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Research Project

Safe Planning under Large Uncertainties

Inspired by the Miracle on the Hudson, we aim to design a decision-making architecture that can quickly make a sequence of decisions for autonomous systems. We integrate neuroscience, control theory, and machine learning — leveraging the advantages of each — toward a safety guarantee under large uncertainties.

Publications

• Learning Hidden Control Laws for GPS Spoofing via Unknown-Input Estimation and Reservoir Computing

  Seif O. Elsabagh and Wenbin Wan

  LSU Symposium on Control, Learning, and Intelligent Systems, 2026

  DOI