Research grants
The DBIL members have obtained over $4 million research funding from the ARC and industry over the last 2 years (2018 onwards). Some externally funded projects are as follows.
- Longxiang Gao and Yong Xiang, Blockchain Enabled Al Driven E-Marking Platform, TopExcel Pty Ltd, 2020-2023
- Yong Xiang, Longxiang Gao, Jiong Jin, and Tom Luan, Privacy-preserving Fog information system in infrastructure-deficient environments, Linkage Projects 2019 (LP190100594), Australian Research Council, Australia, 2020-2023
- Longxiang Gao, William Yeoh, and Yong Xiang, Improving security and efficiency of educational supply chain system using blockchain technology, Ausmotive Group Pty Ltd, Australia, 2020-2023
- Longxiang Gao and William Yeoh, Improving Security and Authentication of National Authentication Systems using Blockchain Technology, Cyber Security CRC 2019
- Longxiang Gao and Yong Xiang, Continual Data Release Using Differential Privacy for Data Analysis, Cyber Security CRC 2019
- Yong Xiang and Longxiang Gao, Deakin Blockchain Innovation Lab Project, HealthChain Technology Pty Ltd, Australia, 2018-2021
- Longxiang Gao and Yong Xiang, Bot attack and defence in online social media using unsupervised machine learning, Sandstone Pty Ltd, Australia, 2018-2021
- Yong Xiang, Wanlei Zhou, Gleb Beliakov, and Longxiang Gao, Novel audio watermarking techniques for tracing multimedia piracy, ARC Linkage Projects (LP170100458), Australian Research council, Australia, 2018-2021
- Longxiang Gao, Business process Development, Information Management and Data Analytics for Performance Benchmarking, Aurecon, 2018
- Mohammad Reza Nosouhi, Shui Yu, and Yong Xiang, Customizable location privacy protection in social networks, Top-up Scholarship, Data61, Australia, 2017-2020
- Mike Tan, Yong Xiang, Bruce Hinton, Indivarie Ubhayaratne, and Bob Varela, Gap analysis of smart monitoring and data analytics for fuel infrastructural networks, Future Fuels CRC Ltd, Australia, 2019
- Yong Xiang and Longxiang Gao, Decision-making systems for developing and improving online games, Beijing Shandesitong Technology, China, 2018-2019
- Yong Xiang and Xuhui Zhang, Addressing data quality and sparseness for machine learning, Aurecon Group, Australia, 2018
- Yong Xiang, Longxiang Gao, and Atul Sajjanhar, Information oriented fog servers in national parks, Telematics Trust, Australia, 2017-2018
- Longxiang Gao and Yong Xiang, Developing a location aware fog computing prototype used on vehicles, Flag Explore, Australia, 2017-2018