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 (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. A self-assessment tool is available to gauge your competitiveness. You need to meet the English 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 your CV, Academic Transcripts, and a Research Proposal covering research motivation, research problems, research objectives and questions, a brief review of the most relevant literature, your proposed methodology, the type of data you need, and expected 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, please refer to how and when to apply for a preferred research program.
Gong Y; Wang M; Zhang Y; Zhang W; Pang S, 2024, 'A Unified Deep Learning-Based EEG Biometric Authentication System for Cross-Session Scenarios', in Advanced Data Mining and Applications 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3–5, 2024, Proceedings, Part IV, Springer Nature, pp. 48 - 62, http://dx.doi.org/10.1007/978-981-96-0840-9_4
Book Chapters | 2024
Jiang A; Zhang Y; Mo H; Wang M; Zhang W, 2024, 'Learning and Mapping Academic Topic Evolution Evolving - Topics in the Australian National Disability Insurance Scheme', in Advanced Data Mining and Applications 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3–5, 2024, Proceedings, Part I, Springer Nature, pp. 131 - 145, http://dx.doi.org/10.1007/978-981-96-0811-9_10
Journal articles | 2025
Becherer M; Hussain OK; Hartog FD; Zhang Y; Zipperle M, 2025, 'A realistic trust model evaluation platform for the Social Internet of Things (REACT-SIoT)', Journal of Network and Computer Applications, 243, http://dx.doi.org/10.1016/j.jnca.2025.104302
Journal articles | 2025
He H; Sun N; Tani Bertuol M; Zhang Y; Jiang J; Jha S, 2025, 'Can LLM-Generated Misinformation Be Detected: A Study On Cyber Threat Intelligence', Future generations computer systems, 173, pp. 107877 - 107877, http://dx.doi.org/10.1016/j.future.2025.107877
Journal articles | 2025
Prior DD; Seshadrinath SM; Zhang M; McCormack M, 2025, 'Measuring sustainable development goals (SDGs) in higher education through semantic matching', Studies in Higher Education, 50, pp. 1556 - 1569, http://dx.doi.org/10.1080/03075079.2024.2386625
Journal articles | 2025
Zhao M; Hussain O; Zhang Y; Saberi M; Leshob A, 2025, 'Benchmarking large language models for supply chain risk identification: an extended evaluation within the LARD-SC framework', Service Oriented Computing and Applications, http://dx.doi.org/10.1007/s11761-025-00474-7
Journal articles | 2024
Becherer M; Hussain OK; Zhang Y; Den Hartog F; Chang E, 2024, 'On Trust Recommendations in the Social Internet of Things - A Survey', ACM Computing Surveys, 56, pp. 1 - 35, http://dx.doi.org/10.1145/3645100
Journal articles | 2024
Wei J; Yang Z; Luo Q; Zhang Y; Qin L; Zhang W, 2024, 'High-Order Local Clustering on Hypergraphs', ICST Transactions on Scalable Information Systems, 11, http://dx.doi.org/10.4108/eetsis.7431
Journal articles | 2024
Zipperle M; Zhang Y; Chang E; Dillon T, 2024, 'PARGMF: A provenance-enabled automated rule generation and matching framework with multi-level attack description model', Journal of Information Security and Applications, 81, pp. 103682, http://dx.doi.org/10.1016/j.jisa.2023.103682
Journal articles | 2023
Zhang Y; Chand S, 2023, 'Impact of COVID-19 on Utilisation of Funds by People With Disabilities: Lessons Drawn From the Australian National Disability Insurance Scheme', International Journal of Health Policy and Management, http://dx.doi.org/10.34172/ijhpm.2023.7663
Journal articles | 2023
Zhang Y; Wang M; Zipperle M; Abbasi A; Tani Bertuol M, 2023, 'RelRank: A Relevance-based Author Ranking Algorithm for Individual Publication Venues', Information Processing and Management, 60, pp. 103156, http://dx.doi.org/10.1016/j.ipm.2022.103156
Journal articles | 2023
