Scheduled presentations:

• Transforming Composite Manufacturing: AI-Driven Defect Detection and Prediction in Real-Time
  *I. Tretiak (Bristol Composites Insititute, University of), A. Koptelov (Bristol Composites Insititute, University of), B. El Said (Bristol Composites Insititute, University of)
• Student Assessing Cryobot Trajectory in Cryotwin: A Data-Integrated, Modular, and Extendable Virtual Framework
  *D. Bhattacharya (MBD, RWTH Aachen University), J. Kowalski (MBD, RWTH Aachen University)
• Importance of Causality in Digital Twins: A Special Case for Predictive Maintenance of a Gas Turbine Engine
  *M. Tiwari (Bosch Grow Platform GmbH), P. Rao (Bosch Grow Platform GmbH), P. Schlachter (Bosch Grow Platform GmbH)
• Student Machine Learning Based Prediction of Chlorine Residuals in Water Supply Systems
  *S. Mota (University of Aveiro), A. Andrade-Campos (University of Aveiro), A. Reis (INESC Coimbra)
• Student An Industrial Digital Twin Structure Based on Maturity Level
  *T. Gupta (University of Oulu), A. Koskinen (University of Oulu), Q. Khadim (University of Oulu), E. Kurvinen (University of Oulu)