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Assoc. Professor Vincent Cheng-Siong Lee
BBus(Econ & Fin, Hons I), BEng, MSc(EE),MBA,MBus(Accountancy), PhD,GCHE

Associate Professor

Room 122, Building 63, Clayton

Phone:+61 3 990 52360
Fax:+61 3 990 55159
Email:
Homepage:http://www.infotech.monash.edu.au/about/staff/Vincent-Lee

Teaching commitments:

  1. FIT5159
  2. FIT3051
  3. FIT9006
  4. FIT3009

Professional associations:

  1. AAANZ (Australia)
  2. Member,IAPA (Australia)
  3. MSIM(Singapore)
  4. PEng(Singapore)
  5. CEng(UK)
  6. Member, ACM(USA)

Research interests:

  1. Agebraic Method in Accounting System;
  2. Design and Analysis of Intelligent Data and Graph representation of Text, Text Mining Algorithms;
  3. Decision Support and Business Intelligence Systems Design and Development;
  4. Privacy Preserving and Secured Multiparty Data Mining;
  5. Multisensor adaptive complex system optimisation and pattern recognitions;
  6. Evolutionary Computational Finance for Adaptive Digital Asset Portfolio Management;
  7. Multicriterion Decision Analysis and Constrained Optimization/Satisficing;
  8. Inter-enterprise Information Risk Management System in Supply Chain Network (service science, service systems and service management);
  9. Study of Corporate Governance, Executive Compensation and Intellectual Capital;
  10. MONASH UNIVERSITY RESEARCH CENTRE AFFILIATION
  11. Centre for Research in Intelligent Systems (CRIS)
  12. Centre of Socio-Informatics (COSI)
  13. INTERNATIONAL RESEARCH COLLABORATION
  14. Research Centre for Advanced Information Systems, School of Computer System Engineering, Nanyang Technological University Singapore (with Assoc Prof WK Ng);
  15. Research Centre for Computational Intelligence, School of Computer System Engineering, Nanyang Technological University Singapore (with Assoc Prof YS Ong);
  16. School of Economics and Management, Tsinghua University, Beijing (China)(with Professor Jian CHEN);
  17. Office of Research and Institutional Development, Hong Kong Baptist University(with Prof. A C Tsoi);
  18. Department of Computer Science, University opf Siena, Italy (with Prof. M Gori and Prof. F Scarselli);
  19. Warwick Manufacturing Group, University of Warwick (With Dr Yen Cheung (Monash) and Assoc Prof Jay Bal(Warwick & Dr Mark Swift (Warwick)).
  20. NATIONAL RESEARCH COLLABORATION
  21. Department of Computer Science, University of Melbourne, Melbourne with Dr Xuan-Hong Dang);
  22. School of Computer Science, University of Wollongong, NSW (with Dr Markus Hagenbuchner);
  23. School of Information Technology, Deakin University, Melbourne (with Dr KL Ong & Dr Gang Li).

Research publications:

