Neural Researchers are able to model complicated systems via advanced mathematical model and computer, but we are absolutely inept in modeling "love".

The earth shrugged,
The sea roared.
The sun and the sky showed no sign of madness,
In a split second ships and houses were tossed and torn,
        irrespective of  luxury hotels or poor hamlets.
Riches and the poor were shown no mercy from the furious sea,
Everything collapsed in rubble and time shaken.
It inflicted a tide of human grief,
Lives lost, families shattered, and spirits wept,
It carved the history of a human tragedy.

Written in memorizing the ones who lost their lives or their loved ones in the December 2005 Tsunami.                                                                                   Tommy Chow
 

CHOW, Tommy Wai-Shing
B.Sc., Ph.D. FIET, CEng, SMIEEE

Algorithms Download

Professor

Room: G6409 Tel: (852) 2788-7756 Fax: (852) 2788-7791 Email: eetchow@cityu.edu.hk

Prof. Chow was born in Hong Kong and was educated in the U.K.. He received an IEE U.K. undergraduate scholarship in 1983, and was awarded a first class Honours degree in 1984 at the University of Sunderland. He also worked for NEI Reyrolle Technology at Hebburn, England to develop a surge arrester digital simulator for transient network analyser. He then worked on a research project involving high current density current collection system for superconducting direct current machines. The research project was carried out in collaboration with the Ministry of Defence (Navy) at Bath, England and the International Research and Development at Newcastle upon Tyne. He received his Ph.D. degree in 1988 and returned Hong Kong to joint the Electronic Engineering Department of the university.
 

Since he began his academic career with the Department, he has constantly carried out active research work. His research interests are in the area of neural networks, Self-Organising Map, Computational intelligence, and machine fault diagnostic. His early research projects were mainly focused on supervised network problems.  A number of fast training algorithms and  weight initialization methods were developed.    He has also developed and applied new types of supervised neural networks on many industrial problems such as forecasting, control, signal processing, pattern recognition, and machine fault diagnostic.  Recently he has focused on unsupervised networks, feature selection, and machine learning problems. New types of SOM such as online Cellular Probabilistic SOM, Probabilistic Regularized SOM, Multi-Layer SOM and other algorithms were developed for handling visualization, tree data structure, and recognition applications.  He also developed new computational methods for handling numerical and nominal data clustering problems.  New methods on nominal and transactional data feature selection were developed.  Most recently, his research interest has extended to Bioinformatics using new probabilistic based methodologies. His recent findings are related to the development of new type of  feature selection  methods using mutual information, and Bayesian methods for performing efficient genes selection from microarray cDNA data for cancer diagnosis.
 

Until now, he has published over 120 technical papers in international journals, 5 book chapters, and over 60 technical papers in international conference proceedings. He has also published a monograph book, and has been preparing for 3 book-chapters.  He received the Best paper award in the 2002 IEEE Industrial Electronics Society Annual meeting at Seville, Spain. He has successfully supervised over 10 Ph.D students.  Apart from these research activities, he has been very active in professional services. He has been a regular technical reviewer for many renowned international journals, member of different international conference organizing committees. He has delivered talks, invited papers, and seminars in different universities and conferences.  In practical engineering work, Prof. Chow has performed active consultancy and collaboration projects with the Rolling Stock Department and Building Services Department of the KCRC, Hong Kong Electric, Hong Kong Royal Observatory, and Hong Kong MTRC. In professional activities, he has been an active Committee Member of the HKIE (Hong Kong Institution of Engineers) Control Automation and Instrumentation (CAI) division since 1992, and was the Division Chairman (1997-98) for the HKIE CAI division. He was also responsible for a 10 (half-hour) episodes radio broadcasting programme on Information Technology Networks with the Radio Television Hong Kong. He was appointed by the Hong Kong SAR Government and has served as committee member of the Hong Kong Occupational Safety and Health Council for 6 years.
 

