![]() |
![]() |
University of Birmingham > Talks@bham > Computer Science Lunch Time Talk Series > Artificial Immune Systems
Artificial Immune SystemsAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Christine Zarges. Artificial immune systems (AIS) are on one hand a class of biologically inspired algorithms which are build after different theories from immunology. They are applied in different areas of application, e.g., learning, classification, anomaly detection, and optimisation. In the area of optimisation, AIS show from an algorithmic point of view on a high level similarities to other biologically inspired algorithms, e.g. evolutionary algorithms. They constitute an interesting alternative approach to current methods. On the other hand, AIS can be used as models for the immune system in the context of computational immunology. My current research focusses on the aspect of optimisation and the theoretical analysis of common AIS . However, I am also interest in aspects of computational immunology. I will give a broad overview over different methods in the field and point out interesting current research questions. This talk is part of the Computer Science Lunch Time Talk Series series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsAnalysis seminar Computer Science Distinguished Seminar Theoretical Physics Journal Club and Group MeetingOther talksSeminar: TBA Seminar: TBA Scattering from Soft Matter: Understanding Structure from the Molecular to the Macroscopic. Seminar: TBA Spectrally selective metasurfaces based on bound states in the continuum: a versatile platform for enhanced light-matter coupling The science of the large scale heliosphere and the missions that made it possible |