Dr.
Steve Sai Ho Ling
University
of Technology Sydney, Australia
Email: steve.ling@uts.edu.au
Qualifications
2006 Ph.D., The Hong Kong Polytechnic University,
Hong Kong, China
2002 M.Phil., The Hong Kong Polytechnic
University, Hong Kong, China
1999 B.Eng., The Hong Kong Polytechnic University,
Hong Kong, China
Publications
(selected)

S.H.
Ling, Genetic Algorithm and Variable Neural Networks: Theory and
Application, Lambert Academic Publishing, German, 2010, ISBN: 9783843367295.

H.K.
Lam, S.H. Ling, and H.T. Nguyen, Eds., Computational Intelligence and
Its Applications: Evolutionary Computation, Fuzzy Logic, Neural Network and
Support Vector Machine Techniques, World Scientific, UK, Aug 2012, ISBN:
9781848166912.

P.P.
San,S.H. Ling,and H.T. Nguyen, “Industrial Application of Evolvable BlockBased
Neural Network to Hypoglycemia Monitoring System,” IEEE Trans.
Industrial Electronics, 2012 (inpress).

S.H.
Ling,P.P. San, H.T. Nguyen, and F.H.F. Leung, “Noninvasive nocturnal
hypoglycemia detection for insulindependent diabetes mellitus using genetic
fuzzy logic method,” Int. J. Computational Intelligence and Applicat,
2012 (inpress).

P.P.
San,S.H. Ling,and H.T. Nguyen, “Application of optimized variable translation
wavelet neural network in hypoglycemia detection system,” Neural
Computing and Applications, 2012 (inpress).

J.C.Y. Lai, F.H.F. Leung, S.H. Ling and H.T. Nguyen,
“Hypoglycaemia detection using fuzzy inference system with multiobjective
double wavelet mutation differential evolution,” Applied Soft Computing,2012(inpress)

K.Y.
Chan, C.K.F. Yiu, T.S. Dillon, S. Nordholmand, and S.H. Ling,“Enhancement
of speech recognitions for control automation using an intelligent particle
swarm optimization,” IEEE Trans on Ind. Informatics, vol. 8,
no. 4, pp. 869–879, Nov, 2012.

S.H.
Ling and H.T. Nguyen, “Natural occurrence of nocturnal hypoglycemia detection using
hybrid particle swarm optimized fuzzy reasoning model,” Artificial
Intell.inMedicine,vol. 55, no. 3, pp. 177–184, July, 2012.

J.C.Y. Lai, F.H.F. Leung, S.H. Ling and E. C. Shi, “An
Improved differential evolution and its industrial application,” Journal
of Intelligence Learning Systems and Application, vol. 4, no. 2, pp.
81–97, May, 2012.

N.
Nuryani, S.H. Ling,and H.T. Nguyen, “Electrocardiographic signals and
swarm based support vector machine for hypoglycemia detection,” Annals
of Biomedical Engineering , vol. 40, no. 4, pp. 934–945, Apr, 2012.

S.H.
Ling, F. Jiang, K.Y. Chan, and H.T. Nguyen,“Hybrid
fuzzy logicbased particle swarm optimization for flow shop scheduling
problem,” Int. J. Computational Intelligence and Applicat.,vol. 10,
no. 3, pp. 335–356, Sep, 2011.

K.Y.
Chan, S.H. Ling, T.S. Dillion, and H.T. Nguyen, “Diagnosis of hypoglycemic
episodes using a neural network based rule discovery system,” Expect
system and Applications, vol. 38, no. 8, pp. 9799–9808, Aug, 2011.

D.
Dehestani, F.Eftekhari, Y. Guo, S. H. Ling, S. Su, H.T. Nguyen, “Online support
vector machine application for model based fault detection and isolation of
HVAC system,” International Journal of Machine Learning and Computing,
vol. 1, no. 1, pp. 66–72. Apr, 2011.

S.H.
Ling and H.T. Nguyen, “Genetic algorithm based multiple regression with fuzzy
inference system for detection of nocturnal hypoglycemic episodes,” IEEE
Trans. on Information Technology in Biomedicine, vol. 15, no. 2, pp.
308–315, Feb, 2011.

S.H.
Ling and H.K. Lam, “Playing TicTacToe using genetic neural network with
double transfer functions,” Journal of Intelligence Learning Systems
and Application, vol. 3, no. 1, pp. 37–44, Feb, 2011.

Y.
Liu, B. Liu, andS.H. Ling, “The almost periodic solution of
lotkavolterrarecurrent neural networks with delays,”Neurocomputing,
vol. 74, no. 6, Feb, pp. 1062–1068, 2011.

S.H.
Ling, “A new neural network structure: nodetonodelink neural network,” Journal
of Intelligence Learning Systems and Application,vol. 2, no. 1, pp. 1–11,
Feb, 2010.

K.Y.
Chan, K.W. Chan, Glory T.Y. Pong,M. Emin
Aydin,T.C. Fogarty and S.H. Ling, “A statisticsbased genetic
algorithm for quality improvements of power supplies,” European Journal
of Industrial Engineering, vol. 3, no. 4, pp. 468–492, 2009.

S.H.
Ling, F.H.F Leung, H.K. Lam, and H.C.C. Iu, "Variablestructure neural
network with realcoded genetic algorithm and its application on electric
shortterm load forecasting," Int. J Information and System
Sciences.,vol. 5, no. 1, pp. 23–40, Jan. 2009.

