MS191A Explainable AI for the Discovery and Control of Complex Systems in Engineering and Applied Sciences I
Main Organizer:
Dr.
Gianmarco Mengaldo
(
National University of Singapore
, Singapore
)
Scheduled presentations:
-
Explainable Operator Learning: Differentiable Autoencoders and Integral Decompositions
-
Leveraging Explainable AI to Guide Experimental Design for Cryogenic Etching Mechanisms
-
Interpretable Scientific Machine Learning for Contrail Mitigation to Advance Aviation Sustainability
-
Data-Driven Detection of Nonlinear Mode Interactions Using Post-Hoc Interpretable Deep Learning
-
Improving MEMS-Based Impact Localization in CFRP Composites through Explainable AI
-
Improving turbulence control through explainable deep reinforcement learning
