Paul Kwan
Associate Professor, School of Science and Technology
Qualifications
BCompSc (Cornell), MCompSc (U. Arizona), PhD (U. Tsukuba)
Contact
| Email: | paul.kwan@une.edu.au |
| Room: | Maths and Computers (C26) 166 |
| Phone: | 02 6773 2034 (or +61 2 6773 2034 overseas) |
| Fax: | 02 6773 3312 |
| Homepage: | http://turing.une.edu.au/~kwan |
Additional:
Member, School of Science and Technology Research Committee
Computer Science Seminar Coordinator
I received my BSc and MSc degrees in Computer Science from Cornell University and The University of Arizona in 1986 and 1988, respectively. In 2003, I was awarded the PhD degree in Advanced Engineering Systems by The University of Tsukuba, Japan. My current research interests include Evolutionary Computation, Agent-based Modelling, Computer Vision, Security Informatics, Pattern Recognition and Data Mining. I am a Senior Member of IEEE and a Senior Member of ACM. I also serve as an Associate Editor for the Human-centric Computing and Information Sciences (SpringerOpen) journal.
Areas of Teaching
Introduction to Programming and Professional Practice
Knowledge Management Systems
Data Mining
The Linux/Unix Programming Environment
Web and Internet Programming
Research interests
ICT Security and Bio-security
Biometric Authentication (Fingerprint Recognition), Multisensory Data Fusion for Network Intrusion Detection, Agent-based Modeling of Livestock Diseases and Invasive Pests Spread
Computer Vision and Image Processing
Content-based Image Retrieval, Shape Analysis and Matching, Digital Cultural Heritage
Pattern Recognition and Machine Learning
Feature Selection, Dimensionality Reduction, Evolutionary Algorithms
Biomedical Informatics
Traditional Chinese Medicine Clinical Data Mining, Computational Genetic Analysis
Selected publications
Detterer D., Kwan P. and Gondro C., A Co-evolving Memetic Wrapper for Prediction of Patient Outcomes in Traditional Chinese Medicine Informatics, Special Issue of Frontiers of Computer Science (Eds J Luo, Y-S Koh and J Bailey), Springer (DOI: 10.1007/s11704-012-2959-0), 2012.
Poon S., Poon J., McGrane M., Zhou X., Kwan P., Zhang R., Liu B., Gao J., Loy C., Chan K. and Sze D., A Novel Approach in Discovering Significant Interactions from TCM Patient Prescription Data, International Journal of Data Mining and Bioinformatics, Vol. 5:4, pp. 353-368, 2011.
Kwan P., Kameyama K., Gao J. and Toraichi K., Content-Based Image Retrieval of Cultural Heritage Symbols by Interaction of Visual Perspectives, International Journal of Pattern Recognition and Artificial Intelligence, Vol. 25:5, pp. 1-31, 2011.
Gao J., Kwan P. and Shi D., Sparse Kernel Learning with LASSO and Its Bayesian Inference, Neural Networks, Vol. 23, pp. 257-264, 2010.
Kwan P., Gao J., Guo Y. and Kameyama K., A Learning Framework for Adaptive Fingerprint Identification using Relevance Feedback, International Journal of Pattern Recognition and Artificial Intelligence, Vol. 24:1, pp. 15-38, 2010.
Gao J., Kwan P. and Huang X., Comprehensive Analysis for the Local Fisher Discriminant Analysis, International Journal of Pattern Recognition and Artificial Intelligence, Vol. 23:6, pp. 1129-1143, 2009.
Gao J., Kwan P. and Guo Y., Robust Multivariate L1 Principal Component Analysis and Dimensionality Reduction, Neurocomputing, Vol. 72, pp. 1242-1249, 2009.
Guo Y., Gao J. and Kwan P., Twin Kernel Embedding, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 30:8, pp.1490-1495, 2008.
Kwan P.W.H., Kameyama K. and Toraichi K., On a Relaxation-Labeling Algorithm for Real-time Contour-based Image Similarity Retrieval, Image and Vision Computing, vol. 21(3), pp. 285-294, 2003.
Toraichi K., Kwan P.W.H., Katagishi K., Sugiyama T., Wada K, Mitsumoto M., Nakai H. and Yoshikawa F., On a Fluency Image Coding System for Beef Marbling Evaluation, Pattern Recognition Letters, vol. 23(11), pp. 1277-1291, 2002.