Professor Paul Kwan
Professor in Computer/Computational Science - School of Science and Technology
Phone: +61 2 6773 2034
Convenor, Discipline of Computer/Computational Science
Paul Kwan is currently Professor and Head of Computer Science at University of New England, Australia. He has a PhD in Engineering from University of Tsukuba in Japan, and a BSc and an MSc degree, both in Computer Science, from Cornell University and University of Arizona in the USA. His research fields include Artificial Intelligence, Computer Vision, Image Processing, Machine Learning, Pattern Recognition, Computer Modelling, and their applications to practical problems found in industrial automation, biometrics for security and surveillance, precision agriculture, assistive technologies for smart home. He has achieved successes in external competitive research grants from organizations including Australia-China Science and Research Fund, Australian Research Council Discovery Project, Australian Department of Agriculture and Water Resources, Animal Health Australia, and the Australian Sheep CRC. He is a Senior Member of IEEE, a Senior Member of ACM, a Member of AAAI, and a Member of the International Multimedia Information Retrieval Society. At present, he is serving as an Associate Editor for the International Journal of Wavelets, Multiresolution and Information Processing (World Scientific) and Associate Editor for the Human-centric Computing and Information Sciences journal (SpringerOpen).
BCompSc (Cornell, USA), MCompSc (U. Arizona, USA), PhD (U. Tsukuba, Japan)
Artificial Intelligence, Computer Vision, Image Processing, Machine Learning, Computational Modelling
Khalifa M. Al-Kindi, Paul Kwan, Nigel Andrew and Mitchell Welch. (2017), Remote sensing and spatial statistical techniques for modelling Ommatissus lybicus (Hemiptera: Tropiduchidae) habitat and population densities. PeerJ 5:e3752; DOI 10.7717/peerj.3752
Khalifa M. Al-Kindi, Paul Kwan, Nigel Andrew and Mitchell Welch (2017), Impact of environmental variables on Dubas bug infestation rate: A case study from the Sultanate of Oman, PLOS ONE (DOI: 10.1371/journal.pone.0178109)
Khalifa M. Al-Kindi, Paul Kwan, Nigel Andrew and Mitchell Welch (2017), Impacts of Human-Related Practices on Ommatissus Lybicus Infestations of Date Palm in Oman, PLOS ONE (DOI: 10.1371/journal.pone.0171103)
Khalifa M. Al-Kindi, Paul Kwan, Nigel Andrew and Mitchell Welch (2017), Modelling spatiotemporal patterns of Dubas bug infestations on Date palms in northern Oman: A Geographical Information System case study, Crop Protection, Vol. 93, pp. 113-121.
Jacob Foley, Paul Kwan, and Mitchell Welch. (2017), A Web-Based Infrastructure for the Assisted Annotation of Heritage Collections. ACM J. Comput. Cult. Herit. 10, 3, Article 14 (July 2017). http://dx.doi.org/10.1145/3012287
Richard Bradhurst, Sharon E Roche, Iain J East, Paul Kwan, Graeme M Garner (2016), Improving the computational efficiency of a spatial model of livestock disease spread and control, Environmental Modelling & Software, Vol.77, pp. 1-12 (DOI: 10.1016/j.envsoft.2015.11.015)
Richard Bradhurst, Sharon Roche, Iain East, Paul Kwan and Graeme Garner (2015), A hybrid modelling approach to simulating foot-and-mouth disease outbreaks in Australian livestock. Front. Environ. Sci. 3:17 (DOI: 10.3389/fenvs.2015.00017)
Paul Kwan, Jacob Foley and Mitchell Welch (2014), A Knowledge-Based Decision Support System for Adaptive Fingerprint Identification that uses Relevance Feedback, Knowledge-Based Systems (DOI: 10.1016/j.knosys.2014.10.005)
Mitchell Welch, Paul Kwan and A.S.M. Sajeev (2014), Applying GIS and High Performance Agent-Based Simulation for Managing an Old World Screwworm Fly Invasion of Australia, Acta Tropica, (DOI:10.1016/j.actatropica.2014.03.021)
Paul Kwan, Keisuke Kameyama, Junbin Gao and Kazuo Toraichi (2011), 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.
Junbin Gao, Paul Kwan and Daming Shi (2010), Sparse Kernel Learning with LASSO and Its Bayesian Inference, Neural Networks, Vol. 23, pp. 257-264.
Paul Kwan, Junbin Gao, Yi Guo and Keisuke Kameyama (2010), A Learning Framework for Adaptive Fingerprint Identification using Relevance Feedback, International Journal of Pattern Recognition and Artificial Intelligence, Vol. 24:1, pp. 15-38.
Junbin Gao, Paul Kwan and Xiadi Huang (2009), Comprehensive Analysis for the Local Fisher Discriminant Analysis, International Journal of Pattern Recognition and Artificial Intelligence, Vol. 23:6, pp. 1129-1143.
Junbin Gao, Paul Kwan and Yi Guo (2009), Robust Multivariate L1 Principal Component Analysis and Dimensionality Reduction, Neurocomputing, Vol. 72, pp. 1242-1249.
Yi Guo, Junbin Gao and Paul Kwan (2008), Twin Kernel Embedding, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 30:8, pp.1490-1495.
Paul Kwan, Keisuke Kameyama and Kazuo Toraichi (2003), On a Relaxation-Labeling Algorithm for Real-time Contour-based Image Similarity Retrieval, Image and Vision Computing, vol. 21(3), pp. 285-294.
Kazuo Toraichi, Paul Kwan, Kazuki Katagishi, Tetsuo Sugiyama, Koichi Wada, Mitsuru Mitsumoto, Hiroyasu Nakai and Fumito Yoshikawa (2002), On a Fluency Image Coding System for Beef Marbling Evaluation, Pattern Recognition Letters, vol. 23(11), pp. 1277-1291.
Curriculum Vitae (http://turing.une.edu.au/~wkwan2/CV-PaulKwan.pdf)