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