12th International Conference on Model and Data Engineering
2-4 of November 2023, Sousse, Tunisia
12th International Conference on Model and Data Engineering
2-4 of November 2023, Sousse, Tunisia
12th International Conference on Model and Data Engineering
2-4 of November 2023, Sousse, Tunisia
We solicit proposals for Workshops to be collocated with the MEDI 2023.
Joint Conference to be held in Sousse, Tunisia.
Workshop proposals should focus on a research area within the field of model and data engineering.
Workshops may last half a day or a full day.
Workshop proposals should be emailed to the workshop co-chairs:
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Best papers from each workshop will be invited to the Computer Science and Information Systems Journal: http://www.comsis.org/ |
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The proposal should include:
The organizers of accepted workshops are expected to organize the workshop's program committee, disseminate the workshop call for papers, solicit submissions, conduct the reviewing process, and prepare the final workshop program. The official language of workshops is English.
Workshops will benefit from the MEDI 2023 organizational infrastructure and receive support w.r.t. registration, badges, lunches, coffee breaks, and publication of the workshop proceedings.
Publication
Workshop papers will be published by Springer in "Communications in Computer and Information Science".
Best papers from all accepted workshops will be selected for a special issue.
Important Dates:
Accepted workshops can consider the following dates as guides to ensure smooth publishing of the proceedings:
A detailed workshop timeline, i.e., deadlines for submissions, reviews, camera-ready due, are proposed by the workshop PC chairs, in agreement with the MEDI 2023 workshop chair.
Chirine Ghedira Guegan Amin Beheshti, Hassan Badir, Mohamed Mohsen Gammoudi
Model Driven Design (MDD) is already around for some years and is about to become a commodity in software development due to its benefits (reduction on development costs, improvement of software quality, reduction of maintenance costs, and the support for controlled evolution of IT systems). MDD has also been applied in many application areas, such as real-time and embedded systems, and telecommunication systems. Large data repositories (LDR) such as Data Lakes, Data Warehouses, and Big Data have been developed extensively during the last two decades. The high complexity and side-costs of designing, developing, and deploying such large data repositories suggest the adoption of model-driven approaches that foster modularity, reusability, and automatization of design and implementation tasks. The goal of this workshop is to bring together people working on MDD techniques and tools, and applying them on large data repositories, so that they can exchange their experience with the use of these techniques and tools, create new ideas, evaluate and improve their approaches and spread their use. This year, for the first edition, we will appreciate papers on the vision for the new trends for the design of large data repositories using model driven approach techniques and tools.
Program chairs:
Website: https://sites.google.com/view/mdd4ldr23/home
The Internet of Things (IoT) has revolutionized how we interact with the world, generating vast amounts of data from connected devices. To effectively manage and analyze this data, specialized data engineering techniques are essential. In this workshop, we will delve into the realm of IoT data engineering, focusing on constructing robust data pipelines capable of tackling the unique challenges posed by IoT data. The primary objective of the workshop is to provide researchers and industrialists with an opportunity to learn about developing cutting-edge data solutions and to engage in stimulating discussions on the latest advancements in this field
Program chairs:
Website: https://dei2023medi.netlify.app/#ag
The workshop aims to explore the recent trends to design and implement, on the one side, systems for efficiently managing large amounts of data and extracting useful knowledge from this data, and, on the other side, intelligent systems by exploiting artificial intelligence techniques. The workshop expands the knowledge portfolio, in both computer infrastructures for intensive data management and methods for data analytics and artificial intelligence, allowing participants to interact with professionals from different backgrounds in different domains and contexts, where data processing is required. It focuses on the intersection of AI and data engineering in the context of smart computing, elaborating how AI techniques and technologies can be leveraged to enhance data engineering processes and enable the development of intelligent and adaptive systems for smart computing applications. The workshop focuses, also, on the integration of multiagent systems and data engineering to harness collaborative intelligence in data-rich environments. Participants will have the opportunity to delve into cutting-edge research, emerging trends, and practical applications in AI-based data engineering.
Program chairs:
Website: https://sites.google.com/cy-tech.fr/ascade23/