-------- Forwarded Message -------- Subject: [AISWorld] CFP-Fifth IEEE Int. Conf. on Big Data Service and Applications, April 8-12, 2019, San Francisco, USA Date: Thu, 30 Aug 2018 17:32:43 -0400 From: Vijayan Sugumaran sugumara@oakland.edu To: aisworld@lists.aisnet.org CC: 'Xiaohui Yuan' xiaohui.yuan@unt.edu, 'Zeyu Gao' jerry.gao@sjsu.edu, 'Fan Jing Meng' mengfj@cn.ibm.com, 'Hong Zhu' hzhu@brookes.ac.uk, 'Simon Shim' simon.shim@sjsu.edu
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
Big-Data computing and services have received significant attention in recent years. The IEEE BigDataService 2019 aims to provide a forum for researchers and practitioners to exchange innovative ideas, latest research results, and practical experiences and lessons learned. Its major objectives include big-data applications in various domains such as healthcare, business and financing, education and learning, social networks and media, urban and environment, sensors and Internet of things as well as technology aspects of big data computing and services such as computing services and architecture, modeling, data mining and analytics. The conference will be co-located with IEEE SOSE 2019, IEEE MobileCloud 2019 and IEEE DAPPCON 2019. IEEE BigDataService 2019 will consist of main tracks and special tracks. The conference will include 3 International Workshops of Smart City Big Data Analysis, Big Data in Water Resources, Environment, and Hydraulic from Engineering, and Industry Big Data and Signal Processing. All accepted papers will be included in the conference proceedings which is published by the IEEE CPS. Selected papers will be invited for extension and published in journals (SCI-Index).
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
Paper Submission
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. Research papers are limited to 8 pages, survey papers are limited to 10 pages, and experience/industry papers are limited to 6 pages. Authors must submit their papers at https://easychair.org/conferences/?conf=bds20190.
Paper Publication
All accepted papers will be published by IEEE Computer Society Press (EI‐Index) and included in IEEE Digital Library. For publication, at least one author is required to register at the full rate and present the paper at the conference for the paper to be included in the final technical program and the IEEE Digital Library. Selected papers will be invited for extension and published in journals (SCI-Index).
Important Dates
Workshop/Tutorial proposals: Oct. 15 2018
Full paper submission: Nov. 30 2018
Notification: Jan. 10 2019
Final Paper and Registration: Jan. 31 2019
Conference: Apr. 8-12 2019
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
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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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