Dr Zhang is a lecturer of data science at the School of Business, UNSW Canberra.
His research interests contain text mining and analysis, knowledge and information management, social computing, and bibliometric analysis.
He has applied his research to interdisciplinary areas and focused on publishing in prestige journals and conference, including Information Processing & Management, Journal of Informetrics, China Economic Review, Studies in...view more
Dr Zhang is a lecturer of data science at the School of Business, UNSW Canberra.
His research interests contain text mining and analysis, knowledge and information management, social computing, and bibliometric analysis.
He has applied his research to interdisciplinary areas and focused on publishing in prestige journals and conference, including Information Processing & Management, Journal of Informetrics, China Economic Review, Studies in Higher Education, AAAI, CIKM, and PAKDD, etc.
Scholarships of $38,438 per annum (2025 rate) are available to support PhD students for 3.5 years and Masters by Research students for 2 years.
My Grants
- 2025-2026 CI in the project "Delivering net-zero energy buildings: A next-generation hybrid energy system with demand-side management", TRaCE Lab to Market fund, $1,057,105 in total.
- 2022-2024 Lead CI of Business Incentive Research funding. $95,000 in total.
- 2024 CI of UNSW Global Research and Innovation Partnerships. $20,000.
- 2020-2024 Supervisor of two Cyber Security Cooperative Research Centre (CSCRC) sponsored PhD. $120,000 in total
My Awards
- 2024 Best Paper Award (Runner-up) in the 20th International Conference on Advanced Data Mining and Applications (ADMA 2024)
- 2024 Excellent Paper Award in the 20th IEEE International Conference on e-Business Engineering (ICEBE 2024)
My Research Supervision
Supervision keywords
Areas of supervision
Deep learning for knowledge management;
Graph learning for social network analysis;
Data mining for heterogeneous network analysis;
Industry-led information systems and information management;
Advanced logistics and supply chain management.
Currently supervising
Knowledge retrieval from grey literature based on contextual representation and reasoning
Lightweight modeling of actions for financial and business applications
Federated learning and natural language processing to combat healthcare insurance fraud
Trust recommendations in the Social Internet of Things (SIoT)
Provenance-based intrusion detection systems
Closed workforce turnover predictors
Tier-based supply chain visibility for informed risk and opportunity management
Blockchain- and fuzzy logic-based carbon offset management
My Teaching
ZBUS2333 - Data Analytics and Visualisation
ZBUS8312 - Logistics Intelligence and Big Data Analysis
https://orcid.org/0000-0002-8747-2603