Biography Listing

Who's Who in the World '2000 and other later issues

Who's Who in Science and Engineering '2000 and other later issues

2000 Outstanding Scientists of the 20 Century

 

Research Interests

Neural Networks, Computational Intelligent, Machine learning, Control Systems

Editorial Board

Associate Editor, Pattern Analysis and Applications

Associate Editor, International Journal of Information Technology

 

Conference Organizations

 

Publications

Monograph Book

Neural Networks & Computing: Learning algorithms and applications, Tommy W. S. Chow, and S. Y Cho, Imperial College Press, 2007

 

Book Chapters

1. T. W. S. Chow, D Huang, Data reduction for pattern recognition and data analysis, Computational Intelligence Handbook, Springer-Verlag, to appear. 

 2. T.W.S. Chow, M. K. M. Rahman, Neurocomputing Research Development, Chapter 4: Extensions of Self-Organizing Maps to Handle Structured Data, Editor: Hugo A. Svensson, pp. 107-139, Nova Science Publishers, Inc. 

3.  D Huang, T. W. S Chow, Chapter 11: Towards the Enhancement of Gene Selection Performance, Computational Intelligence in Bioinformatics: Studies in Computational Intelligence, Edited by A. Kelemen, A. Abraham, Y. Chen, Springer, February 2008.

 4. T. W. S. Chow, D. Huang, Using Mutual information for  Feature  selection with bioinformatics applications, Neural Networks Applications in Information Technology and Web Engineering, 2005, Borneo Publishing Co.

5.  T. W. S. Chow, H. Z. Tan, Y Fang, Nonlinear systems representation, Encyclopedia of Electrical and Electronics Engineering, edited by John G. Webster, New York: John Wiley & Sons, January 2002.

Best Paper Award

D Huang, Tommy W.S. Chow and W N Chau, Neural Network based system for counting people, 2002 28th Annual Conference of the IEEE Industrial Electronics Society, November 2002, Sevilla Spain.
  

 Selected Journal Publications since 2004

 

1)     T. W. S. Chow, P. Y. Wang, and Eden W. M, Ma, A New Feature Selection Scheme using data distribution factor for unsupervised nominal data, IEEE Trans on MSC Part B, accepted.

 2)     X. D. Li, T. W. S. Chow, John K. L. Ho, Iterative learning control for a class of nonlinear discrete-time systems with multiple input delays, International Journal of Systems science, to appear.

 3)     X. D. Li, T. W. S. Chow, and John K. L. Ho, Quasi-Sliding Mode Based Repetitive Control for Nonlinear Continuous-Time Systems with Rejection of Periodic Disturbances, Automatica, accepted.

 4)     D. Huang, T. W. S. Chow, Identifying the biologically relevant gene categories based on gene expression and biological data: an example on prostate cancer, Bioinformatics, Vol. 23, No.12, pp.1503-1510, 2007.

 5)     Zhaohui Gan, T. W. S. Chow, D. Huang, Effective gene selection method using Bayesian discriminant based criterion and genetic algorithms, Journal of Signal Processing Systems for Signal, Image, and Video Technology, to appear.

 6)     M. K. M. Rahman, T. W. S. Chow, Sitao Wu, SOM Aided Visualization and Retrieval of Flower Database Using A New Tree-Structured Representation, Neural Computing & Applications, to appear.

 7)     M. K. M. Rahman, T. W. S. Chow, P. Y Wang, Sitao Wu, A Flexible Multi-Layer Self-Organizing Map for Generic Processing of Tree-Structured Data, Pattern Recognition, Issue. 40, pp. 1406-1424, 2007.

 8)     D. Huang, T. W. S. Chow, An Excellent Feature Selection Model Using Gradient-Based and Point Injection Techniques, Lecture Notes in Computer Science, October 2006. I. King et al. (Eds.): ICONIP 2006, Part II, LNCS 4233, pp. 679 – 692, 2006. Springer-Verlag Berlin Heidelberg 2006.

 9)     Sitao Wu, T. W. S. Chow, Self-Organizing and Self-Evolving Neurons: a New Neural Network for Optimization, IEEE Trans on Neural Networks, Vol. 18, No. 2, pp. 385-396, March 2007.

