Associate Professor Raymond Wong
Associate Professor

Associate Professor Raymond Wong

  • PhD (Hong Kong University of Science and Technology, 1997)
  • MPhil (Hong Kong University of Science and Technology, 1994)
  • BSc (The Australian National University, 1993)
Engineering
Computer Science and Engineering

I am currently the Director of Online Education and an Associate Professor in the School of Computer Science & Engineering at UNSW Sydney. I am also the Data Science Consultant at UNSW Mark Wainwright Analytical Centre (Stats Central). I have published 56 journal papers, 170 conference papers, and 2 US granted patents in various fields of computer science. I have received 8 best research/paper awards and 4 industry/professional awards. I have supervised a total of 25 PhDs, 3 MPhils, and 65 honours thesis students to completion. Six of my supervised honours students graduated with prestigious University Medals. From 2005-2011, I was the Database Research Group Leader at NICTA (Data61/CSIRO). I have co-founded several technology startup companies. I received my BSc from Australian National University; and MPhil and PhD from Hong Kong University of Science & Technology. 

 

Phone
+61 2 9065 9925
  • Journal articles | 2022
    Wang R; Sun D; Wong R, 2022, 'Symbolic Minimization on Relational Data', IEEE Transactions on Knowledge and Data Engineering, http://dx.doi.org/10.1109/TKDE.2022.3222827
    Journal articles | 2022
    Zhang H; Wong RK; Chu VW, 2022, 'Hybrid Variational Autoencoder for Recommender Systems', ACM Transactions on Knowledge Discovery from Data, vol. 16, http://dx.doi.org/10.1145/3470659
    Journal articles | 2021
    Cheong SH; Si YW; Wong RK, 2021, 'Online force-directed algorithms for visualization of dynamic graphs', Information Sciences, vol. 556, pp. 223 - 255, http://dx.doi.org/10.1016/j.ins.2020.12.069
    Journal articles | 2021
    Li T; Wu Y; Wu F; Mohammed S; Wong RK; Ong KL, 2021, 'Sleep pattern inference using IoT sonar monitoring and machine learning with Kennard-stone balance algorithm', Computers and Electrical Engineering, vol. 93, http://dx.doi.org/10.1016/j.compeleceng.2021.107181
    Journal articles | 2021
    Wong KY; Wong RK, 2021, 'Big data quality prediction informed by banking regulation', International Journal of Data Science and Analytics, vol. 12, pp. 147 - 164, http://dx.doi.org/10.1007/s41060-021-00257-1
    Journal articles | 2014
    Wang J; Jin T; Wong RK; Wen L, 2014, 'Querying business process model repositories - A survey of current approaches and issues', World Wide Web, vol. 17, pp. 427 - 454, http://dx.doi.org/10.1007/s11280-013-0210-z
    Journal articles | 2014
    Yang H; Wen L; Wang J; Wong RK, 2014, 'CPL+: An improved approach for evaluating the local completeness of event logs', Inf. Process. Lett., vol. 114, pp. 607 - 610, http://dx.doi.org/10.1016/j.ipl.2014.06.001
    Journal articles | 2009
    Choi RH; Wong KR, 2009, 'Efficient filtering of branch queries for high-performance XML data services', Journal of Database Management, vol. 20, pp. 58 - 83

Recent Australian grants:

  • 2020 - 2021: Non-invasive early detection of ovarian cancer, Ovarian Cancer Res Foundation ($135,000)
  • 2020 - 2021: Fibroblast factor for cardiovascular disease, NSW Health ($100,000)
  • 2018 - 2018: Faculty Infrastructure Grants (GPU machines), UNSW FRG ($100,000)
  • 2015 - 2019: Social Media Monitoring & Analytics, Data61 ($250,000)
  • 2012 - 2015: Context-aware Recommendation, CSIRO ($250,000)
  • 2011 - 2014: Spatiotemporal Data Analysis, NICTA ($180,000)

  • 2016 ARC UNSW Supervisor Award (for Postgraduate Student Supervision)
  • 2016 The 13th IEEE International Conference on Services Computing – Best Student Paper
  • 2016 The 18th International Conference on Information and Communications Security – Best Paper
  • 2016 The 20th Pacific Asia Conference on Knowledge Discovery and Data Mining – Best Student Paper
  • 2009 NICTA – Richard Newton Excellence in Research Award – Finalist
  • 2009 Engineers Australia – Engineering Excellence Awards – Highly Commended (R&D)
  • 2009 Engineers Australia – Engineering Excellence Awards – Finalist (Software & Embedded Sys)
  • 2007 IEEE Consumer Communications and Networking Conference – Best Paper Award
  • 2007 IEEE Consumer Communications and Networking Conference – AT&T Prize
  • 2007 CeBIT Australia - Early Innovator Award
  • 2007 NSW Enterprise Workshop – Intellectual Property Award
  • 2006 The 17th Australasian Database Conference – Best Student Paper
  • 2005 IEEE EEE Service Award – For contributions to IEEE e-commerce and services community

I have been advising SME and large companies regarding their big data systems, data science/analytics, cloud computing and relevant technologies. I have also been involved and successfully completed numerous high-profile international technology projects, including projects in China, Hong Kong, Macau, Taiwan, Japan, Singapore, Australia and USA. My projects range from building consumer mobile apps to a total cloud infrastructure solution. For example, most recently, I was involved in the Singapore NTU SPIRIT Smart Nation Research Centre, where together with the Singapore Judiciary, successfully developed an Intelligent Case Retrieval System (ICRS). I have been advising several technology startup companies, including Intelllex, a Singapore-based AI legal tech startup. Since the year 2000, I have also been providing consultations for patent valuations / infringement and providing expert opinions for clients in Australia, USA and Asia.

My Research Supervision

I have supervised a total of 25 PhDs and 3 MPhils to graduation at UNSW.