IEEE MDM 2023: Call for Demo Track Papers
The IEEE MDM 2023 demo track solicits the submission of high-quality research, systems and platform, product demonstrations, and exhibits from both academia and industry. We strongly encourage demos based on novel applications in the area of mobile data management that showcase cutting-edge and innovative research and development outcomes.
Demos are an important part of MDM 2023. They provide researchers and research practitioners with an exciting and highly interactive way to demonstrate their research and development outcomes.
Topics of interest include, but not limited to:
- Machine Learning/AI for Mobile Data
- Novel Data Science Applications on Mobile Data
- Data Management in Mobile Cloud and Edge Computing
- Data Management for Big and Small (Sensor Data)
- Internet of Things (IoT) and Mobile SmartPhone-based and Wearable Sensor Systems
- Data Management for Industrial Internet of Things
- Data Management for Mobile Augmented, Virtual and Mixed Reality Systems
- Data Management for Connected Cars, Autonomous Vehicles, Intelligent Transportation Systems, and Smart Spaces
- Data Management in Mobile Health and Epidemics
- Mobile Crowd-Sourcing and Crowd-Sensing
- Behavioral/Activity Sensing and Analytics
- Mobile Location-Based Positioning Systems, Social Networks, Trajectory Analysis, and Tracking Technologies
- Mobile Recommendation Systems (Routing, Personalized Routing, Eco-Routing, Routing for Electrical Vehicles)
- Context-aware Computing for Intelligent Mobile Services
- Middleware and Tools for Mobile and Pervasive Computing
- Data Stream Processing in Mobile/Sensor Network
- Indexing, Optimisation and Query Processing for Moving Objects/Users
- Security and Privacy in Mobile Systems
- Transportation-As-A-Service, Mobility-As-A-Service, Data-As-A-Service
- Innovative Applications and real-world deployments driven by Mobile Data
Demonstration papers will be evaluated according to the novelty of the systems/solution as well as how well the audience can be engaged during the conference. It is therefore in the author's best interest to discuss in the paper itself how demonstrations will be conducted and what aspects thereof will be highlighted in the demo. For example, if your demonstration is web-based, you can include a link to your demonstration which will provide a much higher chance of interactivity with the audience.
Submission Guidelines
- Page limit: 2-4 pages, including all figures, tables, and references.
- Please use the following URL for paper submissions:
https://cmt3.research.microsoft.com/MDM2023/
- 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.
The Review Process will be single-blind (i.e., the reviewers are not identified).
Important dates (anywhere on the earth)
| Submission Deadline: | (anywhere on earth) |
(anywhere on earth) |
April 18th, 2023 (anywhere on earth) |
| Notification Date: | (anywhere on earth) |
May 19th, 2023 (anywhere on earth) |
|
| Camera-ready Deadline: | (anywhere on earth) |
May 26th, 2023 (anywhere on earth) |
Publisher
IEEE CPS: https://www.computer.org/conferences/cps
All accepted papers will be published in the proceedings of the 2023 International Conference on Mobile Data Management and included in the IEEE Xplore® digital library
Copyright ©2022 All rights reserved