Maxime Cordeil

My research explores how Virtual and Augmented Reality technologies enable users to better understand and interact with complex data. I also focus on the engineering and evaluation of interactive visualisation systems and the design of Augmented Reality interfaces for industry applications. I have authored 60+ publications in top-ranked Human Computer Interaction and Information Visualisation conference proceedings and journals, including in ACM CHI, ACM UIST, ACM ISS, IEEE InfoVis/TVCG, IEEE VR. In 2021 and 2022, I was nominated Australia's Field Leader researcher in Computer Graphics (The Australian Research magazine yearly ranking). Data Visualisation and Visual Analytics: I am interested in improving the way people create data visualisation, query them and understand what's in the data using visual analytics techniques. I have expertise in visualisation and analytics for multidimensional data, network (graph) data, spatial data and time series. I also have expertise in 3D visualisation, e.g., with point clouds and CT/MRI images. Mixed Reality and Computer Graphics: My main focus in Mixed Reality and Computer Graphics is in Immersive Analytics: I explore, design, implement and evaluate Immersive Visualisation tools and techniques to help people better understand their data. I am also interested in exploring how leveraging embodied interaction through spatial interactions, stereoscopic vision, haptics, tangible interaction and the space around users can help the sensemaking and decision-making process. Human-Computer Interaction: A large portion of my research work is to design, evaluate and understand the impact of novel interactions, systems and devices on people's tasks.

[2026] Can Subliminal Rotary Haptic Cues Influence Responses in a Binary Choice Task? - Tatsuzawa, Kiichiro, Cordeil, Maxime, Buckingham, Gavin and Knibbe, Jarrod (2026). Can Subliminal Rotary Haptic Cues Influence Responses in a Binary Choice Task?. Lecture Notes in Computer Science. (pp. 229-238) Cham: Springer Nature Switzerland. doi: 10.1007/978-3-032-32230-2_17 [2026] Criminator: An Easy-to-Use XR "Crime Animator" for Rapid Reconstruction and Analysis of Dynamic Crime Scenes - Pooryousef, Vahid, Besançon, Lonni, Cordeil, Maxime, Flight, Chris, Ross, Alastair M, Bassed, Richard and Dwyer, Tim (2026). Criminator: An Easy-to-Use XR "Crime Animator" for Rapid Reconstruction and Analysis of Dynamic Crime Scenes. 2026 Conference on Human Factors in Computing Systems-CHI, Barcelona Spain, Ap