 10) D. Huang, T. W. S. Chow, Effective gene selection method with small sample sets using gradient-based and point injection techniques, IEEE Transactions on Computational Biology and Bioinformatics. Vol. 4. No. 3, Sept. 2007.

 11) T. W. S. Chow,  M. K. M. Rahman,  A New Image Classification Technique using Tree-Structured Regional Features, Neurocomputing, vol. 70, Issue 4-6, pp. 1040-1050, 2007.

 12) Xiao-Dong LI, T. W. S. Chow, John K. L. Ho, H. Z. Tan, Repetitive Learning Control of Nonlinear Continuous-Time Systems Using Quasi-Sliding Mode, IEEE Trans   on Control and Technology, Vol. 15, No. 2, March 2007.  

 13)  D. Huang, T. W. S. Chow, Improving the effectiveness of RBF classifier based on a hybrid cost function, Neural Computing & Applications, Vol. 16, No. 4-5, May, 2007.

14) T. W. S. Chow, M. K. M. Rahman, Face Matching in Large Database by Self-Organising Maps, Neural Processing Letters, Volume 23, Issue 3, Jun 2006, Pages 305 – 323.

15) Yong Fang, T. W. S. Chow, Wavelets Based Neural Network for function approximation, Lecture Notes in Computer Science, Vol. 3971/2006, pp. 80-85.

16) T. W. S. Chow, M. K. M. Rahman, Sitao Wu, Content Based Image Retrieval by Using Tree-Structured Features and Multi-Layer SOM, Pattern Analysis and Applications, 9, May. 2006, 1-20.

17) Sitao Wu, T. W. S. Chow, K. T. Ng, Kim Fung Tsang, Improvement of borrowing channel assignment for patternd traffic load by online cellular probabilistic self-organising map, Neural Computing and Applications, Volume 15, Issue 3 - 4, Jun 2006, Pages 298 – 309.

18) Sitao Wu, T. W. S. Chow, K. T. Ng, Using Cellular Probabilistic Self-Organizing Map in Borrowing Channel Assignment for Patterned Traffic Load, Neural Processing Letters, Vol. 23, pp. 71-88, Feb 2006.

19) S. Y. Cho, T. W. S. Chow, Robust Face Recognition By Using Generalized Neural Reflectance Model, Neural Computing & Applications, 15 (2): 170-182 April 2006.

20) D. Huang, T. W. S. Chow, Enhancing Density Based Data Reduction Using Entropy, Neural Computation, Feb 2006, Vol. 18, No. 2, pp. 470-495.

21) Sitao Wu, T. W. S. Chow, PRSOM: A New Visualization Method by Hybridizing Multi-Dimensional Scaling and Self-Organizing Map, IEEE Trans on Neural Networks, Vol. 16, No. 6, November 2005, pp. 1362-1380.

22) Y. Fang, T. W. S. Chow, Non-linear Dynamical Systems Control Using a New RNN Temporal Learning Strategy, IEEE Trans on Circuit and Systems, Part II, Vol. 52, No.11, November 2005, pp.719-723.

23) Xiao-Dong LI , John K. L. Ho and T. W. S. Chow, Approximation of Dynamical Time-Variant Systems by Continuous-Time Recurrent Neural Networks,  IEEE Trans on Circuit and Systems, Part II, Vol. 52, No.10, October 2005, pp.656-660.

24) D. Huang, T. W. S. Chow, Eden W. M. Ma, Jinyan Li, Efficient selection of discriminative genes from microarray gene expression data for cancer diagnosis, IEEE Trans on Circuit and Systems, Part I, Vol. 52, Iss. 9, Sept 2005, pp. 1909-1918.

25) Xiao-Dong LI , John K. L. Ho and T. W. S. Chow, An iterative learning control method and mathematical model for robotic manipulation at undesired locations, International Journal of Computer Integrated Manufacturing, Vol. 18, No. 6, Sept 2005, pp. 480-486.

