About me

MariaGorlatova_PhotoAssociate Research Scholar at Princeton University Electrical Engineering Department EDGE Lab led by Prof. Mung Chiang.

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 emerging pervasive systems. 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. My research is supported by NSF, DARPA, Comcast, and Microsoft.

Bio: 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. Most recently 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 a number of 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 the Technical Program Committees of multiple conferences including IEEE INFOCOM, IEEE VTC, and ACM/SIGBED EWSN.

Industry leadership: My industry experience helps me work across the industry-academia divide. I am actively participating in the OpenFog Consortium, an industry-wide initiative to define fog computing architectures [moderating a panel of industry experts] [talking about fog computing at an NYC IoT Central meetup featuring OpenFog]. I also judge prestigious Innovation Awards for the Consumer Electronics Show (CES) and the Consumer Electronics Show Asia, and co-chair the Emerging Tech: 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 completed more than 65 races including 3 marathons, 3 Escape from Alcatraz triathlons, and an Ironman triathlon [blog post about the Ironman]. I have three times qualified for, and once competed in, the Triathlon Age Group National Championships [blog post about the 2017 nationals]. Fun fact 1: I’ve ran in over 60% of US states [the map of places 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: I am looking for a tenure-track position in the Electrical Engineering or the Computer Science Department of a vibrant university. My application materials are below:

 Recent News and News Highlights

11/06/2017: I presented a demonstration of our fog computing testbed at ACM SenSys’17 in Delft, the Netherlands. Joint work with Liang Zheng, Edward Chang, and Chege Gitau. [Demo abstract PDF] [Video of the demo]

11/05/2017: I gave a keynote talk titled “Light, Motion, Fog: Towards Networking Commonplace Objects” at the ACM ENSsys workshop co-located with ACM SenSys’17.

11/04/2017: Fog Support for Autonomous Driving use case whitepaper is now publicly available. I helped Hassnaa Moustafa from Intel lead this use case definition effort.

7/19/2017: We are grateful to Microsoft for supporting our work with a Microsoft Azure Research Award, which provides us the equivalent of $20,000 in Azure computing services. [more information]

5/20/2017: Our research is in the news: New Yorker article “If Donald Trump Were Actually a Battery” mentions my work on human motion energy harvesting in the context of president Trump’s recent comments on principles of human body as an energy supply.

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). Certifications: Project Management Professional.

Positions: Research

Positions: Other

Recent and Selected Publications

[SenSys17Demo] T. Chang, L. Zheng, M. Gorlatova, C. Gitau, C. Huang, M. Chiang, Demo: Decomposing Data Analytics in Fog Networks, to appear in Proc. ACM SenSys’17, Delft, Netherlands, Nov. 2017. [Demo abstract PDF] [Video of the demo]

[JSAC15] M. Gorlatova, J. Sarik, G. Grebla, M. Cong, K. Ioannis, and G. Zussman, Movers and Shakers: Kinetic Energy Harvesting for the Internet of Things, IEEE Journal on Selected Areas in Communications, Special Issue on Wireless Communications Powered by Energy Harvesting and Wireless Energy Transfer, Vol. 33, No. 9, 2015. [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] [Presentation slides]
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]

[SenSys11Demo] G. Stanje, P. Miller, J. Zhu, A. Smith, O. Winn, R. Margolies, M. Gorlatova, J. Sarik, M. Szczodrak, B. Vigraham, L. Carloni, P. Kinget, I. Kymissis, and G. Zussman, Demo: Organic Solar Cell-equipped Energy Harvesting Active Networked Tag (EnHANT) Prototypes, in Proc. ACM SenSys’11, Seattle, WA, Nov. 2011.
Winner: Best Student Demo Award. [Demo abstract PDF] [Accompanying poster PDF] [Video of the demo]

[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][bib entry] [Award info]

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