Call for Papers of Special Track (Mobile Data & AI)

Special Track (Mobile Data & AI) in MDM 2019 seeks submissions of original research contributions in the intersection of mobile data and artificial intelligence. Topics of interest include, but not limited to:

  • AI-powered user interfaces for mobile applications and services
  • AI for mobile advertising
  • AI for mobile entertainment
  • AI for mobile fintech
  • AI for mobile health informatics
  • AI for mobile learning
  • AI for mobile location services
  • AI for mobile recommendation
  • AI for mobile social computing
  • AI for mobile knowledge management and integration
  • AI for intelligent mobile applications
  • AI for IoT and smart city
  • AI for smart transportation
  • Big data analytics for AI and mobility-enabled services
  • Mobile augmented reality
  • Mobile crowd intelligence
  • Mobile robotics and auto piloted vehicles
  • Scalability issues in AI and mobility-enabled services
  • Security and privacy for AI and mobility-enabled services
  • User modeling and personalization in AI and mobility-enabled services
  • User studies of AI and mobility-enabled services
  • Evaluation of AI and mobility-enabled services

Submission Guidelines

Please use the following URL link for submissions. (choose "Special Track: Mobile Data & AI").

All submissions need to follow IEEE Computer Society Proceedings Manuscript Formatting Guidelines. See templates here. The followings are the page limits:

Special Track (Mobile Data & AI)
Regular papers: 8 pages + up to 2 additional pages for bibliography/appendix
Short papers: 5 pages + up to 1 additional page for bibliography/appendix

Important Dates

Paper Registration and Abstract Deadline: January 11, 2019 23:59
Extended to January 28, 2019 23:59 (anywhere on the earth)
Paper Submission Deadline: January 18, 2019 23:59
Extended to January 28, 2019 23:59 (anywhere on the earth)
Notification of Paper Acceptance: March 22, 2019
Camera-ready Deadline: April 2, 2019
Extended to May 3, 2019 (anywhere on the earth)

Program Committee

  • Guibing Guo, Northeastern University, China
  • Xiuqiang He, Tencent, China
  • Fabrizio Lamberti, Politecnico di Torino, Italy
  • Liang Lan, Hong Kong Baptist University, Hong Kong
  • Bin Li, Fudan University, China
  • Wengen Li, Hong Kong Polytechnic University, Hong Kong
  • Zakaria Maamar, Zayed University, United Arab Emirates
  • Zhengyu Niu, Baidu, China
  • Stephan Reiff-Marganiec, University of Leicester, UK
  • Christian Ritz, University of Wollongong, Australia
  • Benyun Shi, Hangzhou Dianzi University, China
  • Feng Wang, Tencent, China
  • Shuaiqiang Wang, JD.COM, China
  • Wen Wu, Hong Kong Baptist University, Hong Kong
  • Weicheng Xie, Shenzhen University, China
  • Haiqin Yang, Meitu Inc., China
  • Zhou Zhao, Zhejiang University, China

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

Supported by:
Global eSolutions