Jamal R. Al-Enezi
Email: Jamal.Al-Enezi@brunal.ac.uk
PhD Supervisor: Dr. Maysam Abbod
Research Area: Artificial Intelligence
Academic Qualification:
- Bachelor of Science in Computer Engineering (1996), College of Engineering & Petroleum, Kuwait University.
- Master of Science in Computer Engineering (2001), College of Engineering & Petroleum, Kuwait University.
Research Interests: Artificial Immune Systems, Danger Theory, Neural Networks, Fuzzy Logic
PhD Research:
Inspired by biological immune systems, Artificial Immune Systems have emerged during the last decade. They are incited by many researchers to design and build immune-based models for a variety of application domains. Artificial Immune Systems (AIS) can be defined as computational paradigms that belong to the computational intelligence family and are inspired by the biological immune system. The main objectives of our research are to provide an overview of the Artificial Immune Systems field including a theoretical background on the main ideas and concepts of AIS and the recent advances in the literature. Secondly, to build an ensemble model integrating different artificial immune systems techniques to overcome individual limitations and to achieve synergetic effects through the combination of these algorithms. Our focus is to build an ensemble model integrating different Artificial Immune Systems techniques (i.e. Artificial Immune Networks, Clonal Selection, and Negative Selection) for classification applications.
Publication
Journal Publications:
- J.R. Al-Enezi, M.F. Abbod and S. Al-Sharhan, “Artificial Immune Systems – Models, Algorithms and Applications”, International Journal of Research and Reviews in Applied Sciences, Volume 3, Issue 2, May 2010.
Conference Publications:
- J.R. Al-Enezi, M.F. Abbod and Salah Al-Sharhan, “Advancement in Artificial Immune Systems: A perspective of Models, Algorithms and Applications”, The 5th IEEE-GCC Conference, March 2009, Kuwait.
