
06. September - 06. September 2026
International Conference on Mobile Data Management
Noch keine Follower.
Übersicht
The 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. Comprising both research and industry tracks, it serves as an important bridge between academic researchers and industry researchers. Along with the presentations of research publications, it also serves as a meeting place for technical demonstrations (demos), advanced seminars, panel discussions as well as PhD forum and Industrial forum to cater PhD students and industrial developers. The conference focuses on research contributions in data management in mobile, ubiquitous and pervasive computing.
The 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. Comprising both research and industry tracks, it serves as an important bridge between academic researchers and industry researchers. Along with the presentations of research publications, it also serves as a meeting place for technical demonstrations (demos), advanced seminars, panel discussions as well as PhD forum and Industrial forum to cater PhD students and industrial developers. The conference focuses on research contributions in data management in mobile, ubiquitous and pervasive computing.
Konferenzdaten
Conference Date
6. September 2026
- 29. Juni 2026
- 2. Juni 2025 - 5. Juni 2025
Einreichung
Paper submission
NEU3. Juni 2026
Quellenrang
Quelle: CORE2023
Rang: B
Forschungsgebiet: Data management and data science, Distributed computing and systems software