- Pioneering work in several new areas, such as the application of data mining techniques to study face-to-face collaboration
- Has research profiles on Google Scholar, LinkedIn, Researchgate, and other platforms
Research Experience
- Formerly a data visualization lecturer at the University of Technology, Sydney (UTS)
- Worked at the Connected Intelligence Centre (CIC) at UTS
- Research focus includes applying data mining techniques to understand how people learn and collaborate, and using emerging technologies such as interactive surfaces
- Research achievements include developing a system to add user-identification to a regular large display using a depth sensor, and the first multi-tabletop classroom used to run authentic collaborative activities associated with the curricula
Education
- Doctorate: 2014, from the Computer Human Adapted Interaction Research Group (CHAI) at the University of Sydney, supervised by Prof. Simon Buckingham Shum
- Worked on Prof. Peter Goodyear’s Australian Research Council (ARC) Laureate Fellowship program – ‘Learning, technology and design: architectures for productive networked learning’ at the Centre for Research on Computer Supported Learning and Cognition (CoCo) in the University of Sydney
Background
- Research Interests: Human-Computer Interaction (HCI, CSCW), Learning Analytics, Artificial Intelligence (AIED, EDM), and Collaborative Learning (CSCL)
- Professional Field: Educational Data Scientist
- Introduction: Currently researching, designing, and deploying new tools to support teaching and learning analytics across different physical and digital spaces. His goal is to find the best blended learning pedagogies and leverage emerging technologies to provide continuous support for learning on and off campus.
Miscellany
- Other Interests: Transdisciplinary efforts in HCI and Data Science
- Believes these transdisciplinary endeavors have great potential to design more holistic user experiences, gain richer understanding of the complexity of human activities, and create new interaction spaces