Conference Information

MDM 2026: International Conference on Mobile Data Management

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Submission Date:
2026-02-20 Extended
Notification Date:
2026-03-20
Conference Date:
2026-06-29
Location:
Athens, Greece
Years:
27
CCF: c   CORE: c   QUALIS: a2   Viewed: 62581   Tracked: 61   Attend: 14

Call For Papers

MDM 2026 (International Conference on Mobile Data Management) is a CCF C / CORE C / QUALIS A2 conference held in Athens, Greece on 2026-06-29. The paper submission deadline is 2026-02-20 (extended). Acceptance notifications are sent on 2026-03-20.

The Mobile Data Management (MDM) series of conferences, since its debut in 1999, has established itself as a prestigious forum for the exchange of innovative and significant research results in mobile data management. The conference provides unique opportunities to bring researchers, engineers, and practitioners together to explore new ideas, techniques, and tools, and exchange experiences. Continuing its history, MDM 2026 seeks submissions of original research contributions in the intersection of mobile computing and data management. Topics of Interest We welcome papers on topics including, but not limited to: Mobile Data Management - Mobile Crowd-Sourcing and Crowd-Sensing - Mobility Simulation - Indexing, Optimization and Query Processing for Moving Objects/Users - Data Management for Internet of Things (IoT) and Sensor Systems - Data Quality: Methodologies, Metrics, Algorithms - Security and Privacy Mobile Computing and Systems - Theoretical Foundations of Data-intensive Mobile Computing - Middleware and Tools for Mobile and Pervasive Computing - Stream Processing in Mobile/Sensor Networks - Mobile Cloud Computing and Data Management in the Mobile Cloud - Context-Aware Computing for Intelligent Mobile Services - Edge Computing for Mobility Data - Mobile Recommender Systems and Location-Based Social Networks Machine Learning and Analytics for Mobile Data - Spatio-Temporal Analysis - Mobility-as-a-Service (MaaS) Analytics - Behavioral/Activity Sensing and Analytics - Mobile Data Knowledge Representation - Learned Indexing, Learned Query Optimisation for Mobile Data - Visual Analytics - Responsible AI for Mobile Data: Explainability (XAI), Privacy-Preserving AI, Ethical Use of AI, Fairness, Interpretability, Safety - Federated Learning over Mobile Edge Data Sources Wearable, Sensing and Ubiquitous Systems - Applications of Mobile, Wearable, Sensing and Ubiquitous Systems - Privacy and Security of Mobile, Wearable, Sensing and Ubiquitous Systems - Resource-Efficient Machine Learning for Embedded and Mobile Systems - Experiences and Evaluation of Mobile, Wearable, Sensing and Ubiquitous Systems - Mobile and Wireless Networking - Performance Modeling and Energy Optimizations Applications and Emerging Technologies - Connected Cars, Intelligent Transportation Systems, Smart Spaces - Routing, Personalized Routing, Eco-Routing, Routing for Electrical Vehicles - Transportation-As-A-Service, Mobility-As-A-Service - Augmented Reality Systems - Data Economy, Incentive Mechanisms, Reputation Systems, and Game-theoretic Approaches - Connections to other Technologies (e.g., Blockchain) and Domains (e.g., Social Sciences). - Digital Twins and Industrial Metaverses
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