J. Nathan Kutz

SHRED-ROM can achieve real-time optimal control in high-dimensional systems with minimal computational overhead, revolutionizing how we approach adaptive control.

Transfer learning slashes the data needed to accurately model building thermal dynamics, outperforming traditional methods by up to 49% even with limited data.

Reconstructing complex system dynamics from fleeting, sparse sensor data becomes tractable with LAPIS-SHRED, a surprisingly lightweight architecture.