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Stephen L.
Smith BSc MSc PhD CEng CITP FBCS FHEA
Senior Lecturer Room: P/M103 BIBM 2014 - Workshop on Computational Intelligence
for Biomedicine and Bioinformatics |
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I am a member of the Intelligent Systems research
group in the Department of Electronics
at the University of York, UK. My research interests are centred on the study of alternative
representations for evolutionary algorithms and their application to problems
in medicine and image processing. My
theoretical studies concern a specific example of evolutionary computation
known as Cartesian genetic programming (CGP) [1-4], originally developed by Julian Miller and a
novel representation inspired by the human immune system [5]. Medical applications for these algorithms include Parkinson’s
disease [6-10], Alzheimer’s disease [11] and the detection of malignant microcalcifications in mammograms [12-13]. Recent work has led to the development of a
novel non-invasive system to aid diagnosis of Parkinson’s disease by using
commercially available peripherals such as a digitizing tablet to measure the
cardinal symptoms of tremor and bradykinesia (a
slowing of movement). Funding has enabled clinical trials to be undertaken at
Leeds General Infirmary and the Royal Liverpool University Hospitals, and a
patent protecting the technology is currently being filed. I also enjoy working on the application of rich media
technologies to cultural and heritage museum exhibits. Exploiting digital
video, sound and interaction has led to a number of projects at regional and
national museums, including the Yorkshire and Castle museums in York, the
Royal Museum of Edinburgh and the National Railway Museum, all of which use
video as an interactive media to enhance the learning experience and
facilitate knowledge transfer. Along with Stefano
Cagnoni, I co-founded MedGEC,
the GECCO Workshop on medical
applications of genetic and evolutionary computation, which is now in its
sixth year. We are also editors for a forthcoming book on the subject due for
publication in November 2010. I was recently tutorial chair for the IEEE Congress on Evolutionary Computation
(CEC2009) in Trondheim and am local organiser for the forthcoming International Conference on Evolvable Systems
(ICES2010) to be held in York, in September 2010. I am associate editor for Genetic Programming
and Evolvable Machines, the Journal of Artificial Evolution
and Applications, and a member of the editorial board for the International
Journal of Computers in Healthcare. 1. Miller, J.F. and Smith,
S.L. “Redundancy and Computational Efficiency in Cartesian Genetic
Programming,” IEEE Transactions on Evolutionary Computation, Vol. 10, No.2,
167-174, 2006. 2. Xinye
Cai, Smith, S.L. and Tyrrell,
A.M. "Positional Independence and Recombination in Cartesian Genetic
Programming,” Lecture Notes in Computer Science. Vol. 3905, 351-360, 2006. 3. Cai,
X., Smith, S.L. and Tyrrell, A.M. "Benefits of
Employing an Implicit Context Representation on Hardware Geometry of CGP,”
Lecture Notes in Computer Science. Vol. 3637, 143-154, 2005. 4. Smith, S.L., Legget, S and Tyrrell, A.M.
"An Implicit Context Representation for Evolving Image Processing
Filters”, Lecture Notes in Computer Science, Vol. 3449, 407-416, 2005. 5. Smith, S.L. and Timmis, J. "An immune network inspired evolutionary
algorithm for the diagnosis of Parkinson’s disease," BioSystems,
Vol. 94, Nos.1-2, 2008. 6. Smith, S.L. Guaghan, P., Du, Q. Aly, N. M.,
Playfer, J. R., Smith, S. L. and Halliday, D. M..
“Diagnosis of Parkinson's Disease using Evolutionary Algorithms,” Genetic
Programming and Evolvable Machines, Vol.8, 433-447, 2007. 7. Aly,
N. M., Playfer, J. R., Smith, S. L. and Halliday,
D. M., “A novel computer-based technique for the assessment of tremor in
Parkinson's disease,” Age and Ageing, Vol.36, No.4, 395-399, 2007. 8. Allen, D.P., Playfer, J.R., Aly, N.M.,. Duffey, P., A. Heald, A., Smith, S.L. and Halliday, D.M., "On the
use of low-cost computer peripherals for the assessment of motor dysfunction
in Parkinson’s disease – Quantification of bradykinesia
using target tracking tasks." IEEE Transactions on Neural Systems &
Rehabilitation Engineering. Vol.15, No.2, 286-294, 2007. 9. Allen, D.P., Halliday,
D.M., Smith, S.L., Playfer, J. & Aly, N. "A clinical diagnostic tool for the
assessment of bradykinesia in Parkinson’s disease
using low cost computer peripherals," Institute of Physics and
Engineering in Medicine, Annual Scientific Meeting, 34, 2005. 10. Smith, S.L. et. al. “The
Application of Evolutionary Algorithms towards the Diagnosis of Parkinson's
Disease,” GECCO Workshop on Medical Applications of GEC, Seattle, July, 2006. 11. Hazell,
A. and Smith, S.L. “Towards an Objective Assessment of Alzheimer's Disease:
The Application of a Novel Evolutionary Algorithm in the Analysis of Figure
Copying Tasks,” accepted for presentation at the GECCO Workshop on Medical
Applications of GEC, Atlanta, July, 2008. 12. Walker, J.A., Völk, K., Smith,
S.L. and Miller, J.F. “Parallel evolution using multi-chromosome
Cartesian genetic programming,” Genetic Programming and Evolvable Machines,
Vol.10, No.4, 2009. 13. Völk,
K., Miller, J.F. and Smith, S.L.
“Multiple Network CGP for the Classification of
Mammograms,” Lecture Notes in Computer Science, Vol. 5484, No.4, 405-413,
2009. Home | Publications
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