Topic description

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The PhD will focus on the development of artificial intelligence approaches coupled with physics-based models to assist the control and optimization of industrial glass furnace processes within a digital twin framework.

The research will combine simulation-based learning and industrial data-driven modeling to enable intelligent assistance for furnace operation and process optimization. The work will be structured around two complementary axes:

1. Reinforcement Learning for Process Control and Optimization

The candidate will develop reinforcement learning approaches to opti...