Ang (Leon) Li


School of Information Technology and Electrical Engineering

The University of Queensland

Brisbane, Queensland 4072

My name is Ang ‘Leon’ Li, or ‘李昂’ in Chinese character. I am currently a PhD candidate at the School of Information Technology and Electrical Engineering, University of Queensland in Australia. My supervisors are Dr. Maxime Cordeil, A/Prof. Gianluca Demartini and A/Prof. Stephen Viller.

Prior to my PhD candidature at UQ, I completed my Bachelor’s Degree in Computer Science Advanced from Monash University with a first-class honour. My honours thesis concerned the Visualisation and Analysis of Gesture Data in Immersive Environments. I had much pleasure of being supervised by Dr. Barrett Ens and Dr. Maxime Cordeil at Monash University’s Data Visualisation and Immersive Analytics Lab (Now the Embodied Visualisation Research Group).

My research interests revolve around the field of Human-Centred Interaction with a focus on Immersive Analytics. My current research topic explores data visualisation and interaction in augmented/virtual environments to support in-situ and ad-hoc decision-making while the user is in motion.


Jul 16, 2023 I have a poster titled “A Visual Survey of In-Situ Running Analytics” accetped at IEEE VIS 2023
Jul 16, 2023 I will become a tutor for DECO2300/7230, semester 2, 2023 at the University of Queensland.
Apr 22, 2023 I am heading to Hamburg, Germany for CHI'23!
Apr 9, 2023 After nearly a year of delay in visa processing, I finally commenced my PhD study at the University of Queensland this April!
Jan 14, 2023 Our paper “GestureExplorer: Immersive Visualisation and Exploration of Gesture Data” has been accepted to CHI’23!

selected publications

  1. GestureExplorer.png
    GestureExplorer: Immersive Visualisation and Exploration of Gesture Data
    Ang Li, Jiazhou Liu, Maxime Cordeil, Jack Topliss, Thammathip Piumsomboon, and Barrett Ens
    In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
  2. Preview.png
    A Visual Survey of In-Situ Running Analytics
    Ang Li, Stephen Viller, Gianluca Demartini, and Maxime Cordeil
    In , 2023