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Michael Lones |
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My research interests are centred upon evolutionary algorithms and other forms of biologically motivated computation. Below are the research projects that I am, or have been, involved with. If you have questions about my research, please don't hesitate to contact me.
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Artificial Biochemical Networks: Computational Models and Architectures
This EPSRC research project is concerned with novel computational architectures motivated by the structure and organisation of biochemical networks. Biochemical networks are one of the most complex sets of structures found in biological systems. These structures are fundamental to the development, function and evolution of biological organisms, and are the main factor underlying the complexity seen within higher organisms. This work aims to promote the development and understanding of artificial biochemical network models and show how how they may be applied to complex real world computational tasks.
More about this research...
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Evolutionary Computation in Biomedical Engineering
Dr. Stephen Smith and I are looking at how evolutionary approaches can be used for automated biomedical diagnosis, particularly of neurological diseases and cancer. We are working closely with Leeds General Infirmary, the Royal Liverpool University Hospitals, and Leeds Dental Institute.
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Evolutionary Computation for Biosequence Understanding
I am interested in how evolutionary algorithms can be applied to various problems in biosequence understanding. In particular, I have worked on the problem of regulatory motif discovery, looking at how evolutionary computing techniques can be used to identify promoter elements conserved across groups of co-expressed genes.
More about this research...
Visit my bibliography of biosequence applications of evolutionary algorithms...
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Implicit Context Representation
My PhD research was concerned with implicit context representation for genetic programming - a position-independent program representation in which program components self-organise using behavioural descriptions. More recently, this work has been used to develop an implicit context form of Cartesian genetic programming.
More about this research...
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nEUro-IT.net Research Directory
I have also been involved with the EU-funded Neuro-IT Network of Excellence. We maintain the Neuro-IT research directory at York.
Visit the nEUro-IT.net Research Directory...
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