Speakers

Academic Speaker

Dr. Maxime Cordeil

Senior Lecturer (Data Visualisation, HCI, VR/AR) - The University Of Queensland

Dr. Maxime Cordeil is a Senior Lecturer in the Electrical Engineering and Computer Science (EECS) School at The University of Queensland (UQ), Brisbane, Australia. He is a recognised international leader in Immersive Analytics research. Immersive Analytics is a field at the intersection of Extended Reality, Human-Computer Interaction and Data Visualisation and Visual Analytics research. Before joining UQ, he was a Postdoc and then a Lecturer in the Immersive Analytics research group at Monash University. He obtained his PhD from the University of Toulouse and the Higher French Institute of Aeronautics and Space, France in 2013. In 2021 and 2022, Dr Cordeil has been recognised as Field Leader in Computer Graphics, for his work on Visualisation, by The Australian Research Magazine yearly ranking. He has authored over 60 publications in major conferences and journals in the domains of data visualisation and analytics, human-computer interaction and XR, which include IEEE VIS/TVCG, ACM CHI/UIST, ISMAR and IEEE VR.

Immersive Analytics: Spatial Computing Paradigms for Data Understanding

Spatial computing introduces new ways to perceive, interact with, and derive insights from both 3D and multidimensional, abstract data. Advances in Extended Reality (XR), including Virtual Reality (VR) and Augmented Reality (AR), along with AI, are transforming data visualisation and analysis. On one hand, beyond the 2D screen, immersive environments offer more display space, direct interaction, and a greater sense of presence with data. On the other hand, AI provides capabilities such as automated exploratory data analysis, or classification and segmentation of data that deeply transform the way we handle data. This keynote talk explores how immersive technologies and AI merge to enhance human-in-the-loop approaches for data-related tasks.

I will first briefly introduce my previous work in Immersive Analytics, which includes the visualization of abstract and 3D data in multiple XR scenarios. I will then present my recent work, demonstrating how these concepts apply to new domains. This includes:

Interactive 3D Point Cloud Classification: My work on immersive and interactive 3D point cloud classification through a dialogue with a machine learning model in Virtual Reality, to support a classification task.
Immersive Autopsies: Interactive AR and VR visualizations for anatomical and medical data, allowing for exploration and understanding of 3D structures.
Immersive Data Visualization for Runners: Immersive environments that provide runners with real-time data insights, transforming performance metrics into understanding.

Through these applications, I will highlight how spatial computing, by integrating immersive visualization, AI, and interaction, can support human understanding and decision-making with data.

Industry Speaker 1

Lokender Tiwari

Senior Scientist, TCS Research

Industry Speaker 2

Dipanjan Das

Senior Scientist, TCS Research

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