Research Team
Research Interests
Big Data Analytics, Healthcare Analysis, Data Visualization, Human Computer Interaction, Explainable AI , Social Media , Social Network/Graph , Fintech Ecosystem.
Behaviour modelling and social computing
Behaviour modelling and social computing are two fundamental research directions. Behaviour modelling is to derive user behavioural patterns, preferences, profiles from user behaviours and user generated textual data, while social computing is to analyse the social characteristics and trends demonstrated from intra-human or human-computer interactions.
Visual Data Analytics
Visualization and visual analytics have been introduced both in academia and industry: 1) to provide a clear view of users diverse behavior, transactions monitoring, premium fluctuations, and in complex everyday decision-making, 2) to characterize data, user and task, and 3) discovering imbalances and monitoring risk.
From our research group, we continuously publish research papers on these two topics and apply the developed techniques to help our industry partners with their business problems. Examples including anti-selection detection (Zurich One-Path), spam behaviour detection (Toutiao), and product/action recommendations (Yozo,https://www.yozo.com.au/). Specifically, our strengths include
- Identifying misbehaviours or abnormal behaviours from a population
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Discovering the underlying behaviour patterns in a population
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Design a new visual analytics solutions (VAS)
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Recommending actions/items based on the underlying patterns
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Techniques: topic modelling, representation learning and embedding, rule mining, sequential pattern mining, anomaly detection, time series analysis.
Student Supervision
PHD STUDNET SUPERVISION
Autumn-2024 Student Name: Risul Islam Rasel, Taylors University, Malaysia. (External Supervisor)
Thesis Title: (Will be finalized soon)
RESEARCH-BASED MASTERS SUPERVISION
Autumn-2022 Student Name: Abdul Matin, University of Technology Sydney, Australia.
Thesis Title: Artificial Intelligence of Things (AIoT) for Human Activity Recognition
Student Name: Sanjita Prome, Taylors University, Malaysia. (External Supervisor)
Thesis Title: Developing a Lie Detection Model for machine learning among young adults in Malaysia
Student Name: Md Kowsar Hossain Sakib, Taylors University, Malaysia. (External Supervisor)
Thesis Title: Interactive Data Visualization System based on Machine Leaning Findings for Lie Detection.
HONOURS STUDENT SUPERVISION
Autumn-2022 Project Title: Visual Analysis of Covid-19 impacts on Australian Logistics
Group Members: Hansen Yap, Zack Bailey
Project Title: Big Data and Artificial Intelligence to Detect Glaucoma
Group 1 Members: Yao Xie, Jieying Dong, Lei Yang, Wanrou Huang
Group 2 Members: Duc Le, Visal Hak, Songlao Sin, Gianni Bellotti, Ryzabel Lim
Group 3 Members: Walden Ip, Harsh Lodhia, Johnathan Pham
Project Title: ML for Insurance Exclusion Predictions with Visual Interpretation.
Group Members: Nicholas Smith, Harshpreet Singh, James Sprague
Spring-2021 Thesis Title: Exploring Australian Wildfire Occurrences using Interactive Visualization System
Group Members: Jiaming Zhang, UTS (Honours Thesis)
Thesis Title: Predicting Australian Wildfire Occurrences using Machine Learning Techniques
Group Members: Kye Manning Lee, UTS (Honours Thesis)
Autumn-2021 Thesis Title: Interactive Visual Analytics System for Customer Behavior Analysis
Group Members: Jiaming Zhang, Jingru Gu, Yanan Liu, Ruiyang Hu, Zuda Zhu
Spring-2020 Thesis Title: Traffic Incident Analysis using Machine Learning Techniques
Group Members: Joshua Zerafa, UTS (Honours Thesis)
Autumn-2020 Project Title: Adverse Selection Analysis in Life Insurance
Group 1 Members: Jachin Bhasme, Nayeef Chowdhury & Andrew Ellias Group 2 Members: Anthony Jong, Brendan Rong & Harris Pisani Group 3 Members: Ferdinan Gilbert, Susanto, & Marco Viera Ang