Meeko Oishi

Dr. Meeko Oishi is a Professor in the Department of Electrical and Computer Engineering at the University of New Mexico. She holds a PhD in Mechanical Engineering from Stanford University (2004) with a minor in Electrical Engineering, and undergraduate degrees from Princeton University (BS, 1998). Her research focuses on ensuring safety in autonomous cyber-physical systems through stochastic reachability analysis, human-in-the-loop control, and probabilistic methods. Key areas include human-centric system design, motor control in Parkinson's disease, and resilient autonomous systems.

Education:

• PhD, Mechanical Engineering, Stanford University, 2004
• MS, Mechanical Engineering, Stanford University, 2000
• BS, Mechanical Engineering, Princeton University, 1998

Research Interests:

• Stochastic reachability and optimal control
• Human-in-the-loop system design
• Non-parametric learning and control
• Cyber-physical system safety
• Applications in robotics, aerospace, and healthcare

Awards & Recognition:

• NSF BRITE Fellow (2023-2028)
• Senior Faculty Research Excellence Award (UNM School of Engineering, 2020)
• NSF CAREER Award (2013)
• UNM Regents' Lecturer (2015-2018)
• Truman Fellowship (2005)

Advising & Labs:

• Advises ~30 graduate and undergraduate students in control systems and autonomy
• Directs the Hybrid Systems and Controls Lab
• Leads NSF CPS Frontier on Cognitive Autonomy

Key Collaborations:

• NSF RAISE Traineeship (Resilient AI for Autonomous Systems)
• Clinical testbeds for circadian rhythm research
• Industry partnerships with Sandia National Labs, AFRL, and aerospace firms