RESEARCH

Trustworthy AI for physical and engineered systems.

My research asks when predictive performance stops being equivalent to operational usefulness — and what changes when models must operate inside real physical systems.

01

Industrial AI

Failure detection, decision-aware model selection, industrial monitoring, and deployment-oriented evaluation.

02

AI for Physical Systems

State, disturbances, controls, constraints, uncertainty, and interaction between models and physical systems.

03

Environmental AI

Urban water systems, wastewater treatment, climate resilience, environmental monitoring, and operational early warning.

04

Scientific ML

Machine learning informed by physical structure, scientific constraints, uncertainty, and mechanistic reasoning.

MODEL–REALITY GAP

A good model can still make a bad decision.

INTERACTIVE

Move across the field. The model remains fixed while the physical trajectory responds to disturbance.

DECISION BOUNDARY
STATE GAP0.00
MODELnominal
PHYSICAL SYSTEMstable
DECISIONstable