Dr Qun Song

Senior Research Engineer, SSG Electrical & Electronic Engineering Ltd, Australia

Contact details

Email:qsong2006@gmail.com

Key Research Interests

  • Data mining 
  • Artificial intelligence
  • Fuzzy systems
  • Intelligent control

Key Publications

 

  • L. Huang, Q. Song and N. Kasabov, Evolving connectionist system based role allocation for robotic soccer, Int. J. Advanced Robotic Systems, Vol. 5, Number 1, March 2008, 59 – 62.
  • Q. Song and N.Kasabov, TWNFI – Transductive Neuro-Fuzzy Inference System with Weighted Data Normalization for Personalized Modelling, Neural Networks, 19 (2006) 1591 – 1596.
  • Q. Song, N. Kasabov, T. Ma and M. Marshall, Integrating regression formulas and kernel functions into locally adaptive knowledge-based networks: a case study on renal function evaluation, Artificial Intelligence In Medicine, (2006) 36, 235 – 244.
  • Q. Song and N.Kasabov, NFI: A Neuro-Fuzzy Inference Method for Transductive Reasoning , IEEE Trans. on Fuzzy Systems, Vol. 13, No. 6, December 2005, 799 – 808.
  • M.Marshall, Q.Song, M.Ma, S.Macdonell and N.Kasabov, Evolving Connectionist Systems versus Algebraic Formulae for Prediction of Renal Function from Serum Creatinine , Kidney International, Vol. 67(2005), 1944 – 1954.
  • T. Cohen, D.Hegg, Mde Michele, Q.Song, and N. Kasabov, An intelligent controller for automated operation of sequencing batch reactors, Water Science & Technology, IWA Publishing, Vol 47, No 12 (2003) 57–63.
  • Kasabov, N., Song, Q., "DENFIS: Dynamic Evolving Neural-Fuzzy Inference System and its Application", IEEE Trans. on Fuzzy Systems, Vol. 10, No. 2, April, 2002, 144 - 154.