  1. Phua, C., Smith-Miles, K., Lee, V., Gayler, R. (2012). "Resilient Identity Crime Detection", to appear in IEEE Transaction on Knowledge and Data Engineering, vol.24, issue 3, pp.533-546. (SCI)
  2. Cheong, M., Lee, V. C. S. (2011). "A microblogging-based approach to terrorism informatics: exploration and chronicling civilian sentiment and response to terrorism events via Twitter", Information Systems Frontiers, vol. 13 No. 1 pp. 45-59. (SCI)
  3. Han, Shuguo, Ng, W. K., Wan, L., Lee, V. C. S. (2010). "Privacy-Preserving Gradient Descent Methods, IEEE Transactions on Knowledge and Data Engineering, vol 22, issue no. 6 (June 2010), pp884-899. (SCI)
  4. Taniar, D., Rahayu, W., Lee, V.C.S., Daly, O. (2010), "Mining Hierarchical Negative Association Rules", International Journal of Computer Systems: Science and Engineering, 23(2).
  5. Al-Mutawah, K., Lee, V. C. S., Cheung, Y. (2009). A New Multiagent System Framework for Tacit Knowledge Management for Manufacturing Supply Chain, Journal of Intelligent Manufacturing, Special issue on Knowledge Discovery and Management in Engineering Design and Manufacturing, vol. 20, No. 5, October 2009, pp. 593-610. (SCI)
  6. Barnes, M., Lee, V. C. S. (2009). Effects of Macroeconomic and Firm Specific Factors on Shareholder Wealth: Some Australian Evidence, Journal of Wealth Management, summer, vol. 12, No. 1, pp. 41-61.
  7. Phua, C., Gayler, R., Lee, V. C. S., Smith-Mile, K. (2009). On the Commual Analysis Suspicious Scoring for Identity Crime in Streaming Credit Applications, European Journal of Operational Research, vol. 195, 1st June Issue, 2009, pp.595-612. (SCI)
  8. Taniar, D., Rahayu, W., Lee, V. C. S., Daly, O. (2008). Exception Rules in Association Rule Mining, in Applied Mathematics and Computation, 2008, Elsevier, vol. 205, Issue 2, 15 November 2008, pp.735-750. (SCI)
  9. Barnes, M., Lee, V. C. S. (2007). An empirical study of AI-based multiple domain models for selecting attributes that drive company wealth, Soft Computing, vol. 11, No. 12 (A Fusion of Foundations, Methodologies and Applications, 20 Mar 2007 (online first), ISSN 1432-7643(print 20 Oct 2007) 1433-7479, pp.1193-1198. (SCI)
  10. Fang, V., Lin, C. T., Lee, V. C. S. (2007). Volatility Linkages and Spillovers in Stock and Bond markets: Some International Evidence, Journal of International Finance and Economics, vol. 7, pp 1-10, 2007 (Lead Article) (SSCI)
  11. Lee, V. C. S., Wong, H. T. (2007). A multivariate fuzzy-neuro system for currency risk decision making, Neurocomputing Journal, volume 70, Issues 4-6, Jan, pp. 942-951. (SCI)
  12. Lee, V. C. S., Shao, Linyi (2006). Estimating the Potential IT Security Loss An Alternative Quantitative Approach, IEEE Security and Privacy Magazine, Vol. 4, issue 6, 2006, pp. 44-52. (SCI)
  13. Lee, V. C. S., Yang, Xingjian (2006). An Artificial Immune System Approach for Real-time Discovery of Rare Patterns in Data Stream, WSEAS Transactions on Systems, vol. 5 issue 6, pp.1476-1481. (SCI-E)
  14. Wu, Weiping, Lee, V. C. S., Tan, T. Y. (2006). Data preprocessing and data parsimony in corporate failure forecast models evidence from Australian materials industry, Accounting and Finance Journal, vol. 46, no.2, pp. 327-345.
  15. Kwok, T., Tan, T. Y., Lee, V. C. S. (2006). An evolutionary finance approach to long-term equity portfolio strategy some Australian evidence, Journal of Investment Strategy, vol. 2, pp. 43-48.
  16. Phua, C., Lee, V. C. S., Smith, K., Gaylor, R. (2005). A Comprehensive Survey of Data Mining-based Fraud Detection Research, Artificial Intelligence Review, May 2005. (SCI)
  17. Phua, C., Alahakoon, D., Lee, V. C. S. (2004). Minority Report in Fraud Detection: Classification of Skewed Data, SIGKDD Explorations, Volume 6, Issue 1, 2004, pp. 50-59.
  18. Lin, H. C., Lee, C. S. (2001). Enhanced FFT based parametric algorithm for simultaneous multiple harmonics analysis, IEE proceedings-Generation, Transmission and Distribution, ISSN 1350-2360, Institution of Electrical Engineers, London, UK, Vol. 148, May, pp.209-214. (SCI)
  19. Lee, C. S., Lin, H. C. (2001). An interactive framework for teaching power system harmonics, International Journal of Electrical Engineering Education, ISSN 0020-7209, Manchester, UK, Vol. 38/1, January, 2001, pp.45-53. (SCI)
  20. Fitzpatrick, P., Lee, C. S., Warfield, B. (1997). Teletraffic Performance of Mobile Radio Networks with Hierarchical Cells and Overflow, IEEE Journal on Selected Areas in Communications, ISSN 0733-8716, Institution of Electrical and Electronics Engineers, New York, USA, Vol. 15, No. 8, 1997, pp. 1549-1557. (SCI)
  21. Lee, C. S., Evans, R. J. (1992). A new Eigenvector Weighting Method for Stable High Resolution Array Processing, IEEE Transactions on Signal Processing, ISSN 1053-587X, Institution of Electrical and Electronics Engineers, New York, USA, Vol. 40, No. 4, pp. 999-1004. (SCI)
  22. Er, M. H., Cantoni, A. Cantoni, Lee, C. S. (1990). Application of Signal Subspace Method to High Resolution Narrowband Array Processing, Journal of Circuits, Systems and Signal Processing, ISSN 0278-081X, Cambridge, MA, USA, Vol. CSSP-9, No. 4, Dec 1990, pp.421-433. (SCI)
  23. Lee, C. S., Er, M. H., Evans, R. J. (1989). A Simple and Fast Method for Direction Finding of Multiple Wideband Sources, IEE - Electronics Letters, ISSN 0013-5194, Institution of Electrical Engineers, London, UK, Vol. 25, No. 22, 26 October, 1989, pp.1521-1523. (SCI)
  24. Sng, Y. H., Lee, C. S. (1990). On-line Measurement of Power System Frequency, The Electrical and Electronic Engineering Journal, Singapore, ISSN 0129-0150, Vol. 2, No. 1, July, pp. 74-82.
  25. Chng, C. L., Koh, S. N., Lee, C. S. (1989). An Associative Parallel Processor Based on the Wade-Sodini Cell, The Electrical and Electronic Engineering Journal, Singapore, ISSN 0129-0150, Vol. 1, No. 1, July, pp. 18-22.
  26. Lee, C. S., Chng, C. L.. (1988). CIM Strategies - A Multi-Dimensional Perspective, Journal of The Institution of Engineers, Singapore, Special Issue on Manufacturing (Factory Automation), ISSN 0377-7464, Vol. 28, No. 4 (October), pp. 31-34.

