Rate My Professor Joe Liu

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).