BDIOT 2019

Warm welcome to the official website of The 3rd International Conference on Big Data and Internet of Things (BDIOT2019). The Conference will be held in La Trobe University, Melbourn, Australia during August 22-24, 2019

The rapid advancement and ubiquitous penetration of mobile network, web based information creation and sharing, and software defined networking technology have been enabling sensing, predicting and controlling of physical world with information technology. Every business process can be empowered, and therefore, various industries redesign their business models and processes along Internet of Things (IoT) paradigm.  The main purpose of BDIOT2019 is to provide an international platform for presenting and publishing the latest scientific research outcomes related to the topics of Big Data and Internet of Things.

Important Dates

Submission Deadline (Full Paper)

April 10th, 2019

Notification Date

April 30th, 2019

Registration Due

May 20th, 2019

Conference Dates

August 22-24, 2019

Conference Proceedings

All submissions will be peer reviewed 2-3 reviewers, and the accepted papers after registration will be published in the BDIOT2019 Conference Proceedings, which will be indexed by Ei Compendex and Scopus and submitted to be reviewed by Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science).

BDIOT 2018 - ACM, ISBN: 978-1-4503-6519-2 (Read More)

BDIOT 2017 - ACM, ISBN: 978-1-4503-5430-1(Read More| Ei-Compendex & Scopus (Ei核心检索和Scopus收录)

Submission System:, |  


Special Issues

Selected registered & presented papers with extension will be recommended to be published in a special issue of Healthcare Information Technology for the Extreme and Remote Environments with IEEE Access (SCIE-indexed Impact factor 3.557).   

Selected registered & presented papers with extension will be recommended to be published in a special issue of Big Data Processing and Analytics in the Era of Extreme Connectivity and Automation with the MDPI Future Internet (ESCI-indexed).   


Conference Scopes

Topics of interest include (but not limited to) the following: 

  1. Big Data fundamentals - Services Computing, Techniques, Recommendations and Frameworks

  2. Modeling, Experiments, Sharing Technologies & Platforms

  3. SQL/NoSQL databases, Data Processing Techniques, Visualization and Modern Technologies

  4. Analytics, Intelligence and Knowledge Engineering

  5. Intelligent Systems for IOT and Services Computing

  6. Network Design and Architecture

  7. Context-awareness and Location-awareness

  8. Data Analysis and Visualization for Smart City, Green Systems and Transport Systems


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