Research Areas
- Artificial Intelligence and Machine Learning Laboratory (AIML)
- Deep representation learning, Privacy and trust-aware machine learning, Complex data mining, Recommender systems, Human-AI interaction, Autonomy-oriented computing, Web intelligence, Health informatics and bioinformatics
- Big Data Analytics and Management Laboratory (BDAM)
- Machine learning for big data, Graph and spatial data management, Quey processing, Data privacy and security, Time-series data analytics
- Computer Vision and Pattern Recognition Laboratory (CVPR)
- Annotation-efficient deep learning, Biometrics security and privacy, Computer vision for creative arts, Medical image analysis, Multi-modal deep learning
- Distributed Systems and Networking Laboratory (DSAN)
- Data center networks; Cloud computing; Wireless networks; Internet of Things; Blockchain networks; Mobile and ubiquitous computing; Green networking
Faculty Profile
The Department has twenty nine staff at the ranks of Professor, Associate Professor, Assistant Professor, Research Assistant Professor, Senior Lecturer and Lecturer. All of them have PhD degrees awarded by renowned universities in Australia, Canada, Singapore, Switzerland, the United States, and Hong Kong, and are dedicated to quality teaching and research. Our academic staff also actively contribute to professional and community services.
