IEEE Symposium on

Immune Computation

The 2018 IEEE Symposium on Immune Computation (IEEE IComputation 2018) is a part of the IEEE Symposium Series of Computational Intelligence (IEEE SSCI 2018).

The manuscripts should be submitted in PDF format. Click Here to know further guidelines for submission.

Click Here to download the call for paper of this Symposium.

Immune Computation is a fast developing research area in the computational intelligence community, inspired by the information processing mechanism of biological immune system. Many of these algorithms are built on solid theoretical foundations, through understanding mathematical models and computational simulation of aspects of the immune system. The scope of this research area ranges from modeling to simulation of the immune system, to the development of novel engineering solutions to complex problems, and bridges several disciplines to provide new insights into immunology, computer science, mathematics and engineering.

The aims of this symposium are:
  •    to present the state-of-the-art research on immune computation;
  •    to provide a forum to disseminate their recent advances and views on future perspectives in the field;
  •    to offer new conceptual models for understanding the dynamics that underlie the immune system
  •     to provide a unique event where computer scientists, engineers, immunologists, biologists, physicists, etc., may compare to each other their expertises in an interdisciplinary vision.


The topics of IEEE IComputation 2018 include two aspects. First, contributions on immune algorithms and applications are very welcome. Second, contributions on modeling biological immune systems are also welcome, but potential uses for developing computationally intelligent systems should be clearly stated.Topics of interest include, but are not limited to:

Immune algorithms and applications:

  •    Immune-based security techniques
  •    Immune-based privacy protection schemes
  •    Negative/positive selection algorithms
  •    Clonal selection algorithms
  •    Immune network algorithms
  •    Dendritic cell algorithms
  •    Negative databases and applications
  •    Negative surveys and applications
  •    Theoretical aspects of immune inspired algorithms
  •    Immune algorithms for optimization
  •    Immune algorithms for pattern recognition
  •    Immune algorithms for robotics and control
  •    Immune algorithms for fault diagnosis
  •    Immune-based data mining techniques
  •    Novel algorithms and new immune operators
  •    Benchmarking immune inspired algorithms against other techniques
  •    Empirical and theoretical investigations into performance and complexity of immune inspired algorithms
  •    Hybridization of immune inspired algorithms with other techniques

Modeling of biological immune system:

  •     Modeling of immune learning and memory
  •    Modeling of immune system response
  •    Modeling of immune cells and antibodies
  •    Modeling of viruses or cancers
  •    Immune network models
  •    Self/nonself models
  •    Systems & synthetic immunology
  •    Cellular immunology
  •    Vaccine design
  •    Immune medicine
  •    Chemistry immunology
  •    Multi-agent based models of immunity
  •    Security modeling of biological immune system
  •    Computer simulations ofbiological immune system

Symposium Chairs

Soumya Banerjee
Mathematical Institute
University of Oxford, Oxford, United Kingdom

Licheng Jiao
School of Electronic Engineering
Xidian University, Xi'an, China

Wenjian Luo
School of Computer Science and Technology
University of Science and Technology of China

Pierre Parrend
ECAM Strasbourg-Europe/University of Strasbourg, France

Mario Pavone
Department of Mathematics and Computer Science
University of Catania, Italy

Program Committee

(To be Announced)