[AISWorld] CFP-Fifth IEEE Int. Conf. on Big Data Service and Applications, April 8-12, 2019, San Francisco, USA

[Vijayan Sugumaran]

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/

 

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 at oakland.edu> sugumara at oakland.edu

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