Institute of High Performance Computing

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People: Vibrant & Dynamic Culture

People

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Computing Science (CS)

Dr. LEE Kee Khoon Gary

Dr. LEE Kee Khoon Gary


Research Interests:

  • Application of Artificial Intelligence in multi-disciplinary problems
  • Machine Learning
  • Data Mining
  • Bioinformatics

Qualifications:

  • Senior Research Associate, University of East Anglia (UK), 2002 - 2005
  • PhD, Computer Sciences, University of Southampton (UK), 1998 -2002
  • MPhil, Control Engineering, University of Sheffield (UK), 1996 -1998
  • BEng. (Hon), Control Engineering, University of Sheffield (UK), 1993 -1995
  • Dip, Mechanical Engineering, Ngee Ann Polytechnic, 1988 -1991

Published Journals/ Articles:

Journals

    • Yunhai Li, Kee Khoon Lee, Caroline Smith, Sean Walsh, Karim Soretan, Gavin Cawley and Michael W Bevan. Establishing Glucose- and ABA- regulated Transcription Networks in Arabidopsis by Microarray Analysis & Promoter Classification using a Relevance Vector Machine. Genome Research January 2006, 10.1101/gr.4237406.
    • Kee Khoon Lee, Gavin Cawley and Michael Bevan, Sparse Bayesian promoter based gene classification. European Symposium on Artificial Neural Networks (ESANN),April 2005.
    • M.R. Joyce, K.K. Lee, S. Syngellakis and P.A.S. Reed. "Quantitative assessment of preferential fatigue initiation sites in a multi-phase aluminium alloy" Fat. Fract. Engng Mater. Struct. , 2004, Vol. 27 pp 1025-36
    • K K Lee, C J Harris, S R Gunn and P A S Reed. Classification of Imbalanced Data With Transparent Kernel, INNS-IEEE International Joint conference on Neural Network (IJCNN), Washington DC, U.S.A, July 2001, pg 2410-2415.

This page is last updated at: 24-FEB-2014