PhD students (2)

2022 (2)

Nicola Cantisani - Model Predictive Control for the Electrification of Industrial Processes using Renewable Energy Sources and Storage
Anders Hilmar Damm Andersen - Digitalization, Simulation, Control and Optimization for Power-to-X