Dr. Michael Lones
 

Dr. Michael Lones MEng, PhD

Research Fellow

Email: mal503@ohm.york.ac.uk
Homepage: http://www-users.york.ac.uk/~mal503/
Tel: +44 (0)1904 32 2828
Fax: +44 (0)1904 32 3224
Research Area: Intelligent Systems Group > Bio-Inspired Architectures Lab

Biography

Dr. Lones received the MEng (Hons.) degree in computer systems and software engineering in 1999. He completed his PhD in evolvable biologically-motivated representations for evolutionary computation in the Department of Electronics, University of York, in 2003. In 2004, he received an ERCIM fellowship to carry out research in the bioinformatics group of the Faculty of Medicine, Norwegian University of Science and Technology (NTNU). Since 2005, he has been doing research within the Bio-Inspired Architectures laboratory of the Department of Electronics. His research interests include biologically-motivated models of computation, evolutionary algorithms, bioinformatics, and evolvability. Current research includes artificial biochemical networks and the diagnosis of cancer and brain disorders using genetic programming.

 

Professional Activities

  • Programme Chair, Information Processing in Cells and Tissues (IPCAT) 2012.
  • Co-chair, Special Session on Bioinformatics and Computational Biology, CEC 2011.
  • Publicity Chair, International Conference on Evolvable Systems (ICES) 2010.
  • Co-chair, Special Session on Computational Intelligence for Bioinformatics, WCCI 2010.
  • Chair, Special Session on Artificial Biochemical Networks, CEC 2009.
  • Organising Committee member, Information Processing in Cells and Tissues (IPCAT) 2005.
  • Member, IEEE Technical Committee on Bioinformatics and Bioengineering, 2009-present.
  • Senior Member, IEEE, 2001-present.

 

Publications

  • M. A. Lones, A. M. Tyrrell, S. Stepney and L. S. Caves, Controlling Complex Dynamics with Artificial Biochemical Networks, Proc. European Conference on Genetic Programming (EuroGP) 2010, April, 2010
  • M. A. Lones and S. L. Smith, Objective Assessment of Visuo-spatial Ability using Implicit Context Representation Cartesian Genetic Programming -Genetic and Evolutionary Computation: Medical Applications, Wiley, 2010
  • M. A. Lones, S. L. Smith, A. T. Harris, A. S. High, S. E. Fisher, D. A. Smith and J. Kirkham, Discriminating Normal and Cancerous Thyroid Cell Lines using Implicit Context Representation Cartesian Genetic Programming, World Congress on Computational Intelligence (WCCI) 2010, Barcelona, 2010
  • A.T. Harris, A. Lungari, C.J. Needham, S.L. Smith, M.A. Lones, S.E. Fisher, X. B. Yang, N. Cooper, J. Kirkham, D.A. Smith, D.P. Martin-Hirsch and A.S. High, Potential for Raman Spectroscopy to Provide Cancer Screening Using a Peripheral Blood Sample, Head & Neck Oncology, 1(34)September, 2009
  • S. L. Smith and M. A. Lones, Implicit Context Representation Cartesian Genetic Programming for the Assessment of Visuo-Spatial Ability, IEEE Congress on Evolutionary Computation 2009, Trondheim, Norway, May, 2009
  • Lones, M. A. and Tyrrell, A.M., A Co-Evolutionary Framework for Regulatory Motif Discovery, Congress on Evolutionary Computation (CEC), 3894-3901, Singapore, September, 2007
  • Lones, M.A. and Tyrrell, A.M., Regulatory Motif Discovery using a Population Clustering Evolutionary Algorithm, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 4(3):403-414, 1545-5963, July-Sept, 2007
  • Lones, M. A. and Tyrrell, A. M., The Evolutionary Computation Approach to Motif Discovery in Biological Sequences, Workshop on Biological Applications of Genetic and Evolutionary Computation (BioGEC), GECCO2005, Washington, USA, July, 2005
  • Lones, M.A. and Tyrrell, A.M., Modelling biological evolvability: implicit context and variation filtering in enzyme genetic programming, BioSystems, 76(1):229-238, 0303-2647, September, 2004
  • Lones, M. A. and Tyrrell, A.M., Enzyme Genetic Programming -Cellular Computing, edited by M Amos, Oxford University Press, 0-19-515539-4, 2004
  • M. A. Lones and A. M. Tyrrell, Evolvability: From Biology to Genetic Programming, Proc. EPSRC Symposium on Evolvability and Individuality, St. Albans, September, 2002
  • Lones, M.A. and Tyrrell, A.M., Biomimetic Representation with Enzyme Genetic Programming, Journal of Genetic Programming and Evolvable Machine, 3(2):193-217, 1389-2576, June, 2002
  • Lones, M. A. and Tyrrell, A.M., Crossover and Bloat in the Functionality Model of Enzyme Genetic Programming, Congress on Evolutionary Computation (CEC) 2002, 986-992, Hawaii, May, 2002
  • Lones, M. A. and Tyrrell, A.M., Pathways into Genetic Programming, Genetic and Evolutionary Computation Conference (GECCO) 2001, 425-428, San Francisco, July, 2001
  • Lones, M. A. and Tyrrell, A.M., Biomimetic Representation in Genetic Programming, Genetic and Evolutionary Computation Conference (GECCO) 2001, 199-204, San Francisco, July, 2001
  • Lones, M. A. and Tyrrell, A.M., Enzyme Genetic Programming, Congress on Evolutionary Computation (CEC) 2001, 1183-1190, Seoul, Korea, May, 2001

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