I am a Senior Lecturer in Extended Reality, HCI and Data Visualisation at the School of Electrical Engineering and Computer Science, at the University of Queensland (UQ), Brisbane, Australia.
I work on a research initiative called Immersive Analytics. I explore, develop and evaluate interactive data visualisation in Extended Reality environments. My research revolves around studying how people collaborate, understand, analyse and make sense and decisions with data visualisations in immersive environments.
My current focus includes interactive machine learning with 3D data, decision-making in digital health, and in-situ data visualisation of physical activity data.
Currently available positions: 1 PhD Scholarship (conditions apply) - CSIRO NextGen Program (learn more, apply)
Ang Li, Charles Perrin, Jarrod Knibbe, Gianluca De Martini, Stephen Viller, Maxime Cordeil
In EuroVIS 2025 - to appear
Maxime Cordeil, Anais Servais, Guillaume Truong,Tim Dwyer,Dhaval Vyas and Christophe Hurter
Current PhD students:
Ang Li (The University of Queensland)
Monica Noselli (The University of Queensland)
Vahid Pooryoussef (Monash University)
Adrian Kristanto (Monash University)
Kingsley Stephens (University of South Australia)
Previous PhD students to completion:
Aldrich Clarence
Vahid Pooryousef, Maxime Cordeil, Lonni Besancon, Christophe Hurter, Tim Dwyer, Richard Bassed
Ang Li, Jiazhou Liu, Maxime Cordeil, Jack Topliss, Thammathip Piumsomboon, and Barrett Ens
Benjamin Lee, Arvind Satyanarayan, Maxime Cordeil, Arnaud Prouzeau, Bernhard Jenny, Tim Dwyer
A Design Space For Data Visualisation Transformations Between 2D And 3D In Mixed-Reality Environments
Benjamin Lee, Maxime Cordeil, Arnaud Prouzeau, Bernhard Jenny, Tim Dwyer
ACM CHI 2022 (Best Paper Honourable Mention Award)
Towards Immersive Collaborative Sensemaking
Ying Yang, Tim Dwyer, Michael Wybrow, Benjamin Lee, Maxime Cordeil, Mark Billinghurst, Bruce H. Thomas
Proceedings of the ACM on Human-Computer Interaction, ISS, ACM, 2022.
The Made-Axes are modular + tangible controllers for embodied interact with Mixed Reality visualisations.
ISS 2021 paper (BEST PAPER HONOURABLE MENTION AWARD)
The Embodied Axes is a tangible controller for precise interaction with 3D immersive visualisation of medical images in Augmented Reality.
IATK is a Unity-based immersive data visualisation toolkit that allows you to build custom interactive visualisations in AR and VR
ImAxes is a dataviz software in virtual reality that uses intuitive gestures to build meaningful visualisations.