Professor George Coghill

Professor George Coghill The University of Aberdeen School of Natural & Computing Sciences Professor George Coghill Chair in Computing Science work +44 (0)1224 273829  

Chair in Computing Science & Head of Department

B.Sc.(Eng), M.Sc.(Med. Sci.), Ph.D., C.Eng., FIET, FRSA

Professor George Coghill

Personal Details

Telephone: +44 (0)1224 273829
Email: g.coghill@abdn.ac.uk
Personal website:  
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Publications

Contributions to Journals

Articles

  • Pang, W. & Coghill, GM. (2011). 'An immune-inspired approach to qualitative system identification of biological pathways'. Natural Computing, vol 10, no. 1, pp. 189-207.
    [Online] DOI: 10.1007/s11047-010-9212-2
  • You, T., Stansfield, I., Romano, MC., Brown, AJP. & Coghill, GM. (2011). 'Analysing GCN4 Translational Control in Yeast by Stochastic Chemical Kinetics Modelling and Simulation'. BMC Systems Biology, vol 5, pp. 131.
    [Online] DOI: 10.1186/1752-0509-5-131
    [Online] AURA: You_et_al_Analysing_GCN4_translational_control_2011.pdf
  • Coghill, GM., Liu, H., Wisley, C. & Bruce, A. (2011). 'Fuzzy qualitative reasoning about dynamic systems containing trigonometric relations'. International Journal of Uncertainty, Fuzziness & Knowledge Based Systems, vol 19, no. 3, pp. 477-498.
    [Online] DOI: 10.1142/S021848851100709X
  • Pang, W. & Coghill, GM. (2010). 'Learning Qualitative Differential Equation models: a survey of algorithms and applications'. Knowledge Engineering Review, vol 25, no. 1, pp. 69-107.
    [Online] DOI: 10.1017/S0269888909990348
  • You, T., Coghill, GM. & Brown, AJP. (2010). 'A quantitative model for mRNA translation in Sacchromyces cerevisiae'. Yeast, vol 27, no. 10, pp. 785-800.
    [Online] DOI: 10.1002/yea.1770
  • Liu, H., Coghill, GM. & Barnes, D. (2009). 'Fuzzy qualitative trigonometry'. International Journal of Approximate Reasoning, vol 51, no. 1, pp. 71-88.
    [Online] DOI: 10.1016/j.ijar.2009.07.003
  • Coghill, GM. & Wu, G. (2009). 'Incremental model-based diagnosis'. Advanced Engineering Informatics, vol 23, pp. 309-322.
    [Online] DOI: 10.1016/j.aei.2009.03.003
  • Coghill, GM. (2009). 'Fuzzy qualitative behaviour selection'. International Journal of Computational Intelligence Research, vol 4, no. 4, pp. 342-356.
  • Liu, H., Brown, DJ. & Coghill, GM. (2008). 'Fuzzy qualitative robot kinematics'. IEEE Transactions on Fuzzy Systems: a Publication of the IEEE Neural Networks Council, vol 16, no. 3, pp. 808-822.
    [Online] DOI: 10.1109/TFUZZ.2007.905922
  • Coghill, GM., Srinivasan, A. & King, R. (2008). 'Qualitative system identification from imperfect data'. Journal of Artificial Intelligence Research, vol 32, pp. 825-877.
    [Online] DOI: 10.1613/jair.2374
  • Liu, H., Coghill, GM. & Brown, DJ. (2007). 'Qualitative kinematics of planar robots: Intelligent connection'. International Journal of Approximate Reasoning, vol 46, no. 3, pp. 525-541.
    [Online] DOI: 10.1016/j.ijar.2007.02.001
  • Price, CJ., Trave-Massuyes, L., Milne, R., Ironi, L., Forbus, K., Bredeweg, B., Lee, MH., Struss, P., Snooke, N., Lucas, P., Cavazza, M. & Coghill, GM. (2006). 'Qualitative futures'. Knowledge Engineering Review, vol 21, no. 4, pp. 317-334.
    [Online] DOI: 10.1017/S0269888906200097X
  • Liu, HH. & Coghill, GM. (2005). 'A model-based approach to robot fault diagnosis'. Knowledge-Based Systems, vol 18, no. 4-5, pp. 225-233.
    [Online] DOI: 10.1016/j.knosys.2004.10.004
  • King, RD., Garrett, SM. & Coghill, GM. (2005). 'On the use of qualitative reasoning to simulate and identify metabolic pathways'. Bioinformatics, vol 21, pp. 2017-2026.
    [Online] DOI: 10.1093/bioinformatics/bti255
  • Liu, H., Coghill, GM. & Xu, HY. (2005). 'Qualitative modelling of kinematic robots for fault diagnosis'. International Journal of Production Research, vol 43, no. 11, pp. 2277-2290.
    [Online] DOI: 10.1080/00207540500032129
  • Coghill, GM. (2004). 'Towards model-based methods for model-based systems'. International Journal of General Systems, vol 33, pp. 485-504.
    [Online] DOI: 10.1080/0308107042000202236
  • Coghill, GM. & Shen, Q. (2001). 'On the specification of multiple models for diagnosis of dynamic systems'. AI Communications, vol 14, no. 2, pp. 93-104.

