Topics Covered
Day 1
- Introduction of Machine Learning
- Physics-Informed Machine Learning (PIML)
- Explainable AI (XAI) for Engineering Systems
- Edge and Embedded Machine Learning
Day 2
- Digital Twins and ML Integration
- Federated Learning for Collaborative Engineering
- ML for Uncertainty Quantification and Robust Design
- Automated Machine Learning (AutoML) in Engineering
Day 3
- Multi-Modal Data Fusion in Engineering
- Reinforcement Learning for Control and Optimization
- Ethics and Safety in Engineering AI Systems
Note: ✅Participants will receive the meeting details 24 hours before the event
✅ Participants will receive electronic certificates and video recording links after completion of the workshop.