Overview

The Eleventh International Conference on Model & Data Engineering (MEDI) will be held from 21 to 24 November 2022 in Cairo, Egypt. Its main objective is to provide a forum for the dissemination of research accomplishments and to promote the interaction and collaboration between the models and data research communities. MEDI2022 provides an international platform for the presentation of research on models and data theory, development of advanced technologies related to models and data and their advanced applications. This international scientific event, initiated by researchers from Middle eastern countries, aims also at promoting the creation of north-south scientific networks, projects and faculty/student exchanges.

Topics of interest

Specific areas of interest to MEDI2022 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 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, 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, 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