Special Session on

“Data Analytics and Computation Intelligence for Internet of Everything”


Mukesh Prasad, Omprakash Kaiwartya, Deepak Puthal, Danilo Pelusi, Kusum Deep, Hesham Elsayed

Aims and Scope:

Data Analytics and Computation Intelligence (DACI) 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.

The DACI techniques are also widely used in Internet of Everything (IoE) 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 DACI 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.


The main topics of this special session include, but are not limited to, the following:

· Data Analytics middleware for Edge computing

· Cloud/Fog based intelligent analytics

· Edge-node driven data analytics

· Intelligent data synchronization and updating between Edge, Fog and Cloud Datacentres

· Data metering for Edge, Fog and Cloud Datacentres

· Intelligent pricing mechanisms for Edge, Fog and Cloud Datacentres

· Data-driven privacy and security solutions in Edge, Fog and Cloud computing

· Case studies for data analytics in Edge, Fog and Cloud Datacentres

· Addressing Security, Privacy and Trust in Edge, Fog and Cloud Datacentres

· Vehicular Fog Computing for Smart Cities

· AI enabled Big Data for Edge, Fog and Cloud Computing

Special Session Organizers:

Dr. Mukesh Prasad (Mukesh.Prasad@uts.edu.au)

University of Technology Sydney, Australia

Dr. Omprakash Kaiwartya (omprakash.kaiwartya@ntu.ac.uk)

Nottingham Trent University, United Kingdom

Dr. Deepak Puthal (Deepak.Puthal@ncl.ac.uk)

Newcastle University, United Kingdom

Dr. Danilo Pelusi (dpelusi@unite.it)

Faculty of Communication Sciences, University of Teramo, Italy

Prof. Kusum Deep (kusumdeep@gmail.com)

Indian Institute of Technology, Roorkee, India

Dr. Hesham Elsayed (helsayed@uaeu.ac.ae)

United Arab Emirates University, UAE

Important Dates:

Paper submission due: 30th Jan. 2020

Notification of acceptance: 15th Mar. 2020

Camera-ready deadline: 15th Apr. 2020

Author registration deadline: 15th Apr. 2020

Information about IEEE WCCI 2020: https://wcci2020.org/

We look forward to receiving your high-quality submissions!!