Important Deadlines

Full Paper Submission

July 1, 2020 [FIRM DEADLINE]

Acceptance Notification

July 30, 2020

Camera Ready Papers Due

August 25, 2020

Paper Registration Due

August 25, 2020

Conference Duration

3 - 5 November, 2020

Publication & Indexing

Accepted papers will be submitted for inclusion into IEEE Xplore.


Disastrous epidemics and pandemics such as SARS, H1N1, COVID-19 can significantly impact people’s life. During an outbreak of an epidemic, health authorities face many complicated problems which are of vital importance in ensuring the spread of the disease. Predictive modeling and Reliable forecasts of emerging infectious diseases may be useful for public health agencies that prepare strategies to minimize or eliminate spread of diseases. A detailed analysis of this data will help to predict the early diseases and enhance patient care through the growth of big data in healthcare and biomedicine to forecast a disease outbreak and to control it.

Scope and Topics

Smart models for disease prediction, whether it involves developing a model to assist or even prevent its spread worldwide in a specific region, increase every day. The aim of this special session is to provide an opportunity for international researchers to share and review recent advances in the modeling, forecasting and applications of epidemic and pandemic diseases. The special session aims to solicit original, full length original articles on new findings and developments from researchers, academicians and practitioners from industries, in the area of modeling, control, artificial intelligence, biomedicine and machine learning.

The Topics

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

  • Corona Virus (COVID-19) spread prevention
  • Data analytics of COVID-19 and other epidemics
  • Visualization of Epidemic and Pandemic Outbreak
  • Advanced Modeling and Control
  • Artificial intelligence
  • Biomedical systems
  • Biologically-inspired Algorithms
  • Compartmental models in epidemiology
  • Expert systems
  • Hybrid Systems
  • Intelligent systems
  • Internet of Things
  • Machine learning
  • Mathematical modeling of epidemic and pandemic diseases