Office: 2471 CIEMAS. Lab: 217 Hudson Hall
E-mail: maria.gorlatova /at/ duke.edu
Research interests: My research focuses on the challenges and opportunities associated with adding connectivity and intelligence to every device big and small — the cross-disciplinary area known as the Internet of Things. My work involves the development of architectures, algorithms, and protocols for pervasive technologies of the future. This work crosses traditional discipline boundaries and requires thinking across multiple layers of system and protocol stacks. I am particularly interested in the opportunities associated with fog and edge computing, and in breaking the barriers for technologies that enable fundamentally new deployments and experiences, such as energy harvesting and augmented reality. More about my current research.
Bio: Prior to starting my position at Duke, I was an Associate Research Scholar and an Associate Director of the EDGE Lab at Princeton University Department of Electrical Engineering, where I worked with Prof. Mung Chiang. I earned my Ph.D. in Electrical Engineering from Columbia University in the Wireless and Mobile Networking Lab led by Prof. Gil Zussman. My Ph.D. dissertation was recognized with the highest departmental distinction, Jury Award for Outstanding Achievement in Communications. I earned the B.Sc. (Summa Cum Laude) and the M.Sc. degrees in Electrical Engineering from University of Ottawa, Canada. Before and after my Ph.D. I worked in industry in research, development, and business strategy. After my Ph.D. I was an Engineering Program Manager at D. E. Shaw Research and a Senior Strategy Consultant at IBM Corporate Headquarters Chief Economist’s Office.
I received several awards including the 2016 IEEE Communications Society Young Author Best Paper Award, the 2011 ACM SenSys Best Student Demonstration Award, and the 2011 IEEE Communications Society Award for Advances in Communications. I 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. I serve on Technical Program Committees of multiple conferences including IEEE INFOCOM, ACM MobiHoc, IEEE ICDCS, and IEEE ICNP.
Industry leadership: My industry experience helps me work across the industry-academia divide. I actively participated in the OpenFog Consortium, an industry-wide initiative that defined fog computing architectures [moderating a panel of industry experts] [talking about fog computing at an NYC IoT Central meetup] [presenting OpenFog communications framework at 2017 IEEE Fog World Congress]. I judge prestigious Consumer Electronics Show (CES) Innovation Awards, and have co-chaired the Internet of Things and Wearable Technology track of the Grace Hopper Celebration of Women in Computing, attended by over 18,000 people.
Outside of work: I am a runner and a triathlete. I competed in more than 70 races including 3 marathons, 3 Escape from Alcatraz triathlons, and an Ironman triathlon [blog post about the Ironman]. I have thrice qualified for, and once competed in, Triathlon Age Group National Championships [blog post about the nationals]. Fun fact 1: I ran at least one mile in 40 US states. [the map of the states and countries where I went running]. Fun fact 2: A motion trace of my 3-hour marathon preparation run appeared in my paper on harvesting energy of motion [Figure 6 in this paper] [related blog post].
I am looking for creative, energetic, and hard-working BS, MS, and PhD students to join my Duke University lab. Please e-mail me your CV, transcripts, and a brief note about your research interests at maria.gorlatova /at/ duke.edu. [ More information about our current research projects ] [ Lab members ]
Recent News and News Highlights
2/15/2020: Our paper on collaborative image processing for augmented reality will appear in IEEE IPSN’20 (21.7% acceptance rate). Congratulations to Zida, Guohao, Yunfan, and Jovan. [ Paper PDF ] [ More information about the paper ] [ Dataset collected for the paper ]
2/03/2020: Several students in the lab have collaborated on a paper “Edge-based Provisioning of Holographic Content for Contextual and Personalized Augmented Reality” that will appear in the IEEE SmartEdge Workshop, co-located with IEEE PerCom, as an invited paper. [ Paper PDF ] [ More information about the paper ]
7/29/2019: We are grateful for the NSF support of the Duke OIT-led Archipelago project, dedicated to the creation of next-generation on-campus SDN infrastructures. [ Award information ]
6/28/2019: We thank the Lord Foundation of North Carolina for supporting our 2019-2020 project titled “Towards Pervasive Multi-User Augmented Reality: Undergraduate Research and Course Development”.
2008 – 2013 Ph.D. Electrical Engineering, Columbia University, New York, NY
- Thesis: Energy Harvesting Networked Nodes: Measurements, Algorithms, and Prototyping [Thesis PDF]. Jury Award for Outstanding Achievement in Communications.
- Advised by Prof. Gil Zussman [Academic genealogy]
- Columbia University Presidential Fellowship, Canadian Graduate NSERC CGS Fellowship
- GPA: 4.18/4.0
2005 – 2006 M.Sc. Electrical Engineering, University of Ottawa, Ottawa, ON, Canada
- Thesis: Wormhole Attack Detection in Wireless Ad Hoc Networks [Thesis PDF]
- Advised by Prof. Ramiro Liscano and Dr. Peter Mason
- Canadian Graduate NSERC CGS Fellowship, Ontario Graduate Fellowship
- GPA: 98/100
2000 – 2004 B.Sc. Electrical Engineering, University of Ottawa, Ottawa, ON, Canada
- Summa Cum Laude
- GPA 92/100, Major GPA 98/100
Additional training: Micro-MBA (IBM), Project Management (NYU), Product Management (NY General Assembly), Proposal Writing (Princeton University). Certifications: Project Management Professional.
