The 5th IEEE International Conference on Big Data Intelligence and Computing (DataCom 2019)

November 18-21, 2019

Kaohsiung, Taiwan

Big data is a rapidly expanding research area spanning the fields of computer science and information management, and has become a ubiquitous term in understanding and solving complex problems in different disciplinary fields such as engineering, applied mathematics, medicine, computational biology, healthcare, social networks, finance, business, government, education, transportation and telecommunications.

The goal of the IEEE 2019 International Conference on Big Data Intelligence and Computing (IEEE DataCom 2019) is to establish an international forum for engineers and scientists to present their ideas and experiences in the fields of Big Data intelligence and computing. IEEE DataCom 2019 welcomes paper submissions on innovative work from researchers in academia, industry and government describing original research work in Big Data.

IEEE DataCom 2019 will be held on November 18-21, 2019, co-located with IEEE SOCA 2019, IEEE SC2 2019, IOV 2019 in Kaohsiung, Taiwan

Scope and Topics

Topics of interest include, but are not limited to:

  • The 5Vs of the data landscape: volume, variety, velocity, veracity, value
  • Big data science and foundations, analytics, visualization and semantics
  • Software and tools for big data management
  • Security, privacy and legal issues specific to big data
  • Big data economy, QoS and business models
  • Scientific discovery and business intelligence
  • Software, hardware and algorithm co-design, high-performance computing
  • Large-scale recommendation systems and graph analysis
  • Infrastructures and systems for big data analytics and managements
  • Middleware and tools for big data analytics and managements
  • Algorithmic, experimental, prototyping and implementation
  • Data quality issues: such as validation, metrics, optimizations and consistency
  • Data-driven innovation, computational modelling and data integration
  • Data intensive computing theorems and technologies
  • Big data for advanced manufacturing and productivity
  • Modelling, simulation and performance evaluation
  • Green data centers / environmental-friendly perspectives
  • Computing, scheduling and resource management for sustainability
  • Complex applications in areas where massive data is generated

Important Dates

Research Article (early track):

  • Paper Submission: May 30, 2019
  • Author Notification: June 15, 2019

Early track is mainly for authors who need more time to get invitation letter for processing VISA

Research Article (regular track):

  • Paper Submission: July 20, 2019
  • Author Notification: August 31, 2019

Poster/Special Session:

  • Paper Submission: September 10, 2019
  • Author Notification: September 26, 2019

Registration Due:

  • October 10, 2019

Camera-ready submission:

  • October 20, 2019

Official Invitation Letter will be issued upon completion of registration

Organization Committees

General Chairs

  • Ren-Hung Hwang, National Chung Cheng University, Taiwan
  • Albert Zomaya, The University of Sydney, Australia
  • Jiming Chen, Zhejiang University, China

Program Chairs

  • Che-Rung Lee, National Tsing Hua University, Taiwan
  • Jemal Abawajy, Deakin University, Australia

Workshop Chairs

  • Che-Lung Hung, Chang Gung University, Taiwan

Demo/Poster Chair

  • Hung-Chang Hsiao, National Cheng Kung University, Taiwan

Award Chair

  • Frank Hsu, Fordham University, USA

Publicity Chair

  • Song Wu, Huazhong University of Science and Technology, China
  • Bahman Javadi, University of Western Sydney, Australia
  • I-Hsin Chung, IBM Thomas J. Watson Research Center, USA
  • Chao-Chin Wu, National Changhua University of Education, Taiwan

Publication Chair

  • Alex Mu-Hsing Kuo, University of Victoria, Canada

Advisory Committee

  • Anna Kobusinska, Poznan University of Technology, Poland
  • Beniamino Di Martino, Second University of Naples, Italy
  • Christophe Cérin, Université Paris 13, France
  • Cho-Li Wang, The University of HongKong, Hong Kong
  • Jinsong Wu, University de Chile, Chile
  • Rajiv Ranjan, Newcastle University, UK
  • Song Guo, The Hong Kong Polytechnic University, Hong Kong
  • Vincent S. Tseng, National Chiao-Tung University, Taiwan
  • Wenguang Chen, Tsinghua University, China
  • Xiaolin Li, University of Florida, USA
  • Yeh-Ching Chung, The Chinese University of HongKong, Hong Kong
  • Feng Xia, Dalian University of Technology, China

Steering Committee

  • Sanjay Ranka, University of Florida, USA
  • Robert Hsu, National Chung Cheng University, Taiwan
  • Manish Parashar, Rutgers University, USA
  • Hai Jin, HUST, China
  • Jie Li, University of Tsukuba, Japan
  • Yuanyuan Yang, Stony Brook University, USA