Maria Gorlatova

Gorlatova

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.

Appointments and Affiliations

  • Assistant Professor of Electrical and Computer Engineering
  • Assistant Professor of Computer Science
  • Faculty Network Member of the Duke Institute for Brain Sciences

Contact Information

Education

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

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.

Awards, Honors, and Distinctions

  • 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
  • Alexander Graham Bell Canada Graduate CGS-D Scholarship. Natural Sciences and Engineering Research Council Canada. 2008
  • Presidential Fellowship. Columbia University. 2008

Courses Taught

  • COMPSCI 356: Computer Network Architecture
  • COMPSCI 391: Independent Study
  • COMPSCI 393: Research Independent Study
  • COMPSCI 394: Research Independent Study
  • COMPSCI 590: Advanced Topics in Computer Science
  • ECE 356: Computer Network Architecture
  • ECE 392: Projects in Electrical and Computer Engineering
  • ECE 493: Projects in Electrical and Computer Engineering
  • ECE 590: Advanced Topics in Electrical and Computer Engineering
  • ECE 899: Special Readings in Electrical Engineering

In the News

Representative Publications

  • Ran, X; Slocum, C; Gorlatova, M; Chen, J, ShareAR: Communication-efficient multi-user mobile augmented reality, Hotnets 2019 Proceedings of the 18th Acm Workshop on Hot Topics in Networks (2019), pp. 109-116 [10.1145/3365609.3365867] [abs].
  • Dechicchis, J; Ahn, S; Gorlatova, M, Adaptive AR visual output security using reinforcement learning trained policies: Demo abstract, Sensys 2019 Proceedings of the 17th Conference on Embedded Networked Sensor Systems (2019), pp. 380-381 [10.1145/3356250.3361935] [abs].
  • Stojkovic, J; Liu, Z; Lan, G; Joe-Wong, C; Gorlatova, M, Edge-assisted collaborative image recognition for augmented reality: Demo abstract, Sensys 2019 Proceedings of the 17th Conference on Embedded Networked Sensor Systems (2019), pp. 394-395 [10.1145/3356250.3361944] [abs].
  • Zhang, X; Chen, S; Im, Y; Gorlatova, M; Ha, S; Joe-Wong, C, Towards automated network management: Learning the optimal protocol selection, Proceedings International Conference on Network Protocols, Icnp, vol 2019-October (2019) [10.1109/ICNP.2019.8888100] [abs].
  • Ahn, S; Gorlatova, M; Naghizadeh, P; Chiang, M, Personalized augmented reality via fog-based imitation learning, Iot Fog 2019 Proceedings of the 2019 Workshop on Fog Computing and the Iot (2019), pp. 11-15 [10.1145/3313150.3313219] [abs].