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Associate Professor Vincent Lee
BBus(Hons), BEng, MSc(EE),MBA,MBus(Accountancy), PhD,GCHE

Associate Professor

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

Teaching commitments:

  1. FIT5159- IT for Financial Decisions
  2. FIT3130- Network design and deployment
  3. FIT3051-Decision Support Systems for Finance
  4. FIT3133- Integration Business Systems SAP for Real Time Enterprise

Professional associations:

  1. AAANZ (Australia)
  2. MSIM (Singapore)
  3. PEng(Singapore)
  4. C Eng (UK)

Research interests:

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

Research publications:

  1. Tsoi, A. C., Chau, R., Hagenbuchner,M., Lee, V. C. S.,(2010), Unsupervised and Supervised Learning of Graph Domains in Innovations in Neural Information Paradigms and Applications, Springer, to appear.
  2. Han, Shuguo,Ng, W. K., Wan, Li, Lee, V. C. S., (2009), Privacy-Preserving Gradient Descent Methods, IEEE Transactions on Knowledge and Data Engineering, accepted on 30 May 2009, in press.
  3. Dang, Xuan Hong, Lee, V.C.S., Nk, W. K., Ong, K. L., (2009),Incremental and Adaptive Clustering Stream Data over Sliding Window, accepted on 24 May 2009 for springer LNCS, proceedings of DEXA 2009, in press.
  4. Barnes, M. B., Lee, V. C. S.(2009), "Effects of Macroeconomic and Firm-Specific Factors on Shareholder Wealth: Some Australian Evidence", Journal of Wealth Management (institutional Investor Journals, New York), Volume 12, No. 1, Autumn Issue, pp.41-61.
  5. Phua, C., Gayler,R., Lee, V. C. S. Lee, Smith-Mile,K. (2009) On the Commual Analysis Suspicious Scoring for Identity Crime in Streaming Credit Applications, European Journal of Operational Research, vol. 195, 1 June issue, pp. 595-612.
  6. Dang, X. H., Lee, V. C. S., Ng, W. K., Ciptadi, A., Ong, K. L.(2009), An EM-based Algorithm for Clustering Data Streams in Sliding Windows, in Proceedings of Database System for Advance Applications Conference 2009 at The University of Queensland, Brisbane, April, published in Lecture Notes in Computer Sciences LNCS 5463, pp230-235.
  7. Taniar,D., Rahayu,W., Lee, V. C. S, Daly, O. (2008) Exception Rules in Association Rule Mining, in Applied Mathematics and Computation, Volume 205, Issue 2, 15 November, Pages 735-750.
  8. Al-Mutawah,K., Lee, V. C. S., Cheung, Y. (2008), A New Multi-Agent System Framework for Tacit Knowledge Management in Manufacturing Supply Chains, Journal of Intelligent Manufacturing, Accepted on 29 May.
  9. Dang, X. H., Ng, W. K., Ong, K. L., Lee, V. C. S. (2009), Frequent Sets Mining in Data Stream Environments, in Wang, J. (editor), Encyclopedia of Data Warehousing and Mining, 2nd edition, pp. 901-906.
  10. Al-Mutawah,K., Lee, V.C.S. (2008), An Evaluation Framework For Supply Chains Based on Corporate Culture Compatibility, in Supply Chain Theory and Application, edited by Vedran Kordic, I-Tech Education and Publishing, Vienna, Austraia, pp. 59-72.
  11. Lee, V.C. S., Chen, J., Ng, W. K., Ong, K. L., Tan,T. Y. (2008), Exploring Service Dynamics with Science and Innovative Technology, Proceedings of 5th IEEE International Conference on Service System and Service Management, 30 June -2 July 2008, Melbourne, IEEE Catalog Number: CFP08599-CDR, ISBN:978-1-4244-1672-1
  12. Barnes, M. B., Lee, V. C. S. (2007). An empirical study of AI-based multiple domain models for selecting attributes that drive company wealth, Soft Computing Journal, vol. 11, No. 12 (A Fusion of Foundations, Methodologies and Applications, 20 March (online first), ISSN 1432-7643(print October) 1433-7479, pp.1193-1198.
  13. Barnes, M. B., Lee, V. C. S. (2007). Feature Selection Techniques, Company Wealth Asessment and Intra-Sectoral Firm Behaviours, LNCS 4681-Advanced Intelligent Computing Theories and Applications, edited by De-Shuang Huang, Laurent Heutte, Marco Loog, ISSN 0302-9743, August, pp.134-146.
  14. Lee, V. C. S., Wong, H. T. (2007). A Multivariate Neurofuzzy System for Multicurrency Risk Management Decision Making, Neuro-Computing Journal, vol. 70, Issues 4-6, pp.942-951.
  15. Wan,Li, Ng, Wee-Keong, Han, Shuguo, Lee, V. C. S. (2007). Privacy-Preservation for Gradient Descent Methods, in Proceedings of 13th ACM SIGKDD International Conference on Knowledge Discovery for Gradient Descent Methods, KDD2007 Research Track Paper, Auguist 12-15, 2007, San Jose, CA, USA pp 775-783.
  16. Seng, D.,Cheung, Y., Bal, J., Lee, V.C.S. (2006). A business model for collaborative commerce marketplace, S. Spencer and A. Jenkins (eds), 17th Australian Conference on Information Systems, Adelaide, S. A., Australia, 6-8 December 2006, Australian Association for Information Systems, Adelaide, SA, ISBN:978-0-9458417-1-6, pp 1-8.