Editorials

  • Chan, C., Liu, H. & Coghill, GM. (2011). 'Recent Advances in Fuzzy Qualitative Reasoning'. International Journal of Uncertainty, Fuzziness & Knowledge Based Systems, vol 19, no. 3, pp. 417-422.
    [Online] DOI: 10.1142/S0218488511007064

Chapters in Books, Reports and Conference Proceedings

Chapters

  • Garrett, SM., Coghill, GM., Srinivasan, A. & King, RD. (2007). 'Learning Qualitative Models of Physical and Biological Systems'. in S Džeroski & L Todorovski (eds), Computational Discovery of Scientific Knowledge: Introduction, Techniques, and Applications in Environmental and Life Sciences Lecture Notes in Computer Science, Springer, Berlin, pp. 248-272.

Conference Proceedings

  • Coghill, GM. & Al-Ballaa, H. (2011). 'Diagnosis via qualitative parameter estimation'. Proceedings of the 11th UK Workshop on Computational Intelligence (UKCI) Manchester, 11th UK Workshop on Computational Intelligence, Manchester, United Kingdom, 7/09/11.
  • Pang, W. & Coghill, GM. (2011). 'A fast opt-AINet approach to qualitative model learning with a modified mutation operator'. Proceedings of the 11th UK Workshop on Computational Intelligence (UKCI) University of Manchester, 11th UK Workshop on Computational Intelligence, Manchester, United Kingdom, 7/09/11.
  • Gerrard, C., McCall, J., Coghill, GM. & Macleod, C. (2011). 'Artificial reaction networks'. Proceedings of the 11th UK Workshop on Computational Intelligence University of Manchester, 11th UK Workshop on Computational Intelligence, Manchester, United Kingdom, 7/09/11.
  • Pang, W. & Coghill, GM. (2010). 'QML-AiNet: An Immune-inspired Network Approach to Qualitative Model Learning'. in E Hart, C McEwan, J Timmis & A Hone (eds), proc. of 8th International Conference on Artificial Immune Systems (ICARIS 2010) Lecture Notes in Computer Science, vol. 6209, Springer-Verlag, Berlin Heidelberg, pp. 223-236.
    [Online] DOI: 10.1007/978-3-642-14547-6_18
  • Pang, W. & Coghill, GM. (2010). 'Learning Qualitative Metabolic Models Using Evolutionary Methods'. 2010 Fifth International Conference on Frontier of Computer Science and Technology IEEE Computer Society, Changchun, Jilin Province, pp. 436-441, Fifth International Conference on Frontier of Computer Science and Technology (FCST), 2010, Changchun, Jilin Province, China, 18/08/10.
    [Online] DOI: 10.1109/FCST.2010.57
  • Matheson, DE., Sripada, GS. & Coghill, GM. (2010). 'Moving from data to text using causal statements in explanatory narratives'. Proceedings of the 10th UK Workshop on Computational Intelligence (UKCI) IEEE Explore, Proceedings of the 10th UK Workshop on Computational Intelligence (UKCI), Essex, United Kingdom, 8/09/10.
  • Pang, W. & Coghill, GM. (2009). 'An Immune-inspired Approach to Qualitative System Identification of the Detoxification Pathway of Methylglyoxal'. Lecture Notes in Computer Science vol. 5666, Springer, pp. 151-164.
    [Online] DOI: 10.1007/978-3-642-03246-2
  • Pang, W. & Coghill, GM. (2008). 'Learning qualitative models of the detoxification pathway of methylglyoxal'. the 8th annual UK Workshop on Computational Intelligence De Montford University, UK, pp. CD.
  • Pang, W. & Coghill, GM. (2007). 'Modified clonal selection algorithm for learning qualitative compartmental models of metabolic systems'. Proceedings of the 2007 GECCO conference companion on Genetic and evolutionary computation ACM Press, pp. 2887-2894.
    [Online] DOI: 10.1145/1274000.1274049
  • Coghill, GM. (2007). 'Fuzzy qualitative behaviour prioritisation'. Proceedings of the IEEE Conference on Fuzzy Systems (Fuzz-IEEE) Imperial College, London, pp. 1-6.
  • Pang, W. & Coghill, GM. (2007). 'Advanced experiments for learning qualitative compartment models'. Proceeding of the 21st International Workshop on Qualitative Reasoning Aberystwyth, UK, pp. 109-117, Proceeding of the 21st International Workshop on Qualitative Reasoning, Aberystwyth, United Kingdom, 26/06/07.
  • Coghill, GM., Garrett, SM. & King, RD. (2004). 'Learning Qualitative Metabolic Models'. in R Lopez de Mantaras (ed.), 16th European conference on Artificial Intelligence IOS Press, pp. 445-449, 16th European conference on Artificial Intelligence, Valencia, Spain, 22/08/04.

Contributions to Conferences

Papers

  • You, T., Coghill, GM. & Brown, AJP. (2007). 'A quantitative model for the translational control of GCN4 in yeast'. Paper presented at Foundations of Systems Biology in Engineering, Stuttgart, Germany, 9/09/07,.

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