Specific areas of interest to MEDI2024 include but are not limited to:

• Modelling and Models Engineering

  • Modelling languages and related standards
  • Modelling in software and complex system engineering
  • Formal methods, analysis, verification & validation
  • Model-based testing and performance analyses
  • Ontology-based modelling
  • Heterogeneous modelling, model integration, interoperability, model transformation
  • Collaborative modelling and model repositories
  • Models for parallel and distributed computing
  • Models as services and models monitoring
  • Modelling for reuse, dependability and maintainability
  • Models for privacy, security, trust, risk
  • Data privacy and Security
  • Models for Data Science
  • Models for Explainable AI
• Data Engineering
  • New models and architectures for databases
  • Heterogeneous data, data Integration, Interoperability
  • Data warehouses, OLAP, data mining and Analytics
  • Extending Data Warehousing Technology
  • Database system Internals, performance analysis, self-tuning benchmarking and testing
  • Database security, personalization, recommendation
  • Web databases, Knowledge Graphs
  • Service based data management
  • Service oriented applications
  • Urbanization of database applications
  • Data models for AI techniques and Machine Learning
  • Data Quality
  • Data Analytics
• Applications and tools
  • Industry transfer, experiences
  • Applications of modelling for Data Management
  • Applications of modelling for Biomedical data and systems
  • Modelling tools and experimentation
  • Lessons learned and reports related to models/data engineering