Biography:

Associate Professor Lee received his tertiary education in engineering (computer, adaptive signal processing, and telecommunications systems); business administration (strategic and operational IS planning and implementation strategy); and accountancy and finance in Australia, Singapore and United Kingdom. He was awarded an Australian Federal Department of Employment, Education and Training Scholarship for PhD research at the Department of Computer System and Electrical Engineering, The University of NewCastle, New South Wales. In his PhD research, he designed and developed several data-driven algorithms for adaptive filtering (optimum signal processing using operations research and linear algebra techniques) of spurious time series and cross sectional data. In May 1973, he was awarded a joint merit scholarship by Ministry of Defence, Singapore and UK governments for one year full time specialised Avionic Systems Training at Royal Air Force College, Cranwell in UK.

Prior to starting his academic career, he has had 13 years of professional engineering, in strategic and operational business management experience. He worked as Cost Analysts, Business Information Systems and Technology Consultants and Corporate Planning Managers for: General Electric (USA), General Motors (USA), Delco Electronics (USA), Jardine Matheson (S.E.A), Ministry of Defence (Singapore and UK), Singapore National Productivity Board, and Singapore National Computer Board, in Singapore. His industrial experience includes planning, design, and implementation of avionic systems (radar, navigational and computer-controlled weapons) fitted on board military aircraft, IT and telecommunications networks (architecture and topology), adaptive interference rejection and capacity enhancement for mobile communications systems, business process re-engineering projects, accounting information systems, electronic production systems, and integrated decision support systems for financial/business risk management with and without financial derivatives.

Before joining the School of Business Systems of Monash University in Semester 2, 2001, he has had 15 years of tertiary teaching with three other universities in Australia and Singapore, undergraduate and postgraduate teaching; supervision of research masters and PhD students from inception to completion. He has taught courses for industrial professionals, undergraduate and postgraduate students on adaptive signal processing, telecommunications network design and management, information theory and applied coding, financial accounting, financial modelling, computational intelligence techniques for investments and portfolio management, Internet Protocol for computer and communication internetworking, and technology management.

He is one of the teaching and research active academic staff. His current research includes: complex (interdisciplinary multiparadigm) adaptive systems (including artificial immune systems), integrated information systems for operational and financial risk management, data and text mining of business intelligence, multicriterion intelligent (hybrid intelligent system techniques - GA, GP, NN, SVM, EC, and Fuzzy Logic - for integration of knowledge extraction, data and text mining) decision support systems, behavioural based asset pricing models, evolutionary portfolio theory (dynamic asset valuation and allocation) in finance, information security investment modelling and evaluation. His teaching philosophy focuses on the use of problem-solving methodology.

Lee is first Chief Investigator(CI)for one ARC DP and two ARC Linkage grants and thirteen other nationally competitive grants awarded by Australia and Singapore enterprises and from not-for-profit organisations.

--------------------------------------------------------------------------------Email Vincent.CS.Lee@monash.edu, Phone +61 3 9905 2360 Fax +61 3 9905 5159 Location Building 63 - office 122, Clayton Campus


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