IWBDC2017

The Second International Workshop on Big Data and IoT Convergence

Important Dates

Paper due: May 1, 2017
Author Notification: May 8, 2017
Camera-ready due: May 15, 2017
Registration due: May 15, 2017
Workshop Date: July 4, 2017

General Information

Big data & IoT convergence technology has recently emerged as the next frontier for innovation, competition, and productivity of many fields including science, engineering, industries, society, and public sectors. Big data is a collection of huge data sets that is difficult to process using traditional computing database technologies. IoT will be the biggest source of big data in the future. Big data technology includes capturing, curation, storage, search, sharing, transfer, analysis and visualization of big data and becomes the core platform for intelligent management of the IoT services. This workshop focuses on recent developments and applications of big data and IoT services in various application domains.

Technical Topics

Workshop focus on topics related to the development and applications of big data and IoT convergence, which include, but are not limited to, the following:

  • Big Data Platform or Infrastructure
    – Cloud computing techniques
    – Big data as a service
    – Big data platforms
    – Big data in mobile or pervasive computing environments.
  • Big Data Management and Analysis
    – Hive and R analysis for big data
    – Data Mining for Big Data
    – Visualization for big data analysis
    – Big data analytics and social media
  • Big Data Governance
    – Big data quality, big data privacy
    – Big data life cycle management
    – Organization and systems for big data
  • Big Data for Industries, Society, and Government
    – Big data for business innovation, competition, and productivity
    – Big data for vertical industries (healthcare and medicine, bioinformatics, finance, business,
    law, education, transportation, telecommunication, science, engineering, ecosystem, etc.)
    – Big data in government or public sectors
    – SNS analysis for society
  • Applications of Big Data and IoT convergence
    – Big data Processing for IoT applications
    – Smart manufacturing and logistics with IoT and big data
    – Smart healthcare with IoT and big data
    – Internet of Things applications
  • Big Data and IoT standardization
    – Interoperability of big data and IoT systems
  • Demonstration and Field Applications of Big Data

All papers must be submitted electronically, in PDF format, and uploaded on EDAS. The direct link for paper submission is https://edas.info/newPaper.php?c=22905&track=84447. There are two options for the submissions, either a full paper or a short paper. We decided to allow the submission of short papers in order to accommodate the most recent research outcomes. The submissions should be formatted with single-spaced, double-column pages using at least 10 pt (or higher) size fonts on A4 or letter pages in IEEE style format. The maximum number of pages is 6 for full papers and 3 for short papers. Detailed formatting and submission instructions will be available on the conference web site (http://www.icufn.org).

Submitted papers will be reviewed by the workshop Program Committee and judged on originality, technical correctness, relevance, and quality of presentation. All accepted papers will appear in the IEEE Xplore Digital library and will be indexed by SCOPUS and EI Compendex only if at least one of the authors registers at the full registration rate and attends to present the paper. Also, extended versions of selected papers will be published in the following international journals (SCIE-indexed) as a special section for the ICUFN 2017.

– Wireless Communications and Mobile Computing (SCIE)
– Wireless Personal Communications (SCIE)
– International Journal of Distributed Sensor Networks (SCIE)
– Mobile Information System (SCIE)
– Sensors (SCIE)
– INFORMATION Journal (Scopus)
– International Journal of E-Health and Medical Communications (Scopus)
– ICT Express
– Recent Advances on Communications and Networking Technology

Program Committee

  • Wan-Sup Cho, Chungbuk National University, Korea (Chair)
  • Yong-Ik Yoon, Sookmyung Women’s University, Korea (Vice Chair)
  • SeonPhil Jeong, BNU-HKBU United International College, China
  • YoungJoon Byun, California State University, USA
  • Sang-Wook Kim, Hanyang University, Korea
  • Wookey Lee, Inha University, Korea
  • Young-Ho Park, Sookmyung Women’s University, Korea
  • Kwan-Hee Yoo, Chungbuk National University, Korea
  • Sang-Hyun Choi, Chungbuk National University, Korea
  • Su-Young Chi, Electronics and Telecommunications Research Institute, Korea
  • Yoo-Sung Kim, Inha University, Korea
  • Young-Sang Lee, Datastreams Corp., Korea
  • Keun-Hyung Kim, Jeju National University, Korea
  • Yang-Sae Moon, Kangwon National University, Korea
  • Yun Jang, Sejong University, Korea
  • Jae- Gil Lee, KAIST, Korea
  • Aziz Nasridinov, Chungbuk National University, Korea
  • Ji Dae Kim, Chungbuk National University, Korea
  • Woong-Kee Loh, Gachon University, Korea
  • Young-Chan Kim, Hanbat National University, Korea
  • Yong-Seok Seo, Chungbuk National University, Korea

Contact