Dr. Minfeng Qi

Assistant Professor Master Supervisor 

Email：mfqi@cityu.edu.mo

Tel：(853)8590 2981

Office address: Room T406, Tai Fung Building, City University of Macau (Taipa) 

Educational qualifications 

2023 Doctor of Philosophy in Data Science, Swinburne University of Technology, Australia 

2019 Master of Information Systems, Monash University, Australia 

2017 Bachelor of Economics, Zhejiang Gongshang University, China 

Incumbent 

Assistant Professor, Faculty of Data Science, City University of Macau 

Teaching experience 

2021.02 – 2023.11 Monash University, course FIT9136 - Python Programming and Algorithms.

2021.02 – 2022.02 Monash University, course FIT5125 - Data Analysis and Visualization

2023.07 – 2023.12 Swinburne University of Technology, course COS30049 - Computing Technology Innovation Project

Research direction 

Blockchain Privacy

Smart Contract Security

Data Mining and Visualization

Research and publishing 

• Qi, M., Wang, Z., Chen, S., & Xiang, Y. (2024, Aug). Privacy protection for blockchain-based healthcare IoT systems: A survey. IEEE/CAA J. Autom. Sinica, vol. 11, no. 8, pp. 1757–1776, Aug. 2024 (Q1, IF：15.4)
• Qi, M., Xu, Z., Wang, Z., Chen, S., & Xiang, Y. (2022, July). Databox-based Delivery Service via Blockchain. In 2022 IEEE International Conference on Web Services (ICWS) (pp. 79-84). (Core A)
• Qi, M., Xu, Z., Jiao, T., Wen, S., Xiang, Y., & Nan, G. (2022, December). A Comparative Study on the Security of Cryptocurrency Wallets in Android System. In 2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (pp. 399-406). (Core B)
• Qi, M., Wang, Z., Wu, F., Hanson, R., Chen, S., Xiang, Y., & Zhu, L. (2021). A blockchain-enabled federated learning model for privacy preservation: System design. In Information Security and Privacy: 26th Australasian Conference, ACISP 2021, Proceedings 26 (pp. 473-489). (Core B)
• Qi, M., Xu, Z., Wang, Z., Chen, S., & Xiang, Y. (2022, May). DeDa: A DeFi-enabled Data Sharing and Trading System. In Proceedings of the Fourth ACM International Symposium on Blockchain and Secure Critical Infrastructure (pp. 47-57)
• Qi, M., Wang, Z., Chen, S., & Xiang, Y. (2022). A Hybrid Incentive Mechanism for Decentralized Federated Learning. Distributed Ledger Technologies: Research and Practice, 1(1), 1-15.