Professor Paul Kwan

Professor in Computer/Computational Science - School of Science and Technology

Paul Kwan

Phone: +61 2 6773 2034

Email: paul.kwan@une.edu.au

Biography

I am a Professor and Head of Computer Science at The University of New England in Armidale, NSW. I have a PhD in Advanced Engineering Systems, specialized in Intelligent Interaction Technologies, from The University of Tsukuba in Japan, a BSc and an MSc degree, both in Computer Science, from Cornell University and University of Arizona in the United States. My research fields include Artificial Intelligence, Computer Vision, Computational Modelling, Image Processing and Machine Learning, and their applications to digital agriculture, human and animal biometrics, computer simulation and analysis of animal diseases and invasive pests spread. I have received external research grants from organisations including the Australian Research Council Discovery Project, the Australia-China Science and Research Fund, Department of Agriculture, Animal Health Australia, and Australian Sheep CRC. I have been a Member of Australian Computer Society (ACS) since 2006, Senior Member of Association of Computing Machinery (ACM) since 2008 and Senior Member of IEEE since 2010. I am currently an Associate Editor for the International Journal of Wavelets, Multiresolution and Information Processing (World Scientific) and an Associate Editor for the Human-centric Computing and Information Sciences Journal (SpringerOpen).

Qualifications

BCompSc (Cornell, USA), MCompSc (U. Arizona, USA), PhD (U. Tsukuba, Japan)

Awards

  • Unit Monitoring Commendation for high overall student satisfaction and low attrition (UNE)

- Object Oriented Programming (Period 2 - Internal mode) in 2017

- Web and Internet Programming (Period 2 - Internal mode) in 2014

- Introduction to Programming and Professional Practice (Period 1 - Internal mode) in 2013

- Introduction to Programming and Professional Practice (Period 2 - Internal and External modes) in 2012

- The Linux/Unix Programming Environment (Internal mode) in 2011

- Knowledge Management Systems (Internal mode) in 2010

- Data Mining (Internal mode) in 2010

  • 2015 Vice-Chancellor’s Scholar Nominated Academic (UNE)
  • 2014 Vice-Chancellor's Scholar Nominated Academic (UNE)
  • Top 10 Nominee for The UniJobs Lecturer of the Year Award at The University of New England in 2009

Teaching Areas

Artificial Intelligence
Data Science
Introductory Programming (Java and Python)

Primary Research Area/s

Artificial Intelligence; Computer Vision; Image Processing; Computational Modelling ; Machine Learning

Research Interests

Selected Grants

  • 2018, Paul Kwan and Gregory Falzon, Global Connections Fund - Priming Grant project on "Partnership with a SME that specializes in farm management software and services in China", awarded AUD $7,000 by the Australian Academy of Technology and Engineering (ATSE)
  • 2015-2018, Paul Kwan, David Paul and William Billingsley, "Research Data Platform" project, awarded AUD $496,087 by the Australian Sheep CRC
  • 2015-2018, Paul Kwan, William Billingsley and David Paul, "Livestock Productivity App" project, awarded AUD $667,480 by the Australian Sheep CRC
  • 2013, Brian Kinghorn, Cedric Gondro and Paul Kwan, ARC Discovery Project (DP130100542) on "Evolution, Selection and Estimation of Polygenic Epistatic Networks in Quantitative Traits", awarded AUD $246,000 by the ARC
  • 2012, Junbin Gao, Daming Shi, Terry Bossomaier, Manoranjan Paul, Paul Kwan and Liyeng Zheng, "Collaboration with Harbin Institute of Technology in the Field of Computer-Enhanced Surgical Systems" project, awarded AUD $38,000 by the Australian Government Department of Industry Innovation, Science, Research and Tertiary Education
  • 2012, Paul Kwan, "A Massively-Parallel Agent-based Simulation of a Screwworm Fly Invasion of Australia" project, awarded AUD $16,000 by Animal Health Australia
  • 2012, Paul Kwan, Prime Minister’s Education Assistance Program for Japan (awarded AUD $5,214 as short-term exchange researcher at University of Tsukuba to support educational rebuilding and encourage enhanced collaboration)
  • 2011, 2012 & 2013, Paul Kwan and ASM Sajeev, "Computational Modelling of Animal Disease Spread" project, awarded AUD $99,000, AUD $10,000 & AUD $5,000 by the Australian Government Department of Agriculture, Fisheries and Forestry
  • 2010, Paul Kwan, ASM Sajeev, Mark Evered and Ashoka Jayawardena, "Massive Agent-based Modelling of Animal Disease Spread" project, awarded AUD $68,903 by the Australian Government Department of Agriculture, Fisheries and Forestry

