International Conference On Intelligent Computing
Wuhan,China August 15-18, 2018

ICIC 2018 Workshop

2018 International Conference on Intelligent Computing
August 15-18 ,2018

The purpose of workshops at ICIC 2018 is to provide a comprehensive forum on topics that will not be fully explored during the main conference and to encourage in-depth discussions of future technical and application issues in Intelligent Computing Community. The workshop will also provide a platform for researchers of Intelligent Computing Community to set an agenda and lay the foundation for future development in Intelligent Computing Community.

All the authors for each Workshop must follow the guidelines in CALL FOR PAPERS to prepare your submitted papers.

Proposals for Workshop should be submitted in ELECTRONIC FORMAT to Workshop Chair:

Valeriya Gribova
Far Eastern Branch of Russian Academy of Sciences, Russia

Laurent Heutte
Université de Rouen, France

Xin Xu
Wuhan University of Science and Technology, China

1. Workshop on Data Science and The Internet of Everything (IoE)

Prof. Dhiya Al-Jumeily
Faculty of Engineering and Technology, Liverpool John Moores University, Liverpool, UK

Dr. Abir Hussain
Faculty of Engineering and Technology, Liverpool John Moores University, Liverpool, UK

Prof. Jamila Mustafina
Kazan Federal University, Kazan, Russia

Miss Jade Hind
Faculty of Engineering and Technology, Liverpool John Moores University, Liverpool, UK

Prof. Hissam Tawfik
Leeds Beckett University, Leeds, UK

Dr. Ahmed J.Aliaaf
Computer centre,University of Anbar-Ramadi,Anbar, Iraq

Liverpool John Moores University, UK
University of Anbar, Iraq
Leeds Beckett University, UK
Kazan Federal University, Russia
Tongji University, China

In recognition of the escalating importance and relevance of examining the processes and results associated with obtaining and managing data, as well as scrubbing, exploring, modelling, interpreting, communicating and visualising data across all research domains, including health, education, environment, medicine, security, science, technology, Business, the humanities and the arts, we want to encourage scientific effort in the area of Data Science and Internet of Everything (IoE).

Data Science and Internet of Everything (IoE) are research areas jointly aligned to benefit the research community and society. IoE creates a voluminous amount of data (Big Data) which can be captured and analysed using a range of AI tools and techniques. This special session will allow researchers to communicate their high quality, original ideas by presenting and publishing new advances in all fields of Data Science and its applications, especially those oriented to solve pertinent problems that involve practical applications of data science.

The world is evolving within the fourth industrial revolution, affecting and changing the way we live, work and communicate with each other through technological aids. Our Data Science and Internet of Everything (IoE) workshop aims to provide a venue for researchers and practitioners interested in strategies, practices and tools, exchanging new theoretical and experimental design, best practices and applications to real-life situations and reviews about new opportunities and frameworks for AI Applications and Data Analytics.

This special session encourages contributions that deal with all aspects of the scientific foundations, techniques and applications of computing, data and analytics, including but not limited to:

  • Advances in Applications of AI
  • Artificial neural networks
  • Bio-informatics, Health Informatics and bio-computing
  • Computational intelligence
  • Methods and applications for computational intelligence-based theories
  • Decision support systems
  • Data mining, Machine learning and Expert systems
  • Genetic algorithms
  • Image processing and Medical imaging
  • Applied Intelligent systems
  • Novel data processing and analytics, tools and systems
  • Big data, mining and management
  • Big data storage, processing, sharing and visualisation
  • Big data systems, tools, theory and applications
  • Machine learning, web-based decision making
  • Big Data Algorithms
  • Deep Learning methods and techniques
  • Machine Learning on Large Data Sets & Massive Processing
  • Biomedical Intelligence & Clinical Data Analysis