[hpc-announce] CFP IEEE BigDataService 2019 - April, 2019, San Francisco East Bay, USA

[Zeyu Gao]

We apologize if you receive multiple copies of this CFP.
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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 4 - 9, 2019, San Francisco, USA

http://big-dataservice.net/

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. 4-9, 2019



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. 4-9, 2019


Organizing Committee:

*Honorary Chairs*

Shi-Kuo Chang, San Jose State University, USA

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



For the conference organization and program, please contact

Simon Shim:  simon.shim at sjsu.edu  or

Fan Jing Meng: mengfj at cn.ibm.com

For workshop, please contact Ping Ping: pingpingnjust at 163.com

For conference operations, please contact Jerry Gao: jerry.gao at sjsu.edu
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