Artificial Immune Systems

Welcome to the IEEE Computer Society Task Force on Artificial Immune Systems

Chair:
Dr. Dipankar Dasgupta
Professor Of Computer Science
The University of Memphis
Email: dasgupta@memphis.edu
Phone: (901) 678-4147
Fax: (901) 678-2480

The biological immune system is a highly parallel and distributed adaptive system. It uses learning, memory, and associative retrieval to solve recognition and classification tasks. In particular, it learns to recognize relevant patterns, remember patterns that have been seen previously, and use combinatorics to construct pattern detectors efficiently. These remarkable information-processing abilities of the immune system provide important aspects in the field of computation. This emerging field is sometime refer to as the Immunological Computation, Immunocomputing or Artificial Immune Systems (AIS). Although it is still relatively new, AIS, having a strong relationship with other biology-inspired computing models and computational biology, is establishing its uniqueness and effectiveness through zealous effort of researchers around the world.

The Working Group on Artificial Immune Systems will promote the research and applications of AIS and explore possibilities in launching a new journal in the field.

AIS Working Group:

• Dr. Leandro Nunes de Castro, State University of Campinas, Brazil.
• Dr. K. KrishnaKumar, NASA, Ames Research Center, USA.
• Dr. Fernando L. Nino, National University of Colombia, Colombia.
• Dr. Alexander Tarakanov, St. Petersburg Institute for Informatics, Russia.
• Dr. Jonathan Timmis, University of Kent at Canterbury, England.
• Dr. Gary B Lamont, Air Force Institute of Technology, USA.
• Dr. Olfa Nasraoui, University of Louisville, USA.
• Dr. Giuseppe Nicosia, University of Catania, Italy.
• Dr. Fabio A. Gonzalez, National University of Colombia, Colombia.
• Dr. Simon Garrett, University of Wales, UK.
• Dr. Uwe Aickelin, University of Nottingham, UK.