The Big Data Analytics and Internet of Things (BDA-IoT) workshop, part of the 2017 IEEE International Conference on Big Data, is going to be held on December 11, 2017 at Boston, MA, USA.  Connected objects and devices embedded in smart homes, transportation, and industrial equipment are digitizing the physical world and open unique opportunities to control and understand complex physical systems much better than ever before.

However, a new set of models and analytical methods will be required when dealing with such systems, which greatly depart from traditional analytical, data-driven only methods used in common Big Data applications (e.g., on transactional or social data).  We invite participants from a wide range of fields to discuss the most recent research at the intersection of Big Data, Internet of Things and industry specific analytics.  This workshop promotes an intense dialogue between academia and industry to bridge the gap between academic research, industry initiatives, and governmental policies.  This goal is fostered through keynote speakers, panel discussions, and regular talks.


Topics of interest include, but not limited to:

I. Industry specific Big Data Analytics for IoT

  • Application of IoT in Insurance, Agriculture, Transportation, Smart Cities, Healthcare, and Smart grid
  • Connected cars, mobile IoT platforms, and real-time system optimization
  • Energy efficiency and smart homes and buildings
  • Natural resource monitoring using satellite data
  • Big Data for social goods to eliminate famine and mitigate poverty

II. Scalable data analytics and data fusion

  • Combining physical models with statistical analysis
  • Efficient data curation and indexing for data discovery
  • Risk and liability for autonomous systems driven by IoT devices/sensors
  • Data compression for bandwidth constrained communications
  • Emerging standards for communication protocols and data exchange
  • Securing IoT devices and communication channels to preserve privacy and cyber-security

III. Edge computing and Edge Data Informatics

  • Computing on the frontier
  • Optimization for the edge, optimal (and dynamic) sensor placement
  • Distributed “Digital twins”
  • Distributed Asynchronous algorithms for edge computing
  • Making the edge devices self-aware, self-healing, self-simulation
  • Exploration/Exploitation Tradeoff on the edge
  • Avoiding over treating, over sensing, over testing, and over fitting in the edge


Papers submitted to BDA-IOT will be reviewed by technical committees of the conference. All accepted and presented papers will be published in the IEEE conference proceeding.


We would like to invite you to participate and submit your original research article at:


Important Dates:

Electronic submission of full papers: Oct. 1, 2017

Notification of paper acceptance: Oct.15, 2017

Camera-ready of accepted papers: Nov.10, 2017

Workshop: Dec.11, 2017


Our goal is to promote the development of emerging multidisciplinary field at the intersection of the internet of things (sensors and networks), Big Data technology (Spark, Hadoop), and domain specific analytics where a combination of the tools and methods is needed to yield transformational solutions for industries, government, and society.


Thanks for Your Attention,


BDA-IoT organizing committee