Zhang Y; Wang M; Zipperle M; Abbasi A; Tani M, 2023, 'Ranking academic authors for publication venues based on relevance-based co-authorship network', Science Talks, 7, pp. 100231 - 100231, http://dx.doi.org/10.1016/j.sctalk.2023.100231
Journal articles | 2022
Chand S; Zhang Y, 2022, 'Learning from machines to close the gap between funding and expenditure in the Australian National Disability Insurance Scheme', International Journal of Information Management Data Insights, 2, http://dx.doi.org/10.1016/j.jjimei.2022.100077
Journal articles | 2022
Tani Bertuol M; Zhang Y; Zimmermann K; Piracha M, 2022, 'Higher Education Expansion and the Rise of China in Economics Research', China Economic Review (Amsterdam), 74, pp. 101813, http://dx.doi.org/10.1016/j.chieco.2022.101813
Journal articles | 2022
Zhang Y; Wang M; Saberi M; Chang E, 2022, 'Analysing academic paper ranking algorithms using test data and benchmarks: an investigation', Scientometrics, http://dx.doi.org/10.1007/s11192-022-04429-z
Journal articles | 2021
Koutroumpinas P; Zhang Y; Wallis S; Chang E, 2021, 'An Artificial Intelligence Empowered Cyber Physical Ecosystem for Energy Efficiency and Occupation Health and Safety', Energies, 14, pp. 4214 - 4214, http://dx.doi.org/10.3390/en14144214
Journal articles | 2021
Zhang Y; Saberi M; Chang E, 2021, 'Towards solution-oriented knowledge recommendation', ACM SIGWEB Newsletter, 2021, pp. 1 - 8, http://dx.doi.org/10.1145/3460304.3460308
Zhang Y; Wang M; Saberi M; Chang E, 2020, 'Knowledge fusion through academic articles: a survey of definitions, techniques, applications and challenges', Scientometrics, http://dx.doi.org/10.1007/s11192-020-03683-3
Journal articles | 2020
Zipperle M; Becherer M; Gottwalt F; Zhang Y; Wang K, 2020, 'An ai-based automated continuous compliance awareness framework (CoCAF) for procurement auditing', Big Data and Cognitive Computing, 4, pp. 1 - 14, http://dx.doi.org/10.3390/bdcc4030023
Journal articles | 2020
Zipperle M; Becherer M; Gottwalt F; Zhang Y; Wang K, 2020, 'An ai-based automated continuous compliance awareness framework (CoCAF) for procurement auditing', Big Data and Cognitive Computing, 4, pp. 1 - 14, http://dx.doi.org/10.3390/bdcc4030023
Journal articles | 2019
Zhang Y; Wang M; Gottwalt F; Saberi M; Chang E, 2019, 'Ranking scientific articles based on bibliometric networks with a weighting scheme', Journal of Informetrics, 13, pp. 616 - 634, http://dx.doi.org/10.1016/j.joi.2019.03.013
Journal articles | 2019
Zhang Y; Wang M; Saberi M; Chang E, 2019, 'From Big Scholarly Data to Solution-Oriented Knowledge Repository', Frontiers in Big Data, 2, pp. 38, http://dx.doi.org/10.3389/fdata.2019.00038
Journal articles | 2018
Zhang Y; Saberi M; Chang E, 2018, 'A semantic-based knowledge fusion model for solution-oriented information network development: a case study in intrusion detection field', Scientometrics, 117, pp. 857 - 886, http://dx.doi.org/10.1007/s11192-018-2904-6
Wang M; Boshuijzen-van Burken C; Sun N; Kasra Kermanshahi S; Zhang Y; Hu J, 2024, 'VirtuGuard: Ethically Aligned Artificial Intelligence Framework for Cyberbullying Mitigation', Singapore, presented at 2024 IEEE Conference on Artificial Intelligence (CAI), Singapore, 23 June 2024, http://dx.doi.org/10.1109/CAI59869.2024.00271
Conference Papers | 2024
Zhang Y; Bui HT; Zipperle M; Buick F; Chand S; Hussain O; Wang M; Mo H; Zhang W, 2024, 'Perception Gaps Between Hashtag Stakeholders on X (Twitter) - Application on the Australian National Disability Insurance Scheme (#NDIS)', in Proceedings 2024 IEEE International Conference on E Business Engineering Icebe 2024, pp. 117 - 124, http://dx.doi.org/10.1109/ICEBE62490.2024.00027
Conference Papers | 2024
Zhao M; Hussain O; Zhang Y; Saberi M; Leshob A, 2024, 'Enhancing Supply Chain Risk Management with Large Language Models: Software Prototyping and Interactive Visualization', in Proceedings 2024 IEEE International Conference on E Business Engineering Icebe 2024, pp. 284 - 291, http://dx.doi.org/10.1109/ICEBE62490.2024.00051
Conference Papers | 2024
Zhao M; Hussain O; Zhang Y; Saberi M, 2024, 'Optimizing Supply Chain Risk Management: An Integrated Framework Leveraging Large Language Models', in 2024 IEEE Conference on Artificial Intelligence (CAI), IEEE, Singapore, presented at 2024 IEEE Conference on Artificial Intelligence (CAI), Singapore, 23 June 2024, http://dx.doi.org/10.1109/CAI59869.2024.00192
Conference Papers | 2022
Zhang Y; Wang M; Zipperle M; Abbasi A; Saberi M, 2022, 'S-index: Significance of Academic Authors to Individual Publication Venues', in Proceedings of the 2022 IEEE International Conference on Dependable Autonomic and Secure Computing International Conference on Pervasive Intelligence and Computing International Conference on Cloud and Big Data Computing International Conference on Cyber Science and Technology Congress Dasc Picom Cbdcom Cyberscitech 2022, http://dx.doi.org/10.1109/DASC/PiCom/CBDCom/Cy55231.2022.9927818
Conference Papers | 2022
Zipperle M; Gottwalt F; Zhang Y; Hussain O; Chang E; Dillon T, 2022, 'A Conceptual Framework for Automated Rule Generation in Provenance-based Intrusion Detection Systems', in Proceedings of the 2022 IEEE International Conference on Dependable Autonomic and Secure Computing International Conference on Pervasive Intelligence and Computing International Conference on Cloud and Big Data Computing International Conference on Cyber Science and Technology Congress Dasc Picom Cbdcom Cyberscitech 2022, http://dx.doi.org/10.1109/DASC/PiCom/CBDCom/Cy55231.2022.9927863
Conference Papers | 2020
Wang K; Zhang Y; Chang E, 2020, 'A conceptual model for blockchain-based auditing information system', in ACM International Conference Proceeding Series, pp. 101 - 107, http://dx.doi.org/10.1145/3409934.3409949
Conference Papers | 2020
Zhang Y; Wang M; Saberi M; Chang E, 2020, 'Towards Expert Preference on Academic Article Recommendation Using Bibliometric Networks', Singapore, presented at Pacific-Asia Conference on Knowledge Discovery and Data Mining, Singapore, 11 May 2020, http://dx.doi.org/10.1007/978-3-030-60470-7_2
Conference Papers | 2020
Zipperle M; Gottwalt F; Becherer M; Wang K; Zhang Y; Chang E, 2020, 'A Machine Learning and Blockchain Platform for Operation Risk Management - An Application to Real-time Risk Awareness System Development', Springer Singapore, India, pp. 1053 - 1061, presented at Virtual International Conference on Futuristic Communication and Network Technologies, India, 06 November 2020, http://dx.doi.org/10.1007/978-981-16-4625-6_104
Conference Papers | 2019
Zhang Y; Saberi M; Wang M; Chang E, 2019, 'K3S: Knowledge-Driven Solution Support System', in Proceedings of the AAAI Conference on Artificial Intelligence, Honolulu,Hawaii, USA, pp. 9873 - 9874, presented at Thirty-Third AAAI Conference on Artificial Intelligence AAAI 19, Honolulu,Hawaii, USA, 27 January 2019, http://dx.doi.org/10.1609/aaai.v33i01.33019873
Conference Papers | 2018
Zhang Y; Saberi M; Chang E; Abbasi A, 2018, 'Solution and Reference Recommendation System Using Knowledge Fusion and Ranking', in Proceedings 2018 IEEE 15th International Conference on E Business Engineering Icebe 2018, pp. 31 - 38, http://dx.doi.org/10.1109/ICEBE.2018.00016
Zhang Y; Saberi M; Chang E, 2017, 'Semantic-based lightweight ontology learning framework: A case study of intrusion detection ontology', in Proceedings - 2017 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2017, Leipzig, Germany, pp. 1171 - 1177, presented at International Conference on Web Intelligence, Leipzig, Germany, 23 August 2017 - 26 August 2017, http://dx.doi.org/10.1145/3106426.3109053
2025-2027 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 Engineering (ICEBE 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
My Teaching
ZBUS2333 - Data Analytics and Visualisation
ZBUS8503 - Workforce Planning Research
ZBUS3104 - Business Capstone
ZBUS8312 - Logistics Intelligence and Big Data Analysis