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.

Algorithms Download

Professor

Room: G6409 Tel: (852) 3442-7756 Fax: (852) 2788-7791 Email: eetchow@cityu.edu.hk

Vita

Tommy W S Chow is a Professor of the Department of Electronic Engineering at the City University of Hong Kong. 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, U.K.. He also worked for NEI Reyrolle Technology at Hebburn, England developing 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 Defense (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 join 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 Machine learning including Supervised and unsupervised learning, Data mining, Pattern recognition and fault diagnostic. His early research interests focused on developing training algorithms and weight initialization methods for supervised neural networks. He has also applied his developed supervised learning algorithms on many engineering and physical science problems such as documents processing, control, signal processing, pattern recognition, and fault diagnostic. More recently, he works on high dimensional feature selection, data reduction, data visualization, and clustering.

Until now, he has published over 170 referred papers in international journals, 5 book chapters, and over 70 technical papers in international conference proceedings. He has also published a monograph book on Neural Networks. He received the Best paper award in the 2002 IEEE Industrial Electronics Society Annual meeting at Seville, Spain. He has successfully supervised over 18 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, Chow has performed active consultancy and collaboration projects with CEPREI(China Electronic Product Reliability and Environmental Testing Research Institute), 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 program 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.

Research Interests

Neural Networks, Computational Intelligent, Machine learning, Pattern Recognition, Fault Detection and Diagnosis

US Patent

US 9363626 B2 (Determining faulty nodes within a wireless sensor network)

Editorial Board

Associate Editor IEEE Transactions on Industrial Informatics

Guest Editor Neural Computing & Applications: Special Issue on ``The Emerging Applications of Neural Networks'' 2010

Guest Editor IEEE Access: Special Issue on ``Trends and Advances for Ambient Intelligence with IOT systems''

Associate Editor Neural Processing Letters

Professional Activities

Visiting professor
(with Technical Talk)North Caroline State University, USA, 2016.
Visiting professorMelbourne University, Australia, 2016.
Visiting professor
(with Technical Talk)University of British Columbia, Vancouver Canada, 2014.
Visiting professor
(with Technical Talk)Waseda University, Japan, 2013.
Visiting professor
(with Technical Talk)University of Washington, Seattle, USA, 2012.
Visiting professor
(with Technical Talk)The University of Maryland, College Park, USA, 2010.
International Program committee memberInt Conference on Prognostics and System Health Management, July 2012, Beijing.
International Program committee memberInt Conference on Prognostics and System Health Management, 2010, Macau.
International Program committee memberICONIPS, 2009 Bangkok.
International Program committee memberICIC, 2009 Ulsan South Korea.
International Program committee memberICIC, 2008 China.
International Program committee member2007 International Symposium on NeuralNetworks, June, Nanjing, China.
International Program committee memberICIC, 2006 China.
International Program committee memberThe Third IASTED International Conference on Computational Intelligence, Banff Canada. July 2007
Track Chair on Neural NetworkInternational conference on communications, circuits, and systems (ICCCAS07), Fukuoka, Japan, July 11-13 2007.
International Program committee memberInternational Conference on Intelligent Computing: ICIC 2007, Qingdao, China, August 21-24 2007.
Organizing Committee memberCAAST' 1998 on Automation Science & Technology China Automation Academics (CAA), Hong Kong.
Organizing ChairmanCAI Symposium' 1996 on Application and Development of Automation and Control Technologies, HKIE Hong Kong.
Treasurer1994 IFAC International workshop on Safety Reliability & Applications of Emerging  Intelligent Control Technologies, IFAC, Hong Kong.
SecretaryThe 3rd IEE International Symposium on Consumer Electronics, IEE, 1994 Hong Kong.

Publications

See Prof. Chow's selected journal 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, Part II, Data reduction for pattern recognition and data analysis, Computational Intelligence: A Compendium, Springer, Editor: John Fulcher, Lakhmi C. Jain, 2008.

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

1. 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. (Presented by Chow)

2. Yang Xu, Tommy W.S. Chow, Efficient Self-Organizing map Learning Scheme Using Data Reduction Preprocessing, 2010 International Conference of Data Mining and Knowledge Engineering, London June 2010. (Best Student paper Award: Presented by Xu)

Awards

Third Price, Shanghai City Science & Technology Award, 2009.

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)The University of Nottingham, Ningbo
Y. Fang(1999)Shanghai University, China
Sitao Wu(2004)University of California, San Diego, USA
W. M. Ma(2005)Chinese University of Hong Kong, Hong Kong
Di Huang(2005)National Institute of Health (NIH), USA
M. M. Rahman(2007)United International University, Bangladesh
Zhaohui Gan(2008)Wuhan University of Science and Technology, China
Piyang Wang(2008)PCCW Limited, Hong Kong
Haijun Zhang(2010)Harbin Institute of Technology Shenzhen Graduate School, China
Lu Xu(2010)
Wei Huang(2010)Zhejiang University of Technology, China
Zhou Wu(2013)University of Pretoria, South Africa
Zhao Zhang(2013)Soochow University, Suzhou, China
Mingbo Zhao(2013)Donghua University, Shanghai, China
Xiaohang Jin(2014)Zhejiang University of Technology, China
Bing Li(2014)
Peng Tang(2014)Big Data R&D, Hong Kong

Current Ph.D Advisees

Wenlong Cheng, Jicong Fan, Jianghong Ma, Hadrien VAN LIERDE, Dong Yang, Zhaoyang Tian