Conference Topics

Track 1: Data-Driven and Physics based ML methods

• Agentic AI
• Data-driven modelling
• Generative AI and Generative Design Foundational models
• Surrogate modelling
• Equation free methods

Track 2: Digital Twins in engineering

• Data processing and data-assimilation
• Human centric:
• NLP, AR, VR and HR, Computer Vision
• Explainable AI
• Education and Ethics
• Material digital twins: Digital material modelling and characterization 
• AI in Structural health monitoring, Inference and System Identification
• Technologies enabling Digital Twins: MOR, Informed-AI, Hybrid models

Track 3: Mathematical foundations of AI

• Error analysis and robustness
• Optimization
• Stochastic methods in AI
• Domain Decomposition methods

Track 4: Industrial applications of Machine Learning

• Biomedical, bioengineering and health care
• Manufacturing processes
• System modelling

Track 5: AI in High Performance Computing

• Computational platforms and HPC infrastructures for AI applications
• Quantum Computing
• Data driven methods at Exascale
• High Performance Computing