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Associate Professor C. Peng Lam

Associate Professor C. Peng Lam

Associate Professor C. Peng Lam

Associate Professor - Software Eng

Telephone: (61 8)  9370 6914  
Email: c.lam@ecu.edu.au   
Campus: Mount Lawley  
Room: ML  

 

Responsibilities

Course Coordination:

  • Postgraduate Coordinator for the School of Computer and Security Science
  • Course Coordinator for Master of Science (Computer Science - by Research Course code: Q45, J16)
  • Course Coordinator for Doctor of Information Technology (Course Code: Q58, L14)
  • Course Coordinator for Doctor of Philosophy (Course Code: L10)

Current Teaching

Software Engineering.

Background / Employment History

Peng's teaching and research focus is in the area of search-based software engineering, image analysis and computational intelligence within the School of Computer and Security Science. She is the co-leader of the Artificial Intelligence and Optimisation Research Cluster.

Staff Qualifications

  • Doctor of Philosophy (Computer Science). Curtin University of Technology. Thesis Title: An Investigation into Using Function-based Primitives and Active Vision Strategies for Hypothesis Refinement.
  • Post Graduate Diploma in Computer Science (with Distinction). Curtin University of Technology.
  • Graduate Diploma in Computing (with Distinction). Curtin University of Technology.
  • Graduate Diploma in Education (with Distinction). University of Malaya.
  • Bachelor of Science (Honours). University of Malaya.

Professional Memberships

Institute of Electrical and Electronics Engineers (IEEE)

Research

Research Interests

  • Software Testing, Health Information Technology, Search-based Software Engineering, Data Mining, Computational Intelligence, Image Processing

Current Research Areas

  • Search-based Software testing, Mobile phone remote health diagnosis, Data mining, Bioinformatics, Computational red teaming

Recent Research Grants

  • 2011- 2013 R. Martins, S. Laws, M. Wenk, V. Gupta, J. Rodrigues, C. P. Lam, Discovery and validation of Alzheimer’s disease biomarkers in human plasma Funding bodies: NHMRC - $352524
  • Remote blood pressure monitoring for pre-eclampsia, Nortel Development Grant Scheme (C. P Lam & M. Masek) (2011), $25,000
  • 2009 ECU-Nortel Development Grants: Versatile Care @ Residential Environment (V-C@RE™),(C. P Lam, P. Hingston, A. Tan), $49,374
  • 2003-2006 ARC Linkage:Alarm Management - Silence is Golden, (C. P. Lam, P. Lee, S. Venkatesh), $70,000
  • 2003-2006 BP Kwinana:Alarm Management - Silence is Golden, (C. P. Lam, P. Lee, S. Venkatesh), $24,000
  • 2001-2003 ARC SPRIT: Configuration Management Techniques for Promoting Reuse in process Design and Modelling (C. P. Lam, P. Lee, B. Newell), $66,876
  • 2001-2003 Daesim Pty Ltd: Configuration Management Techniques for Promoting Reuse in process Design and Modelling (C. P. Lam, P. Lee, B. Newell), $15,000
  • 2001-2003 WA State Government's program for Centres of Excellence in Industry-focused R&D: Centre for Intelligent Process Operations Management (P. Lee, S. Venkatesh, C. P. Lam, P. Bahri, M, Allen, G. West), $992,185
  • 2000-2003 AJ Parker CRC for Hydrometallurgy: Intelligent Systems (C. P. Lam), $210,000

Recent Publications

Book Chapters

  • Lam, C. P., “Computational Intelligence for Functional Testing”, in Artificial Intelligence Applications for Improved Software Engineering Development: New Prospects”, Editor (F.Meziane and S. Vadera), IGI Global, Hershey, new York, USA, 2010.
  • Kordic, S., Lam, C. P. , Xiao, J., Li, H., “Patterns Relevant to the Temporal Data-Context of an Alarm of Interest”, in Dynamic and Advanced Data Mining for Progressing Technological Development: Innovations and Systemic Approaches, Editor (ABM Ali and Yang Xiang), pp. 18-39, IGI Global, Hershey, new York, USA, 2010.

Refereed Journal Articles

  • Maxville V., Armarego J., Lam, C. P., “ Applying a reusable framework for software selection” IET Software, 3 (5). pp. 369-380, 2009. http://dx.doi.org/10.1049/iet-sen.2009.0096
  • Kordic, S., Lam, C. P., Xiao, J., Li, H., “Using Event-intervals to Analyze Alarm Sequences in a Chemical Plan”, Journal of Frontiers of Computer Science and Technology, Vol. 3, No. 3, pp. 267 – 281, 2009.
  • Lam C. P., Li H, Dong Xu, “A Model-Centric Approach for the Management of Model Evolution in Chemical Process Modelling”, Computers and Chemical Engineering, Vol. 31, pp. 1633 – 1662, 2007 (JCR impact factor 2006: 1.404). ISSN: 0098-1354
  • Zurada, J., Lam, C. P., “ A Preliminary Investigation of Decision Tree Models for Classification AccuracyRates and Extracting Interpretable Rules in the Credit Scoring Task: A Case of the German Data Set”, Review of Business Information Systems, Vol. 12, No. 3, pp.45 - 54, 2008. ISSN:1534-665X, Published by The Clute Institute For Academic Research, Colorado, USA

