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IEEE Computer Society
Call for Papers - IEEE BigDataService 2019
The Fifth IEEE International Conference on Big Data Service and
Applications
April 8 - 12, 2019, San Francisco, USA
http://big-dataservice.net/
IEEE BIGDATASERVICE 2019 invites authors to submit
Work-in-Progress (WIP) papers which are based on new ideas but at
the early stages of design and development. The papers should be
related to the theme of the conference.
The WIP papers will be reviewed by the members of the program
committee. They will provide feedback in order to help authors for
further improving their work. The WIP papers will be presented in
a separate track at the conference. It will provide a unique
opportunity for exchanging the new ideas with more experienced
researchers at the conference.
Once accepted, the paper will be included in the conference
proceedings and will be submitted for inclusion to IEEE Xplore as
well as other Abstracting and Indexing (A&I) databases.
WIP Papers Submission
WIP papers should be limited to 4 pages, or at most 2 additional
pages with the pages overlength charge, including figures, tables,
and references. Papers must be written in English. All papers must
be prepared in the IEEE double column proceedings format. Please
see the following link for details:
http://www.ieee.org/conferences_events/conferences/publishing/templates.html
Authors must submit their papers at the following link:
https://easychair.org/conferences/?conf=bds20190.
Important Dates
Full Paper Submission: 10 January 2019
Acceptance Notification: 22 January 2019
Registration Due: 31 January 2019
Conference Dates: 6–9 April 2019
CONTACT INFORMATION
For further details please get in touch with the PC Co-Chair:
Muhammad Younas (
m.younas@brookes.ac.uk), Oxford Brookes
University, UK
Topics of Interest include (but not limited to)
Big Data Foundations
- Foundational theoretical or computational models for big data
- Programming models, theories, and algorithms for big data
- Standards, protocols, and quality assurance for big data
Big Data Platforms and Technologies
- Innovative, concurrent, and scalable big data platforms
- Data indexing, cleaning, transformation, and curation
technologies
- Big data processing frameworks and technologies
- Big data services and application development methods and tools
- Big data quality evaluation and assurance technologies
- Big data system reliability and availability
- Open-source development and technology for big data
- Big Data as a Service (BDaaS) platform and technologies
Big Data Analytics and Services
- Algorithms and systems for big data search, analytics and
visualization
- Artificial Intelligence for big data and based on big data
- Visualization analytics for big data
- Knowledge extraction, discovery, analysis, presentation, and
visualization
Big Data Applications and Experiences
- Innovative big data applications and services in industries and
domains e.g. healthcare, finance, insurance, transportation,
agriculture, education, environment, multi-media, social networks,
urban planning, disaster management, security
- Experiences and case studies of big data applications and
services
- Real-world and large-scale practices of big data
Emerging Topics
- Sensor networks and Internet of Things
- Networking and protocols
- Smart City
Special Tracks
Special Track on Real-time Big Data Services and Applications
- Models, algorithms, and technologies for real-time big data
services and applications
- Experiences, practices and case studies of real-time big data
services and applications
Special Track on Big Data Security, Privacy and Trust
- Models, algorithms and technologies for big data security and
integrity
- Practical security and privacy technologies and applications for
big data
Special Track on Big Data and analytics for Healthcare
- Models, algorithms, and technologies of big data for healthcare
- Big data services and applications for healthcare
- Experiences, practices and case studies of big data technologies
for healthcare
Organizing Committee
General Chairs:
Simon Shim, San Jose State University, USA
Xiaohui Yuan, University of North Texas, USA
Sudip Bhattacharjee, University of Connecticut, USA
Program Chairs:
Fanjing Meng, IBM Research, China
Muhammad Younas, Oxford Brookes University, UK
Vijayan Sugumaran, Oakland University, USA
Workshop Chair:
Ping Ping, Hohai University, China
Publication Chair:
Pengcheng Zhang, Hohai University, China
Registration Chair:
Hyeran Jeon, San Jose State University, USA
Publicity Chair:
Birsen Sirkeci, San Jose State University, USA
Finance Chairs:
Jerry Gao, San Jose State University, USA
Chuli Xie, Jiangsu Normal University, China
Submission Chair:
Shengqiang Lu, Taiyuan University of Technology, China
Industry Outreach Chairs:
Jun Huang, Google, Inc.
Sourav Mazumder, IBM USA
Web Chair:
James Woo, San Jose State University
=============================================
Vijayan Sugumaran, Ph.D.
Professor of Management Information Systems
Chair, Department of Decision and Information Sciences
Co-Director, Center for Data Science and Big Data Analytics
School of Business Administration
Oakland University
Rochester, MI 48309
Phone: 248-370-4649
Fax: 248-370-4275
Email:
<mailto:sugumara@oakland.edu> sugumara@oakland.edu
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