Conference Information

MEDI' 2022: International Conference on Model & Data Engineering

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Submission Date:
2022-07-31
Notification Date:
2022-09-10
Conference Date:
2022-11-21
Location:
Cairo, Egypt
Years:
11
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Call For Papers

MEDI' 2022 (International Conference on Model & Data Engineering) is an academic conference held in Cairo, Egypt on 2022-11-21. The paper submission deadline is 2022-07-31. Acceptance notifications are sent on 2022-09-10.

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
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