Scheduled presentations:

• A Multi-Fidelity Surrogate Modeling Approach for Efficient Multi-Motor Loss Estimations
  *S. Guo (ABB Corporate Research Switzerland), S. Schoenborn (ABB Corporate Research Switzerland), P. Muszynski (ABB Motion System Drive)
• Surrogate models as Digital Twins to model EMC of Buck-Boost Converters for Automotive Applications
  *A. . (Indian Institute of Science), S. Nukala (Indian Institute of Science), D. Gope (Indian Institute of Science), J. Hansen (Institute of Electronics, TU Graz)
• Generic and Semantic Data Structure for Digital Twins on the Example of the EMC Domain
  *J. Wagner (Frankfurt University of Applied Sciences), P. Thoma (Frankfurt University of Applied Sciences)
• Implementation of a digital twin for electrical machines
  *K. Cherifi (TU Berlin), P. Schulze (TU Berlin), V. Merhmann (TU Berlin)
• Surrogate-Based Bayesian Updating of Finite Element Solutions for State Monitoring
  L. Hermann (TU Braunschweig), V. Narouie (TU Braunschweig), *U. Römer (TU Braunschweig), H. Wessels (TU Braunschweig)