Scheduled presentations:

• Advancements in Hybrid Modeling for Battery Electrode Manufacturing Utilizing a Physics-inspired Data-driven Approach
  S. Hosseinhashemi*, C. Thon, C. Schilde
• A Practical Data Generation Framework for 4D Automotive MIMO Radar: Enabling Deep Learning and Radar Performance Analysis
  M. Jürgensen*, M. Vossiek, J. Fuentes Michel
• A Point-Cloud Enhanced Transfer Learning Approach for Crashworthiness Analysis
  G. Colella*, V. Lange, F. Duddeck
• Mapping Manufacturing Variability to Composite Pressure Vessels’ Geometry
  R. Santos*, A. Persoons, D. Moens
• Machine Learning Prediction of Random Property Fields From Microstructure Images
  P. Gavallas*, J. Bourinet, C. Mattrand, G. Stefanou, D. Savvas
• Model Uncertainty Quantification and Selection for Deep Learning-based Simulation of Hysteresis with Stiffness and Strength Degradations
  J. Jeon*, J. Song, O. Kwon