Call for Papers – Industry, Systems and Apps Track
Call for Industry, Systems and Apps Track Papers
Continuing its history, MDM 2022 Industry, Systems and Application Track solicits submissions of papers describing original contributions in developing and applying mobile computing and data management technologies towards the myriad of real-world problems. We encourage industrial and academic researchers and practitioners to share and discuss the challenges and solutions in complex real-world systems, as well as the practices and examples in commercial use cases.
Topics of interest include, but not limited to:
l Theoretical Foundations of Data-intensive Mobile Computing
l Data Sensing Techniques in Mobile Computing
l Mobile Crowd-Sourcing and Crowd-Sensing
l Mobile Data Governance and Cleaning
l Mobile Data Management and Applications
l Data Security and Privacy in Mobile Data Computing
l Machine Learning/AI for Mobile Data
l Mobile Data Visualization Systems and Applications
l Novel Mobile Data Processing Tools/Middleware
l Location-Based Services and Applications
l Urban Computing Applications
l Page limit: 8 pages, including all figures, tables, and references.
l Please use the following URL for paper submissions: https://cmt3.research.microsoft.com/User/Login?ReturnUrl=%2FMDM2022
l All submissions need to follow IEEE Computer Society Proceedings Manuscript Formatting Guidelines. See templates here.
Note that a paper exceeding the page limit in the respective category may be rejected without review. If there are any appendices, they are counted within the page limit.
Submission of a meaningful abstract by the abstract deadline is a precondition for paper submission.
The Review Process will be single-blind (i.e., the reviewers are not identified).
IEEE CPS: https://www.computer.org/conferences/cps
All accepted papers will be published in the proceedings of the 2022 International Conference on Mobile Data Management and included in the IEEE Xplore® digital library
Industry, Systems and Apps Track Chairs
Jie Bao (JD.com, China)
Christian Becker (University of Mannheim, Germany)
Lei Chen (Hong Kong University of Science and Technology, Hong Kong)