Dr Wang is a Senior Lecturer in Computer Science at UniSC. His research focuses on machine learning, with particular expertise in deep representation learning, knowledge graphs, and reinforcement learning. His work spans learning robust state representations from visual observations, differentiable planning in spatially variant environments, network embedding with generative adversarial approaches, time-series forecasting, POI recommendations, and medication recommendations. He is also actively involved in applied research on mobile computing, IoT/IoV systems, and telepresence robotics, including IoT-enabled stroke rehabilitation using smart wearable devices and machine learning, which has practical applications in health, aged care, and assistive technologies.
Dr Wang previously worked as a Lecturer at the Beijing Institute of Technology before joining UniSC in 2015. He holds a PhD from the University of Melbourne. His research has been published in top-tier AI venues including AAAI, IJCAI, and KDD, as well as leading journals such as IEEE TNNLS and ACM TOIS. His team received the Best Paper Award — Runner-Up at the 2024 IEEE Conference on Artificial Intelligence (CAI).
Dr Wang is committed to delivering engaging, student-centred education. He actively supervises Higher Degree by Research (HDR) students and welcomes enquiries from motivated candidates interested in machine learning, mobile and smart computing, and IoT/IoV.
Professional memberships
- ACM
- IEEE
- CCF
Awards
- Best Paper Award — Runner-Up, 2024, IEEE Conference on Artificial Intelligence (CAI)
- Best Paper Award, 2013, 32nd International Performance Computing and Communications Conference (IPCCC 2013).
- 1st Prize, 2012, (China) National Undergraduate Information Security Contest.
- Faculty Advisor Award, 2012, (China) National Undergraduate Information Security Contest.
Identifiers
Potential research projects for HDR and Honours students
- Machine learning
- Analysis and mining of mobile data
Research grants
| Project name | Investigators | Funding body | Year | Focus |
|---|---|---|---|---|
| Cloud-based Long-lived and Instance-intensive Workflow Management System | Mingzhong Wang, CI | Chinese National Science Foundation (A$44,000) | 2012–2014 | Management of large scale workflows in cloud and service environments |
|
Service Component Architecture-based Business Management System |
Mingzhong Wang, CI |
China Electronics Technology Group Corporation |
2013 |
Design and implementation of business management systems with Service Component Architecture |
Research areas
- Machine learning
- Knowledge graphs and deep reinforcement learning
- Mobile and IoT systems
- Telepresence robots
Teaching areas
- Data Management and Analysis
- Programming
- Machine Learning
Program coordinator
Dr Mingzhong Wang’s specialist areas of knowledge include machine learning in general and knowledge graphs and deep reinforcement learning in specific. He is also interested in mobile computing and telepresence robots.