet.2020.107526.
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  - Yu, C., K. Kam, Y. Xu, Z. Cui, D. Steingart, M. Gorlatova, P. Culligan, and I. Kymissis. “Plant Spike: A Low-Cost, Low-Power Beacon for Smart City Soil Health Monitoring.” Ieee Internet of Things Journal 7, no. 9 (September 1, 2020): 9080–90. https://doi.org/10.1109/JIOT.2020.3003479.
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  - Lan, G., M. F. Imani, P. D. Hougne, W. Hu, D. R. Smith, and M. Gorlatova. “Wireless Sensing Using Dynamic Metasurface Antennas: Challenges and Opportunities.” Ieee Communications Magazine 58, no. 6 (June 1, 2020): 66–71. https://doi.org/10.1109/MCOM.001.1900696.
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  - Mavromoustakis, C. X., M. Mukherjee, G. Mastorakis, H. Song, M. Gorlatova, and M. Aazam. “Guest Editorial Special Issue on Emerging Trends and Challenges in Fog Computing for IoT.” Ieee Internet of Things Journal 7, no. 5 (May 1, 2020): 4155–59. https://doi.org/10.1109/JIOT.2020.2982520.
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  - Mukherjee, M., M. Gorlatova, J. Gross, and M. Aazam. “IEEE Access Special Section Editorial: Sustainable Infrastructures, Protocols, and Research Challenges for FOG Computing.” Ieee Access 8 (January 1, 2020): 110943–46. https://doi.org/10.1109/ACCESS.2020.3000845.
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  - Inaltekin, H., M. Gorlatova, and M. Chiang. “Virtualized Control over Fog: Interplay between Reliability and Latency.” Ieee Internet of Things Journal 5, no. 6 (December 1, 2018): 5030–45. https://doi.org/10.1109/JIOT.2018.2881202.
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  - Margolies, R., M. Gorlatova, J. Sarik, G. Stanje, J. Zhu, P. Miller, M. Szczodrak, et al. “Energy-harvesting active networked tags (EnHANTs): Prototyping and experimentation.” Acm Transactions on Sensor Networks 11, no. 4 (November 1, 2015). https://doi.org/10.1145/2831236.
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  - Gorlatova, M., J. Sarik, G. Grebla, M. Cong, I. Kymissis, and G. Zussman. “Movers and Shakers: Kinetic Energy Harvesting for the Internet of Things.” Ieee Journal on Selected Areas in Communications 33, no. 8 (August 1, 2015): 1624–39. https://doi.org/10.1109/JSAC.2015.2391690.
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  - Gorlatova, M., A. Wallwater, and G. Zussman. “Networking low-power energy harvesting devices: Measurements and algorithms.” Ieee Transactions on Mobile Computing 12, no. 9 (August 7, 2013): 1853–65. https://doi.org/10.1109/TMC.2012.154.
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  - Gorlatova, M., P. Kinget, I. Kymissis, D. Rubenstein, X. Wang, and G. Zussman. “Energy harvesting active networked tags (EnHANTs) for ubiquitous object networking.” Ieee Wireless Communications 17, no. 6 (December 1, 2010): 18–25. https://doi.org/10.1109/MWC.2010.5675774.
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- Book Sections
  - Ruan, Y., L. Zheng, M. Gorlatova, M. Chiang, and C. Joe-Wong. “Pricing tradeoffs for data analytics in fog-cloud scenarios.” In Fog and Fogonomics: Challenges and Practices of Fog Computing, Communication, Networking, Strategy, and Economics, 9–20, 2020. https://doi.org/10.1002/9781119501121.ch3.
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- Conference Papers
  - Shaw, D. E., P. J. Adams, A. Azaria, J. A. Bank, B. Batson, A. Bell, M. Bergdorf, 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. https://doi.org/10.1145/3458817.3487397.
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  - Adams, P. J., B. Batson, A. Bell, J. Bhatt, J. A. Butts, T. Correia, B. Edwards, et al. “The ΛnTON 3 ASIC: A fire-breathing monster for molecular dynamics simulations.” In 2021 Ieee Hot Chips 33 Symposium, Hcs 2021, 2021. https://doi.org/10.1109/HCS52781.2021.9567084.
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  - Scargill, T., S. Hurli, J. Chen, and M. Gorlatova. “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, 173–75, 2021. https://doi.org/10.1145/3446382.3449026.
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  - Ran, X., C. Slocum, Y. Z. Tsai, K. Apicharttrisorn, M. Gorlatova, and J. Chen. “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, 386–98, 2020. https://doi.org/10.1145/3386367.3431312.
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  - Lan, G., B. Heit, T. Scargill, and M. Gorlatova. “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, 422–35, 2020. https://doi.org/10.1145/3384419.3430774.
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  - Liu, Z., G. Lan, J. Stojkovic, Y. Zhang, C. Joe-Wong, and M. Gorlatova. “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, 301–12, 2020. https://doi.org/10.1109/IPSN48710.2020.00-26.
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  - Glushakov, M., Y. Zhang, Y. Han, T. J. Scargill, G. Lan, and M. Gorlatova. “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. https://doi.org/10.1109/PerComWorkshops48775.2020.9156256.
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  - Ran, X., C. Slocum, M. Gorlatova, and J. Chen. “ShareAR: Communication-efficient multi-user mobile augmented reality.” In Hotnets 2019 Proceedings of the 18th Acm Workshop on Hot Topics in Networks, 109–16, 2019. https://doi.org/10.1145/3365609.3365867.
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  - Dechicchis, J., S. Ahn, and M. Gorlatova. “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, 380–81, 2019. https://doi.org/10.1145/3356250.3361935.
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  - Stojkovic, J., Z. Liu, G. Lan, C. Joe-Wong, and M. Gorlatova. “Edge-assisted collaborative image recognition for augmented reality: Demo abstract.” In Sensys 2019 Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 394–95, 2019. https://doi.org/10.1145/3356250.3361944.