F.H.F.
Leung,S.H. Ling, and H.K. Lam," Animproved geneticalgorithmbased
neuraltuned neural network," International Journal of
Computational Intelligence and Applications,vol. 7, no. 4, pp. 469–492,
Dec. 2008.

K.Y.
Chan,M. Emin Aydin, S.H. Ling, T.C. Fogarty, and H.H.C. Iu,“Genetic algorithms with
dynamic mutation rates and their industrial applications,”International
Journal of Computational Intelligence and Applications, vol. 7, no. 2, pp. 103–128,
Jun. 2008.

S.H.
Ling,H.H.C Iu, F.H.F. Leung,and K.Y. Chan, “Improved hybrid PSObased wavelet
neural network for modelling the development of fluid dispensing for electronic
packaging,”IEEE Trans. Industrial Electronic,vol. 55, no. 9, pp. 3447–3460,
Sep. 2008.

K.Y.
Chan, S.H. Ling, K.W. Chan, G.T.Y. Pong, and H.H.C. Iu, “Solving
TransientStability Constrained Optimal Power Flow Problems with Wavelet
Mutation Based Hybrid Particle Swarm Optimization,” Int. J Information
and System Sciences, vol. 4, no. 4, pp. 585–601, Sep. 2008.

J.H.C
Hga, H.H.C. Iu, S.H. Ling, and H.K. Lam, “Comparative study of stability in
different TCP/RED models,” Chaos, Solitons& Fractals,vol. 37,
no. 4, pp. 977–987, Aug. 2008.

S.H.
Ling, H.C.C. Iu, K.Y. Chan, H.K. Lam, C.W. Yeung and F.H.F Leung, “Hybrid
particle swarm optimization with wavelet mutation and its industrial
applications,” IEEE Trans. Sys., Man, and Cybernetics, Part B, vol.
38, no. 3, pp. 743–763, Jun. 2008.

H.K.
Lam, B.W.K. Ling, H.H.C. Iu, and S.H. Ling, “Synchronization of chaotic systems
using timedelayed fuzzy statefeedback controller,”IEEE Trans Circuit and Sys.
I,vol. 55, no. 3, pp. 893903, Apr. 2008.

S.H.
Ling, H.K. Lam, and F.H.F. Leung, “Inputdependent neural network trained
by improved genetic algorithm and its application,”Soft Computing,vol.
11, no. 11, pp. 1033–1052, Sep. 2007.

K.F.
Leung, F.H.F. Leung, H.K. Lam and S.H. Ling, "Application of a
modified neural fuzzy network and improved genetic algorithm to speech
recognition," Neural Computing and Application,vol. 16, no.
4–5, pp. 419–431, May. 2007.

S.H.
Ling and F.H.F Leung, "An improved genetic algorithm with
averagebound crossover and wavelet mutation operations," Soft Computing,vol. 11,
no. 1, pp. 7–31, Jan. 2007.

S.H.
Ling, F.H.F Leung and H.K. Lam, "An improved genetic algorithm based
fuzzytuned neural network," Int. J. Neural systems,vol. 15,
no. 6, pp. 457–474, Dec. 2005.

S.H.
Ling, F.H.F. Leung, L.K. Wong, and H.K. Lam," Computational
Intelligence techniques for Home Electric Load Forecasting and Balancing," International
Journal of Computational Intelligence and Applications,vol. 5, no. 3, pp.
371–391, Sep. 2005.

H.K.
Lam, S.H. Ling, F.H.F. Leung, and P.K.S. Tam, “Function estimation using a
neuralfuzzy network and an improved genetic algorithm,” International
Journal of Approximate Reasoning, vol. 30, no. 3, pp. 243–260, Jul. 2004

F.H.F
Leung, H.K. Lam, S.H. Ling, and P.K.S. Tam, “Optimal and stable fuzzy
controllers for nonlinear systems using an improved genetic algorithm,” IEEE
Trans. Industrial Electronics, vol. 51, no. 1, pp.172–182, Feb. 2004.

K.F.
Leung, F.H.F. Leung, H.K. Lam, and S.H. Ling, “On interpretation of
graffiti digits and commands for eBooks: neuralfuzzy network and genetic
algorithm Approach,” IEEE Trans. Industrial Electronics, vol. 51,
no. 2, pp.464–471, Apr. 2004.

S.H.
Ling, F.H.F Leung, H.K. Lam, and P.K.S. Tam, “Shortterm electric load
forecasting based on a neural fuzzy network,” IEEE Trans. Industrial
Electronics, vol. 50, no. 6, pp.1305–1316, Dec. 2003.

S.H.
Ling, F.H.F. Leung, H.K. Lam, Y.S. Lee, and P.K.S. Tam, “A novel GAbased
neural network for shortterm load forecasting,” IEEE Trans. Industrial
Electronics, vol. 50, no. 4, pp.793–799, Aug. 2003.

F.H.F.
Leung, H.K. Lam, S.H. Ling, and P.K.S. Tam, “Tuning of the structure
and parameters of neural network using an improved genetic algorithm,” IEEE
Trans. Neural Networks, vol.14, no. 1, pp.79–88, Jan. 2003.
Profile Details:
Null
