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Jason RYAN

Academic Background:

  • 2011 - present • MIT, ESD: PhD student in Human-Systems Engineering
  • 2009 - 2011 • MIT, AeroAstro: Meng in Aerospace Engineering
  • 2003 - 2007 • University of Alabama: B.S. Aerospace Engineering

Work Experience:

  • 2007 - 2009 • Aerotonomy Inc. • Lithia Springs, GA
    Aerospace Engineer

Research Domain:

Human-systems Engineering and Integration

Research Description:

Jason's dissertation work focuses on the development and validation of agent-based models of heterogeneous human-automation environments. Specifically, he is working on building models of modern U.S. Navy flight deck operations and how human crew, aircraft, and other elements interact on the flight deck. The purpose is to development a modeling environment that can be used to assess current operations and how they might be improved, as well as in modeling future environments (such as those using unmanned and autonomous systems). This allows stakeholders to gain some modicum of understanding of how the system as a whole might behave under various technological futures.

Jason's past research has focused on the design and validation of systems for overseeing Planning and Resource Allocation within complex, highly dynamic systems (namely, aircraft carriers). Prior to graduate school, Jason worked for a small business performing general unmanned vehicle research and development for the Department of Defense.

In broad terms, Jason's interests include Human Supervisory Control systems, human interaction with automation, and human systems integration - under the broad term "human systems engineering" - as well as the ethical and moral issues surrounding the development, implementation, and general use of autonomous systems. 

Publications:

Media publications:
  • MIT Homepage article, August 2nd, 2011:
  • Office of Naval Research Press Release, July 3rd, 2011: 
  • Article in Smithsonian Air & Space Magazine, June 2011: "*Pilot not included" 
  • MIT AeroAstro Department Annual, 2010-2011.
Online media:
  • 5 minute demo video of the DCAP system:  Youtube
  • 1.5 minute version: Youtube
  • 1 minute video of the DCAP interface: Youtube