MC

Maxime Cordeil

University of Queensland

The University of Queensland, Saint Lucia QLD, Australia
4.60/5 · 5 reviews

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5.008/20/2025

Always clear, concise, and insightful.

4.005/21/2025

Creates a positive and welcoming vibe.

5.003/31/2025

Helps students see their full potential.

4.002/27/2025

Makes even the toughest topics accessible.

5.002/5/2025

Great Professor!

About Maxime

Associate Professor Maxime Cordeil is Associate Professor in Human Centred Computing in the School of Electrical Engineering and Computer Science at the University of Queensland. His research explores how Virtual and Augmented Reality technologies enable users to better understand and interact with complex data. He focuses on the engineering and evaluation of interactive visualisation systems and the design of Augmented Reality interfaces for industry applications. Cordeil has authored more than 60 publications in top-ranked Human Computer Interaction and Information Visualisation conference proceedings and journals, including ACM CHI, ACM UIST, ACM ISS, IEEE InfoVis/TVCG, and IEEE VR. Highly cited works include "The hologram in my hand: How effective is interactive exploration of 3D visualizations in immersive tangible augmented reality?" (2017, IEEE Transactions on Visualization and Computer Graphics, 315 citations), "ImAxes: Immersive axes as embodied affordances for interactive multivariate data visualisation" (2017, Proceedings of the ACM Symposium on User Interface Software and Technology, 304 citations), "Grand challenges in immersive analytics" (2021, Proceedings of the CHI Conference on Human Factors in Computing Systems, 279 citations), "DXR: A toolkit for building immersive data visualizations" (2018, IEEE Transactions on Visualization and Computer Graphics, 251 citations), "IATK: An immersive analytics toolkit" (2019, IEEE Conference on Virtual Reality and 3D User Interfaces, 193 citations), "Shared surfaces and spaces: Collaborative data visualisation in a co-located immersive environment" (2021, IEEE Transactions on Visualization and Computer Graphics, 176 citations), and recent contributions such as "Collaborative forensic autopsy documentation and supervised report generation using a hybrid mixed-reality environment and generative AI" (2024, IEEE Transactions on Visualization and Computer Graphics).

Cordeil was nominated as Australia’s Field Leader researcher in Computer Graphics by The Australian Research magazine in both 2021 and 2022. He leads the Augmented Human Operations project funded by CSIRO from 2024 to 2029 and supervises PhD students on topics including extreme analytics, haptic interaction in virtual reality, and presenting clinical AI predictions to clinicians. His expertise spans data visualisation and visual analytics for multidimensional, network, spatial, and time series data, mixed reality and computer graphics with emphasis on immersive analytics, and human-computer interaction through novel systems and devices. These contributions advance collaborative sensemaking, embodied interactions, and applications in digital health, forensics, and physical activity.

Professional Email: m.cordeil@uq.edu.au