26)  Xiao-Dong LI, T. W. S. Chow , and John K. L. Ho, 2-D System Theory Based Iterative Learning Control for Linear Continuous Systems with Time-Delays, IEEE Trans on Circuit and Systems, Part I, Vol. 52, No. 7, July 2005, pp.1421-1430.

27) Sitao Wu, M. K. M. Rahman. T. W. S. Chow, Content-based image retrieval using growing hierarchical self-organizing quadtree map, Pattern Recognition, Vol. 38, Issue. 5, May 2005, pp. 707-722.

28) D. Huang, and T. W. S. Chow,  Efficiently searching the important input variables using Bayesian discriminant, IEEE Trans on Circuit and Systems, Part I, Vol. 52, No. 4, April 2005, pp. 785-793.

29) Xiao-Dong LI, John K. L. Ho, T. W. S. Chow, Iterative Learning Control for Linear Time-Variant Discrete Systems Based on 2-D System Theory, IEE Proceedings IEE Proceedings Control Theory and Applications, Vol. 152, No. 1, Jan 2005, pp.13-18.

30) T. W. S. Chow, D. Huang, Estimating Optimal Features Subset Using Efficient Estimate of High Dimensional Mutual Information, IEEE Trans on Neural Networks, Vol. 16, No. 1, January 2005, pp.213-224.

31) D. Huang, T. W. S. Chow, Effective feature selection scheme using mutual information, Neurocomputing, Vol. 63, August 2004, pp. 325-343.

32) T. W.S. Chow, Shi Hai, Induction machine fault diagnostic analysis with wavelet analysis, IEEE Trans On Industrial Electronics, Vol. 51, No. 3, 558-565, June 2004.

33) Eden W. M. Ma, T. W. S. Chow, A new shifting grid clustering algorithm, Pattern Recognition, vol. 37, pp.503-514, 2004.

34) B. Y. Wang, T. W. S. Chow, K. T. Ng, Blind adaptive identification of FIR channel in chaotic communication systems, Chinese physics, Vol: 13 iss: 3, March  2004, pp. 329-334.

35) B. Y. Wang, T. W. S. Chow, K. T. Ng An Improved Multipath Channel Identification Algorithm Using Multichannel Linear Prediction, Circuit System and Signal Processing, Vol. 23, No. 2, pp. 153-168, 2004.

36) Sitao Wu, T. W. S. Chow, Induction machine fault detection using SOM-based RBF neural networks, IEEE Trans On Industrial Electronics, Vol. 51, No. 1, Feb 2004, pp. 183-194.

37) Sitao Wu, T. W. S. Chow, Clustering of Self-Organizing-Map Using a Clustering Validity Index Based on Inter-Cluster and Intra-Cluster Density, Pattern Recognition, Vol. 37, No. 2, pp. 175-188, 2004.

38)  T. W. S. Chow, Sitao Wu, An Online Cellular Probabilistic Self-Organizing Map for Static and Dynamical Data Sets, IEEE Trans on Circuit and Systems, Part I, Vol. 51, No. 4, April 2004, pp. 732-747.

39) T. W. S. Chow, Sitao Wu, Cell-Splitting Grid: A self-creating and self-organizing Neural Networks, Neurocomputing, Vol.57, Mar. 2004, pp. 373-387.

 

 

 

Ph.D Graduates

 

F. Gou                (1995)

Hong-Zhou Tan  (1998)  Sun Yat-Sen University, China

Jim Y. F. Yam    (1998)  Gold Peak International, Hong Kong

Chi Tat Leung   (1998)

S. Y. Cho           (1999)  (Nanyang Technological University, Singapore)

Y. Fang              (1999)  ShangHai University, China

Sitao Wu            (2004)  University of Kansas, USA

W. M. Ma          (2005)  IVI, Hong Kong

D Huang            (2005)  North Carolina State University, USA

M. M. Rahman   (2007)  City University of Hong Kong

 

 

Current Ph.D Advisees

 

Zhaohui Gan

P. Y. Wang

L Xu

W. Huang

Haijun Zhang

 

Teaching Materials for Industrial Electronics 

Teaching Materials signals and systems

Teaching Materials for Engineers in Society 

 

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