  17. Lee, V. C. S., Shao, Linyi (2006). Estimating Potential IT security level - An alternative quantitative approach, IEEE Security and Privacy Magazine, vol. 4, issue 6, 2006, pp.44-52.
  18. 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.
  19. Wu, Weiping, Lee, V. C. S., Tan, T. Y. (2006). Data preprocessing and data parsimony in corporate failure forecast modelsevidence from Australian materials industry, Accounting and Finance Journal, vol. 46, no.2, June 2006, pp. 327-345.
  20. Lee, V. C. S., Yang, Xingjian (2005). Development and Test of an Artificial Immune Abnormal Trading Detection System for Financial Market, Advances in Intelligent Computing, Lecture Notes in Computer Science, edited by De-Shuang Huang et al, August, ISSN 0302-9743, 10 pages.
  21. Lee, V. C. S., Sim, A. T. H., (2005). A Hybrid Artificial Intelligent-Based Criteria-Matching with Classification Algorithm, in forthcoming proceeding of ICNC-FSKD, Lecture Notes in Artificial Intelligence, LNAI, vol., ISSN 0302-9743, 10 pages.
  22. Fang, V., Lee, V. C. S., Lim, Y. C. (2005). Volatility Transmission between Stock and Bond Markets: Evidence from US and Australia, in forthcoming proceedings of International Conference on Intelligent Data Engineering and Automated Learning, Lecture Notes in Computer Science, ISSN 0302-9743, 8 pages.
  23. Wu, Weiping, Lee, V. C. S., Tan, T. Y. (2004). Data-preprocessing in AI-based Classification Models: Contributions of Domain Knowledge and Stacking Generalization, Lecture Notes in Artificial Intelligence, LNAI, vol. 3339, ISSN 0302-9743, pp.1049-1054.
  24. Lee, V. C. S., Sim, A. T. H. (2004). A Hybrid Fuzzy-Neuro Model for Preference-based Decision Analysis, proceedings of 5th International Conference on Intelligent Data Engineering and Automated Learning, Exeter in UK, Lecture Notes in Computer Science, LNCS 3177, ISSN 0302-9743, pp. 449-456.
  25. Phua, C., Alahakoon, D., Lee, V. C. S. (2004). Minority Report in Fraud Detection: Classification of Skewed Data, SIGKDD Explorations, Volume 6, Issue 1, pp. 50-59.
  26. Lee, V. C. S., Sim, A. T. H., (2004). An Algorithm for AI-based Model adaptation to Dynamic Data to appear in Lecture Notes in Computer Science, proceedings of 5th International Conference on Intelligent Data Engineering and Automated Learning, Exeter in UK, LNCS 3177, ISSN 0302-9743, pp. 232-240.
  27. Fang, V., Lee, V. C. S., (2004). Credit Risks of Interest Rate Swap - A Comparative Study of CIR and Monte Carlo Simulation Approach, Lecture Notes in Computer Science, proceedings of 5th International Conference on Intelligent Data Engineering and Automated Learning, Exeter in UK, LNCS 3177, ISSN 0302-9743, pp. 780-787.
  28. Denny, Lee, V.C. S., (2004). An Alternative Methodology for Mining Seasonal Pattern Using Self-Organising Map, PAKDD, LNAI 3056, Springer, ISSN 0302-9743, pp.424- 430.
  29. Fang, V., Lee, V. C. S., (2003). Testing the Expectations Hypothesis for interest rate term structure: Some Australian Evidence, Lecture Notes in Computer Science, ISSN 0302-9743, Springer, ISBN 3-540-40156-3, vol. 2669, pp.189-198.
  30. 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 2001, pp.209-214.
  31. 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, pp.45-53.
  32. Plus 90+ (from years 1987 to 2000)SCI/SSCI journal articles and refereed SCI-expanded conference proceedings(not listed here).

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. In his PhD research, he 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, strategic and operational business management experience. He worked as business 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, mostly in Singapore. His industrial experience includes planning, design, and implementation 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 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, research and 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 teaching and research active academic staff. His current research includes: complex (interdisciplinary multiparadigm) adaptive systems (including artificial immune 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.

--------------------------------------------------------------------------------Email vincent.lee@infotech.monash.edu.au, Phone +61 3 9905 2360 Fax +61 3 9905 5159 Location Building 63 - Room 122, Clayton Campus


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