Advancing intelligent stormwater systems through new methods in model discovery
Advancing intelligent stormwater systems through new methods in model discovery
I am a PhD Candidate with Prof. Branko Kerkez at the University of Michigan in Ann Arbor. Our lab maintains a wireless water level sensor network (150+ devices) across the state that serves utilities, transportation authorities, and conservation organizations.
My research focuses on model discovery in low observability environments. In other words: how do you design a model or controller for a system with very few sensors?
The primary impacts of my dissertation work are
enabling a statewide water level prediction network at a tenth the cost of existing approaches
enabling state space control of stormwater systems at scale
a new system identification method which is natively continuous-time and maintains meaningful state naming.