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  - Ibrahim, M., M. Gorlatova, and K. Chakrabarty. “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, Vol. 2019-November, 2019. https://doi.org/10.1109/ICCAD45719.2019.8942080.
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  - Zhang, X., S. Chen, Y. Im, M. Gorlatova, S. Ha, and C. Joe-Wong. “Towards automated network management: Learning the optimal protocol selection.” In Proceedings International Conference on Network Protocols, Icnp, Vol. 2019-October, 2019. https://doi.org/10.1109/ICNP.2019.8888100.
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  - Ahn, S., M. Gorlatova, P. Naghizadeh, and M. Chiang. “Personalized augmented reality via fog-based imitation learning.” In Iot Fog 2019 Proceedings of the 2019 Workshop on Fog Computing and the Iot, 11–15, 2019. https://doi.org/10.1145/3313150.3313219.
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  - Balasubramanian, V., F. Zaman, M. Aloqaily, S. Alrabaee, M. Gorlatova, and M. Reisslein. “Reinforcing the Edge: Autonomous Energy Management for Mobile Device Clouds.” In Infocom 2019 Ieee Conference on Computer Communications Workshops, Infocom Wkshps 2019, 44–49, 2019. https://doi.org/10.1109/INFCOMW.2019.8845263.
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  - Naghizadeh, P., M. Gorlatova, A. S. Lan, and M. Chiang. “Hurts to Be Too Early: Benefits and Drawbacks of Communication in Multi-Agent Learning.” In Proceedings Ieee Infocom, 2019-April:622–30, 2019. https://doi.org/10.1109/INFOCOM.2019.8737652.
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  - Ahn, S., M. Gorlatova, P. Naghizadeh, M. Chiang, and P. Mittal. “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, 1–6, 2018. https://doi.org/10.1145/3229625.3229626.
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  - Ahn, S., M. Gorlatova, and M. Chiang. “Leveraging fog and cloud computing for efficient computational offloading.” In 2017 Ieee Mit Undergraduate Research Technology Conference, Urtc 2017, 2018-January:1–4, 2018. https://doi.org/10.1109/URTC.2017.8284203.
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  - Chang, T. C., C. Gitau, L. Zheng, C. Y. Huang, M. Gorlatova, and M. Chiang. “Demo Abstract: Decomposing Data Analytics in Fog Networks.” In Sensys 2017 Proceedings of the 15th Acm Conference on Embedded Networked Sensor Systems, Vol. 2017-January, 2017. https://doi.org/10.1145/3131672.3136962.
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  - Gorlatova, M., J. Sarik, G. Grebla, M. Cong, I. Kymissis, and G. Zussman. “Movers and shakers: Kinetic energy harvesting for the internet of things.” In Performance Evaluation Review, 42:407–19, 2014. https://doi.org/10.1145/2637364.2591986.
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  - Gorlatova, M., J. Sarik, G. Grebla, M. Cong, I. Kymissis, and G. Zussman. “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, 407–19, 2014. https://doi.org/10.1145/2591971.2591986.
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  - Gorlatova, M., R. Margolies, J. Sarik, G. Stanje, J. Zhu, B. Vigraham, M. Szczodrak, et al. “Prototyping energy harvesting active networked tags (EnHANTs).” In Proceedings Ieee Infocom, 585–89, 2013. https://doi.org/10.1109/INFCOM.2013.6566840.
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  - Gorlatova, M., J. Sarik, P. Kinget, I. Kymissis, and G. Zussman. “Project-based learning within a large-scale interdisciplinary research effort.” In Annual Conference on Innovation and Technology in Computer Science Education, Iticse, 207–12, 2013. https://doi.org/10.1145/2462476.2465588.
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  - Gorlatova, Maria, John Sarik, Peter R. Kinget, Ioannis Kymissis, and Gil Zussman. “Project-based learning within a large-scale interdisciplinary research effort.” In Iticse, edited by Janet Carter, Ian Utting, and Alison Clear, 207–12. ACM, 2013.
  - Stanje, G., P. Miller, J. Zhu, A. Smith, O. Winn, R. Margolies, M. Gorlatova, 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, 385–86, 2011. https://doi.org/10.1145/2070942.2071002.
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  - Gorlatova, M., R. Aiello, and S. Mangold. “Managing base station location privacy.” In Proceedings Ieee Military Communications Conference Milcom, 1201–6, 2011. https://doi.org/10.1109/MILCOM.2011.6127464.
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  - Gorlatova, M., A. Wallwater, and G. Zussman. “Networking low-power energy harvesting devices: Measurements and algorithms.” In Proceedings Ieee Infocom, 1602–10, 2011. https://doi.org/10.1109/INFCOM.2011.5934952.
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  - Gorlatova, M., T. Sharma, D. Shrestha, E. Xu, J. Chen, A. Skolnik, D. Piao, 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. https://doi.org/10.1109/SECON.2010.5508227.
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  - Gorlatova, M., P. Kinget, I. Kymissis, D. Rubenstein, X. Wang, and G. Zussman. “Challenge: Ultra-low-power energy-harvesting active networked tags (EnHANTs).” In Proceedings of the Annual International Conference on Mobile Computing and Networking, Mobicom, 253–60, 2009. https://doi.org/10.1145/1614320.1614348.
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Teaching & Mentoring
Recent Courses

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Education, Training, & Certifications

Academic Positions Outside Duke

In the News

Awards & Honors

Subject Headings

Selected Grants

Selected Publications

Academic Articles

Book Sections

Conference Papers

Recent Courses