About Me


I am a Senior Lecturer of Computer Science at Deakin University (Burwood Campus) Melbourne, Australia. My research is done under the umbrella of Deakin Applied Machine Learning Lab.

My main research interests are in Machine Learning and Data Science. I am mainly interested in Tabular Data Generation, Controlled Learning, Knowledge-guided Machine Learning, Scalable Classification Algorithms, Feature Engineering, Interpretable Machine Learning Models and Applied Data Science.

I also work as a lead Machine Learning consultant at DataScienceWorks Pty Ltd, Australia.

Disclaimer: The photo is outdated, and show me of the time when I used to have hairs.


 


Recent Updates


  • July 2024 - Started the role of Editor for Big Data Research Journal

  • November 2023 - Invited talk on: Can we trust Machine Learning Models? at Deakin Cyber Conference, Melbourne 2023 [pdf]

  • October 2023 - Gave an invited talk on: Can we trust Machine Learning Models? Who watches the watchers? at Australian Cyber Conference, Melbourne 2023 CyberCon2023

  • September 2023 - Our paper MEG: Masked Ensemble Tabular Data Generator accepted in IEEE ICDM 2023, as a regular paper (acceptance rate: 9.3%)

  • September 2023 - I will be giving an invited talk at: First International Conference on AI Generated Content (AIGC2023) in Shanghai, China

  • June 2023 - Our paper Aspect-based Automated Evaluation of Dialogues accepted to be published in KBS, Knowledge-based Systems (KBS) Journal

  • June 2023 - Our paper Improving Neural Network’s Robustness on Tabular Data with D-Layers accepted in DMKD, Data Mining and Knowledge Discovery Journal -- We will be presenting this at ECMLPKDD2023

  • February 2023 - Our paper Leveraging Generative Models for Combating Adversarial Attacks on Tabular Datasets accepted in PAKDD 2023, as a full paper (acceptance rate: 17%)

  • December 2022 - Conducted a tutorial on Recent and Emerging Trends in Tabular Data Generation in IEEE ICDM 2022 [pdf] [Official Page]

  • October 2022 - Given the role of Academic Director (Teaching) at School of Information Technology, Deakin University.

  • May 2022 - Conducted a tutorial on Harnessing the Power of GAN-based Models for Tabular Data Generation in PAKDD 2022

  • May 2022 - Received a research funding of $30,000 from DSTG under AI4DM program.

  • January 2022 - Our paper Discretization inspired defence Algorithm against Adversarial Attacks on Tabular Data accepted in PAKDD 2022, as a full paper (acceptance rate: 19.3%)

  • December 2021 - Our paper GANBLR++: Incorporating Capacity to Generate Numeric Attributes and Leveraging Unrestricted Bayesian Networks accepted in SIAM SDM 2022, as a full paper (acceptance rate: 27.8%)

Available Positions


    Contact me for details

Announcement for Prospective PhD Students


  • Scholarships at Deakin are limited and hence very competitive. A lot of applicants have quality A* publications. In order to maximize your chances of getting a scholarship, I advise you get in touch with me a lot earlier than your expected start date.

    I strongly recommend you to visit my Lab Deakin Applied Machine Learning Lab as a visiting scholar (during summer break or during trimester) and work under close supervision of an existing Lab member. This will help you get some research experience as well as writing an excellent research proposal.

  • To be eligible for consideration of Scholarship at Deakin:
    • You must have an H1 Hons degree (or equivalent),
    • It is strongly recommended to have some research experience resulting in some publication (See above point),
    • You must have background in Computer Science, Mathematics, Engineering or related disciplines.


  • If you have an external funded scholarship, get in touch with me directly.

In News


Conference Roles


  • Organizing Committee member:
  • Program Committee member:
    • KDD2016, KDD2017, KDD2018, KDD2019, KDD2020, KDD2021, KDD2022, KDD2023
    • AAAI2022
    • IJCAI-ECAI2021, IJCAI-ECAI2022, IJCAI2023
    • CIKM2018
    • ECMLPKDD2020, ECMLPKDD2021, ECMLPKDD2022
    • PAKDD2018, PAKDD2019, PAKDD2020, PAKDD2021, PAKDD2022, PAKDD2023
    • ICDM2019, ICDM2020, ICDM2021, ICDM2022, ICDM2023

Journal Duties


  • Reviewer for Journals: