Dr Yu Zhang
Lecturer
UNSW Canberra
School of Business
Dr Zhang is a lecturer of data science at the School of Business, UNSW Canberra.Ìý
His research interests contain text mining and analysis, knowledge and information management, social computing, and bibliometric analysis.Ìý
He has applied his research toÌýinterdisciplinary areas and focused on publishing in prestige journals and conference, includingÌýInformation Processing & Management, Journal of Informetrics,ÌýChina Economic Review, Studies in Higher Education,ÌýAAAI, CIKM, and PAKDD, etc.
***Scholarships of $38,438 (AUD) per annum are available for outstanding research students, including PhD, Professional Doctoral, Master by Research, and Master by Philosophy.***
Several competitive scholarships are available to support highly motivated and talented candidates. AÌýÌýis available to gauge your competitiveness. You need to meet theÌýEnglish language requirements.
Undergraduate students (Top 15%) or master’s students (Top 20%) in disciplines such as information management, asset management, and logistics are preferred, but highly capable candidates from other fields with relevant expertise are also welcome to apply.
If you are eligible and interested in working on the following (or closely related) topics, please send me yourÌýCV,ÌýAcademic Transcripts,Ìýand aÌýResearch Proposal covering researchÌýmotivation,Ìýresearch problems,Ìýresearch objectivesÌýandÌýquestions, a brief review of the most relevant literature, your proposedÌýmethodology, the type of data you need, andÌýexpected outcome.
Research Topics:
- Machine learning for information and knowledge management
- Graph data representation and heterogeneous network analysis
- Data and text mining for asset management
- Industry-led information systems and management
- Sustainable logistics and supply chain management
- Net-zero energy solutions for green buildings and transportation
For more information,Ìýplease refer toÌý³ó´Ç·ÉÌý²¹²Ô»åÌý·É³ó±ð²ÔÌýto apply for a preferred research program.
E-mail
- Publications
- Media
- Grants
- Awards
- Research Activities
- Engagement
- Teaching and Supervision
- 2015-2027 CI in the project "Online health monitoring and anomaly detection in li-ion batteries via trustworthy AI", Energy Innovation Fund, ACT Government, Australia, $1,223,891 in total.
- 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
- 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 EngineeringÌýICEBE 2024)
My Research Supervision
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
Ìý
My Teaching
ZBUS2333 - Data Analytics and Visualisation
ZBUS8503 - Workforce Planning Research
ZBUS3104 - Business Capstone
ZBUS8312 - Logistics Intelligence and Big Data Analysis