Topics of Interest
MEDI 2026 welcomes submissions on a wide range of topics related to model and data engineering. We encourage both theoretical and applied research contributions in the following areas:
Artificial Intelligence (AI)
- Modeling for Generative AI
- Modeling for Large Language Models
- Modeling for Explainable AI
- Agent theories and models
- Agent ontologies, reasoning, and decision-making
- Agent and multi-agent learning, Q-learning, reinforcement learning
- Traditional Databases for AI
- AI for Data Management
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
- Modelling for reuse, dependability and maintainability
- Entity-Relationship modelling and extensions
- Models for security, trust, risk
- Models for Big Data & NoSQL databases
- Graph-based modelling for complex relationships
- Data modelling for machine learning pipelines
Data Engineering
- Data Science Workflow
- Data Streams
- Heterogeneous data, data Integration, Interoperability
- Data warehouses, Data Lakes, Data Fabric
- Database system Internals, performance analysis, self-tuning benchmarking and testing
- Web databases, ontology-based databases
- Service based data management
- Service oriented applications
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
