IEEE Symposium on

Computational Intelligence in Internet of Everything

Computational Intelligence (CI) constitutes an umbrella of techniques, has proven to be flexible in solving dynamic and complex real-world problems. These techniques typically include neural networks and learning algorithms, fuzzy systems, evolutionary computation and other emerging techniques for dealing with uncertainties encountered in evolutionary optimization, machine learning and data mining.

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The CI techniques are also widely used in Internet of Everything (IoEt) applications such as Internet of Things, Fog Computing, Edge Computing, and Cloud Computing towards sustainable computing infrastructure at different levels. A large amount of effort is being put toward achieving distributed artificial intelligence. The aforementioned concepts of fog computing, cloud computing, and edge computing are instances of distributive computing. Distributed Artificial Intelligence is a method to enable complex learning, planning, and decision-making problems in a decentralized fashion. It is able to execute large scale computation through distributed computing resources. These properties allow it to solve problems that require the processing of very large data sets. This approach, when put together with the idea of Internet of Everything, opens up a new world of applications of artificial intelligence in a localised manner.

It is clear that Computer Intelligence is going to play a huge role in the lives of the average human being. With the ongoing research in fields like distributive computing, fuzzy logic, neural networks etc, we can also be sure that the intelligence that will run the world will be far more advanced and heuristic than the kind we have today.


Specific topics of interest include, but are not limited to:

  •    Data Analytics middleware for Edge computing
  •    Cloud-based intelligent analytics
  •    Edge-node-driven data analytics
  •    Intelligent data synchronization and updating between Edge nodes or Cloud nodes
  •    Data metering for Edge nodes and Cloud nodes
  •    Intelligent pricing mechanisms for Edge nodes and Cloud nodes
  •    Data-driven privacy and security solutions in Edge computing and Cloud computing
  •    Case studies for data analytics using Edge nodes or Cloud nodes

Symposium Chairs

Prof. Geoffrey Fox
Indiana University, USA

Prof. Schahram Dustdar
TU Wien, Austria

Dr. Farookh Hussain
University of Technology Sydney, Australia

Dr. Deepak Puthal
University of Technology Sydney, Australia

Dr. Bo Yuan
University of Science and Technology of China, Hefei, China

Dr. Mukesh Prasad
University of Technology Sydney, Australia

Program Committee

Prof. HelshamElsayedUnited Arab Emirates (UAE) University, UAE
Dr. OmprakashKaiwartyaNorthumbria University, UK
Dr. Yousef AwwadDaraghmiPalestine Technical University, Palestine
Dr. EkaratRattaganMahanakorn University of Technology, Bangkok, Thailand
Dr. Akshansh GuptaJawaharlal Nehru University, New Delhi, India
Ms. AsmaAlkalbaniUniversity of Technology Sydney, Australia
Dr. Handing WangUniversity of Surrey
Dr. Ran ChenUniversity of Birmingham