Conference Papers

  • Ranjeet, T.R., Hingston, P, Lam, C.P., & Masek, M., “Analysis of Key Installation Protection using Computerized Red Teaming”, The Thirty Fourth Australasian Computer Science Conference (ACSW 2011), January 17-20, Perth, Australia, 2011.
  • Ranjeet, T.R., Masek, M., Hingston, P., and Lam, C.P., “The Effects of Diversity Maintenance on An Intransitive Numbers Problem”, Australasian Joint Conference on Artificial Intelligence, AI 2011, Perth, December 2011.
  • Lee, C.S., Lam, C.P., & Masek, M., “Rough-fuzzy Hybrid Approach for Identification of Bio-markers and Classification on Alzheimer’s Disease Data”, In 11th IEEE International Conference on Bio-Informatics and Bio-Engineering (BIBE), October 2011, Taichung, Taiwan, p84-91, 2011.
  • Dang, V., Lam, C.P., & Lee, C.S., “Incorporating Genetic Algorithm into Rough Feature Selection for High Dimensional Biomedical Data”, In IEEE the 3rd International Symposium on IT in Medicine and Education (ITME 2011) , Guangzhou, China, Dec. 2011, p283-287, 2011. Farooz, U., Lam, C. P., “Evolving the Quality of a Model-Based Test Suite”, International Conference on Software Testing, Verification and Validation (ICST 2009), Denver, USA
  • Farooz, U., Lam, C. P.,” A Max-Min Multiobjective Technique to Optimize Model Based Test Suite”, 10th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2009)
  • Masek, M., Lee, C.S., Lam, C.P., Tan, K.T., & Fyneman, A. (2009), "Remote home-based ante and post natal care", Proceedings of the 11th IEEE International Conference on e-Health Networking, Applications & Services, Sydney, Australia, 16-18th December 2009.
  • Lee, C.S., Masek, M., Lam, C.P., & Tan, K.T. (2009), "Towards higher accuracy and better noise-tolerance for fetal heart rate monitoring using Doppler ultrasound", TENCON 2009, Singapore, 23-26th November 2009.
  • Lee, C.S., Masek, M., Lam, C.P., & Tan, K.T. (2009), "Advances in fetal heart rate monitoring using smart phones", Proceedings of the 9th International Symposium on Communication and Information Technology (ISCIT) 2009, Incheon, South Korea.
  • Farooz, U., Lam, C. P., Li, H., “Towards Automated Test Sequence Generation”. 19th Australian Software Engineering Conference, Perth, WA., pp. 441-450, 25-28th March 2008. ISSN:1530-0803
  • Maxville, V., Lam, C. P., Armarego, J., “Supporting Component Selection with a Suite of Classifiers”, World Congress on Computational Intelligence 2008, HongKong, pp. 1-6 June, 2008.
  • Kordic, S., Lam, C. P., Xiao, J., Li, H., “Analysis of Alarm Sequences in a Chemical Plant”, 4th International Conference on Advanced Data Mining and Applications of Lecture Notes in Computer Science, Chengdu, pp. 135-146, 8-10 October 2008. ISBN: 978-3-540-88191-9 http://dx.doi.org/10.1007/978-3-540-88192-6_14, (Publisher: Springer Berlin / Heidelberg) ISSN: 0302-9743 (Print) 1611-3349 (Online))
  • Kordic, S., Lam, C. P., Xiao, J., Li, H., “A Data-Driven Approach for Finding the Threshold Relevant to the Temporal Data Context of an Alarm of Interest ", Tenth Pacific Rim International Conference on Artificial Intelligence (PRICAI-08)”, Lecture Notes in Computer Science, pp. 985-990, Hanoi, Vietnam, December 15-19, 2008. ISBN: 978-3-540-89196-3 DOI: 10.1007/978-3-540-89197-0_95 (Publisher: Springer Berlin / Heidelberg, ISSN: 0302-9743 (Print) 1611-3349 (Online)) .
  • Farooz, U., Lam, C. P., “Mutation Analysis for the Evaluation of AD Models ", International Conference on Innovation in Software Engineering (ISE'2008), December, 2008. (Vennia, Australia, 9-12/12/2008, Publisher: IEEE Computer Society Press)
  • Farooz, U., Lam, C. P., Li, H., "Transformation Methodology for UML 2.0 Activity Diagram into Colored Petri Nets", IASTED Advances in Computer Science Technology, 2007.
  • Kordic,  S., Lam, C. P., Xiao, J., Li, H., “Associative data mining for alarm groupings in chemical processes”, The 2007 International Conference on Intelligent Systems and Knowledge Engineering, Chengdu, China, pp. 191 – 198 2007. (ISBN:978-90-78677-04-8).
  • Lam, C. P., Xiao, J., Li, H., “Ant Colony Optimisation For Generation Of Conformance Testing Sequences Using A Characterising Set”, Proceedings of the third IASTED Conference on Advances in Computer Science and Technology, pp. 140-146, 2007. ISBN: 978-0-88986-656-0

Research Student Supervision

Current

Students that I am currently supervising /co-supervising:

  • Tirtha Ranjeet (Doctor of Information Technology): Investigation and Development of the Optimization Strategies for Automated Red Teaming
  • Savo Kordic (Doctor of Philosophy): Alarm Management – Silence is Golden
  • Vinh Dang (Doctor of Philosophy): Feature selection techniques for selecting relevant feature subsets in biological data
  • Dmitry Zatselyapin (Doctor of Philosophy): Automatic generation of Test Oracles for Web Services
  • Samaneh Rastegari (Doctor of Philosophy): Network Security Hardening Using Co-Evolutionary Algorithms

Recent

Completions:

  • Suchira Chaigusin (Doctor of Information Technology, 2011): An Investigation into the Use of Neural Networks for the Prediction of the Stock Exchange of Thailand
  • Usman Farooq (Doctor of Philosophy, 2011): Model Based Test Suite Minimization Using Metaheuristics
  • Valerie Maxville (Doctor of Philosophy, 2011):Strategies for the Intelligent Selection of Components