Visible to the public CPS Frontier Panel: Cognitive Autonomy for Human CPS: Turning Novices into Experts Conflict Detection Enabled


Meeko Oishi received the Ph.D. (2004) and M.S. (2000) in Mechanical Engineering from Stanford University (Ph.D. minor, Electrical Engineering), and a B.S.E. in Mechanical Engineering from Princeton University (1998). She is a Professor of Electrical and Computer Engineering at the University of New Mexico. Her research interests include human-centric control, stochastic optimal control, and autonomous systems. She previously held a faculty position at the University of British Columbia at Vancouver, and postdoctoral positions at Sandia National Laboratories and at the National Ecological Observatory Network. She was a Visiting Researcher at AFRL Space Vehicles Directorate, and a Science and Technology Policy Fellow at The National Academies. She is the recipient of the NSF CAREER Award and a member of the 2022-2023 DoD Defense Science Study Group.


The overall goal of the project, now beginning Year 4, is to create an architecture for "cognitive autonomy," a framework that supports dynamic interaction between the human and the autonomous system, enabled by advances in computation, communication, and control. This framework leverages strengths of the human and the automation to achieve new levels of performance and safety. Key to this is the integration of 1) computationally efficient human modeling, 2) algorithms for predictive monitoring and verification, 3) control based on joint psychophsyiological and physical state feedback, and 4) algorithms for transparent communication.

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