About me

MariaGorlatova_PhotoNortel Networks Assistant Professor, Department of Electrical and Computer Engineering and Department of Computer Science, Duke University

Office: 409 Wilkinson. Lab: 443 Wilkinson.

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. 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 mobile augmented realityMore 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 multiple awards including the 2021 NSF CAREER Award, 2021 Facebook Research Award, 2020 IBM Faculty Award, 2016 IEEE Communications Society Young Author Best Paper Award, 2011 ACM SenSys Best Student Demonstration Award, 2020 ACM/IEEE IPSN Best Research Artifact Award, and 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, IEEE ICDCS, IEEE ICNP, ACM SenSys, and ACM/IEEE IPSN.

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.
MariaGorlatova_2
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]. New 2020: Fun fact 3: I have a new running partner, and we’ve already ramped up to running 30+ miles per week together!

I am always 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 ]

New Apr. 2022: We are looking for a postdoc to join the lab. Click here for more information and details on how to apply.

 Recent News and News Highlights

5/4/2022: Lab’s work is presented at 3 different sessions of CPS-IoT Week this week:  IEEE/ACM IPSN’22 paper, CPHS’22 workshop paper, and IPSN’22 demo: blog post. This week we are also presenting a paper and a demo at IEEE INFOCOM’22: blog post.

5/3/2022: Congratulations to Ashley Kwon, a former undergraduate researcher in the lab, who will be joining Brown University’s CS PhD program this Fall. Ashley has been affiliated with the lab for 1.5 years, and has coauthored our recent IEEE INFOCOM’22 paper and an associated dataset. Congratulations and best wishes, Ashley! [INFOCOM’22 paper PDF] [Code and data]

4/22/2022: Congratulations to Alex Hu for receiving the Spring 2022 ECE Independent Study Best Poster Award! Alex has been affiliated with the I3T Lab since Spring 2021. Jointly with his mentor Tim Scargill, he has been exploring a range of topics related to eye tracking for augmented reality. His work has incorporated both AR system development and user studies Alex has designed and conducted. Congratulations, Alex!

3/05/2022: A fun line of work from our lab has developed an approach for synthesizing eye movement data for training eye movement-based activity classifiers via publicly available text, image, and video sources, without human involvement. It is described in a paper titled “EyeSyn: Psychology-inspired Eye Movement Synthesis for Gaze-based Activity Recognition,” which is appearing at IEEE/ACM IPSN’22. [Pre-print PDF] [Accompanying demonstration] [Pratt School of Engineering article about this work]

2/23/2022: Our upcoming ACM IMWUT’22 paper examines issues in depth captures of mobile devices, that are important for providing correctly scaled virtual objects in mobile augmented reality, and develop what is, to our knowledge, the first depth inpainting solution suitable for real-time operation in mobile AR. [Pre-print PDF]

2/17/2022: Professor Gorlatova gave a talk about group’s research on IoT-supported and edge-supported augmented reality to the members of the Augmented Reality for Enterprise Alliance (AREA), a global non-profit dedicated to widespread adoption of AR-enabled enterprise systems. The recording of the talk is available here.

1/27/2022: Two papers from our research group are appearing at workshops co-located with IEEE VR 2022. Both are centered on end applications of next-generation augmented reality systems we are building in our lab. [Blog post with more details and links to the pre-prints]

12/04/2021: Our work will be appearing at IEEE INFOCOM’22 (19.9% acceptance rate). Ying Chen will be presenting her paper titled “VR Viewport Pose Model for Quantifying and Exploiting Frame Correlations,” which we have developed in collaboration with Hazer Inaltekin. [ArXiv pre-print]

11/11/2021: Professor Gorlatova gave a talk at AWE USA 2021, premier AR/VR industry conference, held in Santa Clara, California. The talk, titled “Towards Internet of Things (IoT)-supported Mobile Augmented Reality,” was a part of the XR Enablement track of the conference. [ PDF of the slides ]

09/24/2021: We are excited to receive a Facebook Award to work on Trustworthy Products in Augmented Reality. Joint work with the group of Neil Gong.

03/09/2021: Professor Gorlatova received an NSF CAREER Award to work on the Foundations of IoT-supported Mobile Augmented Reality. [ Award information: NSF ] [ Pratt School article about the award ]

Education

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

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.

Positions: Research

  • Nortel Networks Assistant Professor, Duke University Electrical and Computer Engineering Department, Durham, NC, 2020 – present
  • 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

Positions: Other

Recent and Selected Publications

[IMWUT22ToAppear] Y. Zhang, T. Scargill, A. Vaishnav, G. Premsankar, M. Di Francesco, M. Gorlatova, InDepth: Real-time Depth Inpainting for Mobile Augmented Reality, to appear in Proc. ACM IMWUT’22. [Pre-print PDF]

[IPSN22] G. Lan, T. Scargill, M. Gorlatova, EyeSyn: Psychology-inspired Eye Movement Synthesis for Gaze-based Activity Recognition, in Proc. IEEE/ACM IPSN’22, May 2022. [Pre-print PDF] [Accompanying demonstration] [Code and data]

[INFOCOM22] Y. Chen, H. Kwon, H. Inaltekin, M. Gorlatova, VR Viewport Pose Model for Quantifying and Exploiting Frame Correlations, in Proc. IEEE INFOCOM’22, May 2022 (19.9% acceptance rate). [PDF] [Code and data] [Accompanying demonstration PDF] [Video of the accompanying demonstration]

[TOSN22] G. Lan, Z. Liu, Y. Zhang, T. Scargill, J. Stojkovic, C. Joe-Wong, M. Gorlatova, Edge-assisted Collaborative Image Recognition for Mobile Augmented Reality, ACM Transactions on Sensor Networks, Vol. 18, No 1, Feb. 2022. [Paper PDF] [Dataset and code]

[SenSys20] G. Lan, B. Heit, T. Scargill, M. Gorlatova, GazeGraph: Graph-based Few-Shot Cognitive Context Sensing from Human Visual Behavior, in Proc. ACM SenSys’20, Nov. 2020 (20.6% acceptance rate). [ Paper PDF ] [ Dataset and codebase ] [ Blog post ]

[IPSN20] Z. Liu, G. Lan, J. Stojkovic, Y. Zhang, C. Joe-Wong, M. Gorlatova, CollabAR: Edge-assisted Collaborative Image Recognition for Mobile Augmented Reality, in Proc. IEEE IPSN’20, April 2020 (21.7% acceptance rate). [ Paper PDF ] [ Dataset and codebase ] [ Blog postIEEE IPSN Best Research Artifact Award.

[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]

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