About MEDI
International Conference on Model and Data Engineering (MEDI)
The 15th International Conference on Model and Data Engineering (MEDI 2026) will take place at Neapolis University Pafos in Pafos, Cyprus. Cyprus is a place where centuries-old history blends seamlessly with contemporary advancements. MEDI 2026 provides a special chance to engage with state-of-the-art research in model and data engineering while experiencing the island's rich cultural and historical backdrop. The conference seeks to unite researchers, professionals, and industry experts from across the globe to present new discoveries, examine emerging developments, and encourage collaboration in the areas of model and data engineering. We welcome submissions of high-quality research papers, industry case studies, and forward-looking contributions that advance both the theoretical and practical aspects of these domains. MEDI 2026 is an established international forum bringing together researchers and practitioners in Model-Driven Engineering, Data Management, and Information Systems.
Areas of interest for MEDI 2026 include, but are not limited to:
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
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
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
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
The conference proceedings will be published as a dedicated volume in the Springer Lecture Notes in Computer Science (LNCS) series.
