With a broad background that encompasses control, optimization, networked dynamics systems, robotics, and flight dynamics, Marzieh Nabi is interested in applications of these tools in energy, transportation, multi-agent system, and healthcare.
As part of her Ph.D. research, she aimed to develop a graph-centric framework for the analysis and synthesis of networked dynamic systems consisting of multiple dynamic units that interact via an interconnection topology. She examined three categories of network problems namely: identification and its ramification in fault detection; controllability and its ramification in security and human-swarm interaction; and randomness and its application in sensor networks.
Dr. Nabi received her Ph.D. in Aeronautics and Astronautics and M.Sc. in Mathematics from University of Washington in Seattle. She also earned M.Sc. and B.Sc. in Aerospace Engineering from Sharif University of Technology in Iran. She is a fan of outdoor activities, especially hiking.
in the news view all
My Battle to Save My Dad
30 November 2016 | Xerox Agents of Change
Using Big Healthcare Data to Accelerate Medical Discovery
19 July 2016 | CIO Review
The Magic of Creating the Future (video)
8 July 2016
events view all
Dawn of the Labs: The Next Gen of Tech Innovation
10 March 2017 - 19 March 2017 | Austin, TX
Applications of AI and Machine Learning in Healthcare: Focus on Comorbidities (Co-occurrence of Multiple Chronic Conditions)
1 March 2017 | London, England