Welcome to MDM 2019, Hong Kong

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. The conference this year is hosted by Department of Computer Science of Hong Kong Baptist University.

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), workshops, 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.

Click here to check MDM 2019 Poster


News & Updates

Nov 9: High-quality papers will be selected and recommended to a special issue of the International Journal of Distributed and Parallel Databases.
Aug 31: Call for supporter
Aug 8: Two special tracks on (i) Mobile Data & AI and (ii) Transport & Urban Analytics will be organized to promote interdisciplinary research and applications.

Important Dates

Research Track

Paper Registration and Abstract Deadline: January 11, 2019 23:59 (anywhere on the earth)
Paper Submission Deadline: January 18, 2019 23:59 (anywhere on the earth)
Notification of Paper Acceptance: March 22, 2019
Camera-ready Deadline: April 2, 2019 (anywhere on the earth)


Sponsors and Supporters

IEEE
Department of Computer Science, Hong Kong Baptist University
IEEE Technical Committee on Data Engineering (TCDE)
Croucher Foundation

Sponsored by:
The Institute of Electrical and Electronics Engineers (IEEE)
Hong Kong Baptist University (HKBU)
Department of Computer Science, Hong Kong Baptist University
IEEE Technical Committee on Data Engineering (TCDE)
Croucher Foundation