Industrial AI
Failure detection, decision-aware model selection, industrial monitoring, and deployment-oriented evaluation.
My research asks when predictive performance stops being equivalent to operational usefulness — and what changes when models must operate inside real physical systems.
Failure detection, decision-aware model selection, industrial monitoring, and deployment-oriented evaluation.
State, disturbances, controls, constraints, uncertainty, and interaction between models and physical systems.
Urban water systems, wastewater treatment, climate resilience, environmental monitoring, and operational early warning.
Machine learning informed by physical structure, scientific constraints, uncertainty, and mechanistic reasoning.
Move across the field. The model remains fixed while the physical trajectory responds to disturbance.