- Assistant Professor, Duke University Electrical and Computer Engineering and Computer Science Departments, Durham, NC, 2018 – present
- Associate Director, Princeton EDGE Lab, Princeton University, Princeton, NJ, 2017 – 2018
- Associate Research Scholar, Princeton University, Princeton, NJ, 2016 – 2018
- Postdoctoral Researcher, Columbia University, New York, NY, 2013
- Presidential Fellow, Columbia University, New York, NY, 2008 – 2013
- Research Assistant (Ph.D. internship), Disney Research, Zurich, Switzerland, 2011
- Research Scientist, Telcordia Technologies, Piscataway, NJ, 2007 – 2008
- Research Scientist, Defense R&D Canada, Ottawa, ON, 2004 – 2007
- Engineering Program Manager, D. E. Shaw Research, New York, NY, 2014 – 2016
- Senior Strategy Consultant, IBM Corporate Headquarters, Armonk, NY, 2014
- Back-end Software Developer, Sirius Satellite Radio, New York, NY, 2007
- Web Software Developer (B.S. internship), Nortel Networks, Ottawa, ON, 2003
- Assistant Patent Examiner (B.S. internship), Canadian Intellectual Property Office, Hull, QC, 2003
Recent and Selected Publications
[IPSN20] Z. Liu, G. Lan, J. Stojkovic, Y. Zhang, C. Joe-Wong, M. Gorlatova, CollabAR: Edge-assisted Collaborative Image Recognition for Mobile Augmented Reality, to appear in IEEE IPSN’20, April 2020 (21.7% acceptance rate). [ Paper PDF ]
[SmartEdge20] M. Glushakov, Y. Zhang, Y. Han, T. Scargill. G. Lan, M. Gorlatova, Edge-based Provisioning of Holographic Content for Contextual and Personalized Augmented Reality, to appear in Proc. IEEE Workshop on Smart Edge Computing and Networking (co-located with IEEE PerCom), Austin, TX, Mar. 2020 (invited paper). [ Paper PDF ]
[HotNets19] X. Ran, C. Slocum, M. Gorlatova, J. Chen, ShareAR: Communication-efficient Multi-User Mobile Augmented Reality, in Proc. ACM HotNets’19, Princeton, NJ, Nov. 2019 (20.4% acceptance rate). [Paper PDF]
[SenSys19a] J. Stojkovic, Z. Liu, G. Lan, C. Joe-Wong, M. Gorlatova, Demo: Edge-assisted Collaborative Image Recognition for Augmented Reality, in Proc. ACM Conference on Embedded Networked Sensor Systems (ACM SenSys’19), New York City, NY, Nov. 2019. [Demo PDF] [Demo video]
[SenSys19b] J. DeChicchis, S. Ahn, M. Gorlatova, Demo: Adaptive Augmented Reality Visual Output Security Using Reinforcement Learning Trained Policies, in Proc. ACM Conference on Embedded Networked Sensor Systems (ACM SenSys’19), New York City, NY, Nov. 2019. [Demo PDF] [Demo video]
[ICNP19] X. Zhang, S. Chen, Y. Im, M. Gorlatova, S. Ha, C. Joe-Wong, Towards Automated Network Management: Learning the Optimal Protocol Selection for Network Flows, in Proc. IEEE ICNP’19, Chicago, IL, Oct. 2019 (short paper; 19.3% acceptance rate). [Paper PDF]
[Sigmetrics14] M. Gorlatova, J. Sarik, G. Grebla, M. Cong, I. Kymissis, G. Zussman, Movers and Shakers: Kinetic Energy Harvesting for the Internet of Things, in Proc. ACM SIGMETRICS’14, Austin, TX, July 2014 (~17% acceptance rate). [Paper PDF]
Selected media coverage: MIT Technology Review Physics ArXiv blog, MIT Technology Review Business Report.
[TMC13] M. Gorlatova, A. Wallwater, G. Zussman, Networking Low-Power Energy Harvesting Devices: Measurements and Algorithms, IEEE Transactions on Mobile Computing, vol. 12, no. 9, Sept. 2013. [Paper PDF]
Winner: 2016 IEEE Communications Society Young Author Best Paper Award. [Award info]
[WirComm10] M. Gorlatova, P. Kinget, I. Kymissis, D. Rubenstein, X. Wang, G. Zussman, Energy Harvesting Active Networked Tags for Ubiquitous Object Networking, IEEE Wireless Communications Magazine, vol. 17, no 6, pp. 18-25, Dec. 2010.
Winner: 2011 IEEE Communications Society Award for Advances in Communications. [Paper PDF] [Award info]