Rate My Professor Joe Liu

Jiazhou 'Joe' Liu is a Lecturer (early career researcher) in the Faculty of Information Technology at Monash University, affiliated with the Embodied Visualisation research group in the Department of Human-centred Computing. He received his Doctor of Philosophy in Computer Science from Monash University in 2023, with a thesis titled Immersive View Management for Interactive Data Visualisation supervised by Professor Tim Dwyer. He previously earned a Master of Information Technology from Monash University in 2019, with a minor thesis on Small Multiple Visualisation for BIM Data in the Immersive Environment, and a Bachelor of Science in Computer Science from the University of New South Wales in 2013. Following his PhD, Liu held a postdoctoral position as a Teaching and Research Fellow at Monash University. He has six years of teaching experience at Monash University and the University of Melbourne, delivering courses such as Research Methods, Data Visualisation, User Interface Design and Usability, Web Fundamentals, Mobile Application Development, and Full-stack Development for undergraduate and postgraduate students. He supervises Master's minor theses and Bachelor's final-year projects.

Liu's research interests encompass human-computer interaction and human-AI interaction, including interactive data visualisation, embodied interaction and full-body interaction, augmented reality and virtual reality, spatial memory, and expert-AI interaction in digital health. He leads faculty-funded projects on Automating Brain Tumour Segmentation and Visualisation using Deep Learning in Augmented Reality and collaborates on industry-funded initiatives like Construction On-Site Safety via Computer Vision, Large Language Models, and Mixed Reality. Key publications include DataDancing: An Exploration of the Design Space for Visualisation View Management for 3D Surfaces and Spaces (CHI 2023, with Ens, Prouzeau, Smiley, Nixon, Goodwin, Dwyer); Design and evaluation of interactive small multiples data visualisation in immersive spaces (IEEE VR 2020, nominated for Best Paper, with Prouzeau, Ens, Dwyer); Investigating the Effects of Physical Landmarks on Spatial Memory for Information Visualisation in Augmented Reality (ISMAR 2024, with Satriadi, Ens, Dwyer); AR-Facilitated Safety Inspection and Fall Hazard Detection on Construction Sites (ISMAR-Adjunct 2024, with Rao, Ke, Dwyer, Tag, Haghighi); and GestureExplorer: Immersive Visualisation and Exploration of Gesture Data (CHI 2023, with Li, Cordeil, Topliss, Piumsomboon, Ens). His awards include Monash FIT ECA Seed Grant (2024-2025), Postgraduate Publication Award (2022), Faculty Graduate Research Completion Award (2022), Australian Research Training Program Scholarship (2019-2022), and Information Technology Postgraduate Scholarship (2018-2019).