IComputation 2017 - 2017 IEEE Symposium on Immune Computation (IEEE IComputation' 17)

2017 IEEE Symposium on Immune Computation (IEEE IComputation 2017) is a part of the IEEE Symposium Series of Computational Intelligence (IEEE SSCI 2017).
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: (1) to present the state-of-the-art research on immune computation; (2) to provide a forum to disseminate their recent advances and views on future perspectives in the field; (3) to offer new conceptual models for understanding the dynamics that underlie the immune system, and (4) to provide a unique event where computer scientists, engineers, immunologists, biologists, physicists, etc., may compare to each other their expertises in an interdisciplinary vision.
Topics
The topics of IEEE IComputation 2017 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 of biological immune system