Scheduled presentations:

• Learning Latent Degradation Dynamics from Sparse Data and Population Statistics for Sequential Maintenance Decisions
  *T. Heinzle (Technical University of Munich), D. Straub (Technical University of Munich)
• Multi-Fidelity Data Generation for Reliable Imitation Learning of Robot Control Policies
  *D. Chatzis (Siemens AG)
• Component-Level Machine Learning for Mechanical System Dynamics
  *B. Todorov (Technical University of Munich (TUM)), T. Slimak (Technical University of Munich (TUM)), A. Zwölfer (Technical University of Munich (TUM))
• Reinforcement Learning–Driven Adaptive Control for Frequency Regulation in Renewable-Dominated Microgrids
  *A. Daraz (KFUPM), M. Majid Gulzar (KFUPM)
• Multiclass Classification of Stochastic Dynamic Responses: A Comparative Study of Moment-Based and Signal-Based Machine Learning Approaches
  A. Ozga (AGH University of Krakow), *C. Hamrani (AGH University of Krakow), N. Frankowska (AGH University of Krakow)
• Thermal modeling of electric vehicle motors based on Newton's Law of Cooling with predictive control and nonlinear tuning using artificial intelligence
  *J. Santana (State University of Bahia)