Maxime CORDEIL
Associate Professor
University of Queensland, Australia
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I am Associate Professor 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.
I'm currently involved in:
MERCADO Meetings (organiser of the workshops and seminar series)
Home | IEEE VR 2026 - Program commitee
Recent projects
Recent projects
Running with Data: a Survey of the Current Research and a Design Exploration of Future Immersive Visualisations
Running with Data: a Survey of the Current Research and a Design Exploration of Future Immersive Visualisations
Ang Li, Charles Perrin, Gianluca De Martini, Stephen Viller, Jarrod Knibbe Maxime Cordeil
In IEEE VIS 2025
Embedded and Situated Visualisation in Mixed Reality to Support Interval Running
Embedded and Situated Visualisation in Mixed Reality to Support Interval Running
Ang Li, Charles Perrin, Jarrod Knibbe, Gianluca De Martini, Stephen Viller, Maxime Cordeil
In EuroVIS 2025
The Presenter in the Browser: Design and Evaluation of Human Interactive Overlays with Web Content
The Presenter in the Browser: Design and Evaluation of Human Interactive Overlays with Web Content
Maxime Cordeil, Anais Servais, Guillaume Truong,Tim Dwyer,Dhaval Vyas and Christophe Hurter
Multimodal Technologies and Applications 2025
I currently advise the following brilliant PhD students:
Ang Li (The University of Queensland)
Monica Noselli (The University of Queensland)
Yuankun Zhu (The University of Queensland)
Yanzhuo Yang (The University of Queensland)
Adrian Kristanto (Monash University)
Kingsley Stephens (University of South Australia)
I have previously advised the following brilliant PhD students to completion:
Kadek Satriadi (Monash University)
Benjamin Lee (Monash University)
Aldrich Clarence (Monash University)
Vahid Pooryoussef (Monash University)
Past projects
Past projects
Working with Forensic Practitioners to Understand the Opportunities and Challenges for Mixed-Reality Digital Autopsy
Working with Forensic Practitioners to Understand the Opportunities and Challenges for Mixed-Reality Digital Autopsy
Vahid Pooryousef, Maxime Cordeil, Lonni Besancon, Christophe Hurter, Tim Dwyer, Richard Bassed
GestureExplorer: Immersive Visualisation and Exploration of Gesture Data
GestureExplorer: Immersive Visualisation and Exploration of Gesture Data
Ang Li, Jiazhou Liu, Maxime Cordeil, Jack Topliss, Thammathip Piumsomboon, and Barrett Ens
Deimos: A Grammar of Dynamic Embodied Immersive Visualisation Morphs and Transitions
Deimos: A Grammar of Dynamic Embodied Immersive Visualisation Morphs and Transitions
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
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-Axis: A Modular Actuated Device to Embody the Axis of a Data Dimension
The MADE-Axis: A Modular Actuated Device to Embody the Axis of a Data Dimension
The Made-Axes are modular + tangible controllers for embodied interact with Mixed Reality visualisations.
ISS 2021 paper (BEST PAPER HONOURABLE MENTION AWARD)
Embodied Axes - Tangible interaction with augmented medical imaging
Embodied Axes - Tangible interaction with augmented medical imaging
The Embodied Axes is a tangible controller for precise interaction with 3D immersive visualisation of medical images in Augmented Reality.
IATK - an immersive data visualisation toolkit
IATK - an immersive data visualisation toolkit
IATK is a Unity-based immersive data visualisation toolkit that allows you to build custom interactive visualisations in AR and VR
Data visualisation in virtual reality
Data visualisation in virtual reality
ImAxes is a dataviz software in virtual reality that uses intuitive gestures to build meaningful visualisations.
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