Research Supervision Experience

  • I have successfully supervised more than 12 PhD, 3 Master’s and 4 Honours students (mostly as the principal supervisor) to completion. Among the Honours graduates, 3 were University Medallists while all 4 received First Class Honours at their graduation. Three of my PhD graduates have since taken up academic positions in Australian tertiary institutions, while another is a Research Scientist with CSIRO in Canberra, Australia. At present, I am the principal/co-supervisor of 4 PhD and 1 Master of Science students.

Publications

Selected Publications

  • Bishop, James C., Greg Falzon, Mark Trotter, Paul Kwan, and Paul D. Meek (2019), Livestock vocalisation classification in farm soundscapes, Computers and Electronics in Agriculture. https://doi.org/10.1016/j.compag.2019.04.020
  • Al Kindi, Khalifa, Paul Kwan, Nigel Andrew, and Mitchell Welch (2019), Modelling the Potential Effects of Climate Factors on Dubas bug (Ommatissus lybicus) presence/absence and its infestation rate: A case study from Oman,Pest management science. https://doi.org/10.1002/ps.5420
  • Abdulaziz Aljaloud, Nicolas Gromik, Paul Kwan and William Billingsley (2019), Saudi undergraduate students’ perceptions of the use of smartphone clicker apps on learning performance, Australasian Journal of Educational Technology, Vol. 35(1), pp.85-99.  https://doi.org/10.14742/ajet.3340
  • Leifeng Guo, Mitchell Welch, Robin Dobos, Paul Kwan and Wensheng Wang (2018), Comparison of Grazing Behaviour of Sheep on Pasture with Different Sward Surface Heights using an Inertial Measurement Unit Sensor, Computers and Electronics in Agriculture.  https://doi.org/10.1016/j.compag.2018.05.004
  • Houssem Chatbri, Keisuke Kameyama, Paul Kwan, Suzanne Little and Noel E. O'Connor (2018), A novel shape descriptor based on salient keypoints detection for binary image matching and retrieval, Multimedia Tools and Applications. https://doi.org/10.1007/s11042-018-6054-x
  • Leifeng Guo, Mitchell Welch, Robin Dobos, Paul Kwan and Wensheng Wang (2018), Comparison of Grazing Behaviour of Sheep on Pasture with Different Sward Surface Heights using an Inertial Measurement Unit Sensor, Computers and Electronics in Agriculture. https://doi.org/10.1016/j.compag.2018.05.004
  • Nipun Agarwal, Paul Kwan and David Paul (2018), Merger & Acquisition Pricing using Agent Based Modelling. Economics, Management and Financial Markets, Vol. 13(1), pp. 84-89, Addleton Academic Publishers, New York. https://doi.org/10.22381/EMFM13120184
  • 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. https://doi.org/10.1016/j.cropro.2016.11.033
  • 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).  https://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. https://doi.org/10.1016/j.envsoft.2015.11.015
  • 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. https://doi.org/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. https://doi.org/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. https://doi.org/10.1142/S0218001411008816
  • Junbin Gao, Paul Kwan and Daming Shi (2010), Sparse Kernel Learning with LASSO and Its Bayesian Inference, Neural Networks, Vol. 23, pp. 257-264. https://doi.org/10.1016/j.neunet.2009.07.001
  • 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. https://doi.org/10.1142/S0218001410007841
  • 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.  https://doi.org/10.1142/S0218001409007478
  • Junbin Gao, Paul Kwan and Yi Guo (2009),  Robust Multivariate L1 Principal Component Analysis and Dimensionality Reduction, Neurocomputing, Vol. 72, pp. 1242-1249.  https://doi.org/10.1016/j.neucom.2008.01.027
  • 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.  https://doi.org/10.1109/TPAMI.2008.74
  • 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.  https://doi.org/10.1016/S0262-8856(02)00159-2
  • 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.  https://doi.org/10.1016/S0167-8655(02)00077-6

Memberships

2006 - Current     Member, Australian Computer Society (ACS)

2008 - Current     Senior Member, Association for Computing Machinery (ACM)

2010 - Current     Senior Member, Institute of Electrical and Electronics Engineers (IEEE)

Related Links

Curriculum Vitae