Data analytics and Visualization

This special session is organized by  Prince Sultan University, KSA.

Session Chair:

  • Dr. Souad Larabi-Marie-Sainte, Prince Sultan University, Riyadh, KSA

Session Co-chair:

Session Committee


Nowadays, Data analytics and Visualization plays a central role in industries as well as academia. It covers qualitative and quantitative analysis. It is involved in various applications and domains such that Business Intelligent, Natural Language Processing, Bioinformatics, Information Security, Pattern Recognition, Voice Recognition, Internet Of Things, E-Health, E-government, and much more. Data analytics and Visualization is directly related to Data Science and Artificial Intelligence (including Machine and Deep Learning). It handles thousands of millions of data to solve real world problems. Analyzing and Visualizing data is the key aspect for finding solutions for any problem. It is becoming one aspect of our daily life.

The massive applications of Data analytics and Visualization attracted many researchers from multidisciplinary fields including Education, Transportation, Banking, finance, Insurance, etc.

This special session is dedicated to researchers and industry practitioners to explore new developments and achievements related to Data analytics and Visualization in the afore-mentioned domains.

Therefore, this special session invites authors to submit high-quality research papers on the topics which include (but are not limited to) the following:

  • Information Security
  • Bioinformatics
  • Business Intelligent
  • Education
  • Natural Language Processing
  • Speech/Pattern Recognition
  • Medical informatics
  • E-government
  • Transportation
  • Banking and Finance
  • Industrial Production
  • Telecommunications
  • Remote Sensing
  • Imaging Science
  • Environmental Sciences
  • Hardware Architecture
  • Software
  • Cybernetics
  • Optics
  • Geography

Paper Submission:

Prospective authors are invited to submit full-length papers (not exceeding 6 pages) conform to the IEEE format . All papers will be handled and processed electronically via the EDAS online submission system.

Submission implies the willingness of at least one of the authors to register and present their papers.