Main Teaching subjects and course leadership
• Degree Scheme in Computing Level II Operating Systems
• Degree Scheme in Computing Level III Neural Networks & Genetic Algorithms
• BTEC Scheme in Computing Computer Systems Architecture
• Masters Scheme in Computing Computer Systems Architecture
• 1976 – 1978 Development Engineer Marconi Space and Defence
• 1978 – 1982 Design Engineer, Ferranti Computer Systems Ltd
• 1982 – 1989 Lecturer, Brunel Technical College
• 1989 – Lecturer/ Senior Lecturer, University of Glamorgan
• Foundation Year Tutor
Papers Presented at Meetings
L Boddy and C W Morris, Petri Nets: A Potentially Useful Modelling Tool for Biology, Binary Volume 2, pp 27-32.
L Boddy, C W Morris and J W T Wimpenny, “Introduction to Neural Networks”, Binary Vol 2, pp 179-185.
L Boddy and C W Morris, “An Investigation into the Feasibility of Using Neural Networks to Describe a Simple Wood Decay Data Set”, Binary Vol 3, pp 61-64.
R G Bolton, C W Morris and L Boddy, “Non-Destructive Quantification of Growth and Regression of Mycelial Cords Using Image Analysis”, Binary Vol 3, pp 127-132.
C W Morris, L Boddy and R Allman, ‘Identification of Basidiomycete Spores by Neural Network Analysis of Flow Cytometry Data, Mycological Research 96, pp 697-701.
C W Morris and L Boddy, ‘Intelligent Computing in Microbiology, Society for General Microbiology Quarterly, 19(3). Reprinted in Binary 1993 in extended form.
L Boddy and C W Morris, ‘Neural Network Analysis of Flow Cytometry Data, In: Flow Cytometry in Microbiology, (ed D Lloyd) Springer-Verlag, pp 159-169.
L Boddy and C W Morris, “Analysis of the Flow Cytometry Data – A Neural Network Approach”, Binary 5, pp 17-22, 1993.
C W Morris and L Boddy, “Some Neural Network Packages – A Comparative Review”, Binary 5, pp 7-9, 1993.
M F Wilkins, C W Morris and L Boddy, “A Review of Two Professional Neural Network Development Packages – Neuralworks and Autonet Workbench”,Binary 5, pp 79-81, 1993.
P D Bridge, L Boddy and C W Morris, “Information Resources for Pest Identification –An Overview of Computer Aided Approaches”, In: Identification and Characterisation of Pest Organisms, eds. D L Hawksworth, CAB International (in press), 1994.
L Boddy, C W Morris, M Wilkins, G, and P Burkhill, (1994) " Neural Network Analysis of Flow Cytometry Data for 40 Marine Phytoplankton Species", In: Cytometry 15 pp 283-293
M Wilkins, C W Morris and L Boddy, (1994)" A Comparison of Radial Basis Function And Backpropagation Neural Networks for Identification of Marine Phytoplankton from Multivariate Flow Cytometry Data", in: CABIOS 10 (3) pp 285-294
M Wilkins, C W Morris and L Boddy (1994) “Kohonen Maps and Learning Vector Quantization Neural Networks for Analysis of Multivariate Biological Data”, in:Binary 6 pp 64-72
L Boddy and C W Morris (1994), “The Potential of Artificial Neural Networks in Environmental Research” in NERC News, January 1994, pp 19-21 (invited article)
C W Morris and L Boddy, (1995) “Artificial neural networks in identification and systematics of eukaryotic micro-organisms.” Binary 7, 70-76. (invited contribution to Workshop on the Future of Numerical Taxonomy at Helsinki)
Papers Presented at Meetings
L Boddy and C W Morris, ‘Neural Network Analysis of Flow Cytometry Data’, Flow Cytometry in Microbiology, Cardiff, 1991 (Invited Paper).
L Boddy and C W Morris, ‘Analysis of Flow Cytometry Data – A Neural Network Approach’, in Society for General Microbiology Conference, Dublin, 1992 (Invited Paper).
C W Morris and L Boddy, ‘Intelligent Computing in Microbiology’, in Society for General Microbiology Conference, Dublin, 1992 (Invited Paper).
P D Bridge, L Boddy and C W Morris, ‘Information Resources for Pest Identification – Computer-Aided Approaches’, IPCO, International Mycological Institute, Egham, 1993.
L Boddy, C W Morris, M Wilkins and R Jonker, ‘A Comparison of Neural Network Paradigms for Identification of Phytoplankton from Flow Cytometry Data’, Royal Microscopical Society Conference on Flow Cytometry, Duffryn House, Cardiff, 1993. (Abstract to be published in Proc. Royal Microscopical Society)
L Boddy, M Wilkins, C W Morris, G Tarran, P Burkhill and R Jonker, ’Techniques for Neural Network Identification of Phytoplankton for the EUROPA Flow Cytometer. Proceedings of OCEANS ’94 OSATES Conference.
L Boddy, C W Morris, A M Gimblett and E J M Mordue, (1994). ‘Neural Network Analysis of Fungal Spore Morphometric Data for Identification of Species in the Genus Pestalotiopsis’, Intelligent Engineering Systems Through Artificial Neural Networks, Vol 4 (ed. Dagli, Fernandez, Ghosh & Kumara) ASME Press
C W Morris, L Boddy and M F Wilkins (1994) ’Approaches to Applying Neural Networks to the Identification of Phytoplankton Taxa from Flow Cytometry data. In: Intelligent Engineering Systems Through Artificial Neural Networks, Vol 4 (ed. Dagli, Fernandez, Ghosh & Kumara) ASME Press
M Lloyd-Williams, J Jenkins, H Howden-Leach, M Marthur, M, C Morris, I Cooke (1994) ’The Potential for Artificial Neural Network Application to BFS Infertility Practice Classification Information. (Presented at the British Fertility Society Workshop on Measuring the Effectiveness of Infertility Treatment at the Leeds General Infirmary, December 1994)
N Ford, M Lloyd-Williams, C Morris, (1995) ‘Intelligent Adaptive Systems for Information Delivery in the Electronic Library.’ Proceedings of the 2nd International Conference on Electronic Library and Visual Information Research, De Montfort University
P Bath, M Lloyd-Williams, C Morris, (1995) ‘Neural Network Classification of European Countries According to the WHO Health for All Database.’ In M Lloyd-Williams (ed) SHIMR95: Proceedings of the First International Symposium on Health Information Management Research, pp 182-189, Sheffield, April 1995
P Bath, M Lloyd-Williams, C Morris (1995) ‘A Taxonomy of European Mortality Patterns using Neural Networks.’ To be presented at the 3rd European Conference on Gerontology, Amsterdam, August 1995
External / Professional Representation
• Invited lecturer at EC funded workshop on Flow Cytometry, University of Plymouth, July 16-29 1995.
• Local Area Network Considerations, Miles UK Ltd
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