Specific areas of interest to MEDI2025 include but are not limited to :-
Artificial Intelligence (AI)
Modeling for Generative AI
Modeling for Large Language Models
Modeling for Explainable AI
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 as services and models monitoring
Modelling for reuse, dependability and maintainability
Models for security, trust, risk
Models for Big Data & NoSQL databases
Data Engineering
New models and architectures for Databases
Heterogeneous data, data Integration, Interoperability
Data warehouses, Data Lakes, OLAP, data mining and Analytics
Database system Internals, performance analysis, self-tuning benchmarking and testing
Database security, personalization, recommendation
Web databases, ontology-based databases
Service based data management
Service oriented applications
Urbanization of database applications
Data models for AI techniques and Machine Learning
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