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Tinghui Li
Tinghui Li
The University of Sydney
Australia
Tinghui Li is a PhD candidate in the School of Computer Science at the University of Sydney. She earned her Bachelor's Honours degree with First-Class Honours from the University of Sydney. Her research lies at the intersection of Human-Computer Interaction, Situational Impairment, and Extended Reality, specifically investigating how different situational impairments affect mixed reality interaction and developing computational models to quantify the latent variables underlying these effects.
Xiang Li
Xiang Li
The University of Hong Kong / University of Cambridge
Hong Kong SAR / United Kingdom
Xiang Li is an incoming Assistant Professor in the Department of Data and Systems Engineering at the University of Hong Kong. He is completing his Ph.D. in Engineering at the University of Cambridge and was a Student Fellow at the Leverhulme Centre for the Future of Intelligence. His research focuses on HCI, XR, and AI-driven interactive systems. He has been a research scientist intern at Sony CSL Kyoto and a guest researcher at the University of Tokyo, and was a visiting Ph.D. researcher at the Hong Kong University of Science and Technology (Guangzhou). He previously interned at Institut Polytechnique de Paris (Télécom Paris), Carnegie Mellon University, and the Exertion Games Lab at Monash University.
Adele Tong
Adele Tong
The University of Sydney
Australia
Adele Tong is a PhD candidate in the School of Computer Science at the University of Sydney. She investigates the intersection of individualised health technology and collaborative design, with a specific focus on the unique wearable needs of people with epilepsy. Her research leverages a background in product design to bridge the gap between functional requirements and user agency, spanning the 3D printing of custom electrodes and the development of tailored customisation interfaces. She is particularly interested in how we can lower the barriers to bespoke hardware by developing tools that facilitate seamless collaboration on CAD designs.
Danyang Peng
Danyang Peng
Keio University
Japan
Danyang Peng is a PhD student at the Graduate School of Media Design, Keio University, a collaborative researcher at School of Medicine, Yokohama City University. A visiting scholar of Research Center Trustworthy Data Science and Security of UA Ruhr. Her research focuses on multimodal interaction, immersive XR experiences, and physiological sensing to support mental well-being. She is particularly interested in designing technologies that can better understand and respond to human internal states, fostering greater self-awareness and emotional well-being. Recently she aim to contribute to next-generation healthcare through the integration of medicine and engineering, developing human-centered technologies that bridge digital experiences and clinical practice.
Zheyuan Kuang
Zheyuan Kuang
The University of Sydney
Australia
Zheyuan Kuang is a MPhil student in the School of Computer Science at the University of Sydney. He works at the intersection of Human-Computer Interaction (HCI), Affective Computing, Multimodal Learning, and Extended Reality. He is particularly interested in how multimodal signals can be integrated to better understand human states in interactive settings. His long-term goal is to improve real-world human-AI interaction by developing systems that are robust, trustworthy, privacy-aware, efficient, and responsibly deployed for applications that directly affect people’s daily lives and wellbeing.
Chu Luo
Chu Luo
Great Bay University
China
Chu Luo is an Assistant Professor at Great Bay University. His research interests include Ubiquitous Computing, Software Engineering, Multimedia, and Artificial Intelligence.
Juno Kim
Juno Kim
The University of New South Wales
Australia
Juno Kim is a Full Professor in the School of Optometry and Vision Science at the University of New South Wales. His research is concerned with understanding how we perceive real-world and virtual environments. Our brain infers information about the physical properties of objects in the environment through neural signals it receives from our six senses. He seeks to identify specific patterns in sensory information that are critically important for explaining optimal perception and action in real-world scenarios. He has particular strengths in research topics on visual and vestibular neurophysiology, including the development of future technologies in head-mounted display virtual reality (HMD VR) for interactive entertainment and gamification in health.
Eduardo Velloso
Eduardo Velloso
The University of Sydney
Australia
Eduardo Velloso is an interaction technologist working as a Professor of Computer Science at the University of Sydney. His practice and research focus on interaction design for emerging technologies. He is interested in the novel user experiences that are enabled by the combination of novel input and sensing modalities, the design of new interaction devices and techniques, and the use of artificial intelligence and machine learning in interactive systems.
Anusha Withana
Anusha Withana
The University of Sydney
Australia
Anusha Withana is an Associate Professor/Associate Head of School External Engagement and an ARC Future Fellow in the School of Computer Science, Faculty of Engineering, University of Sydney, Australia, where he leads the aid-lab. Before joining USyd, he was a postdoctoral fellow at the Max Planck Institute (MPI) for Informatics, Germany. His research focuses on user-centred and collaborative design, as well as the fabrication of smart assistive and health interfaces to support communication, social well-being, education, and quality of life. This ranges from personalised computer interfaces to electronic tattoos and textiles. His research has won numerous awards, including Most Innovative Engineer 2020 from Engineers Australia.
Yiran Shen
Yiran Shen
Shandong University
China
Yiran Shen is a Full Professor at the School of Software, Shandong University. His research interests centre on Virtual Reality and Pervasive Computing, spanning signal processing, machine learning, and security and privacy in virtual and mobile systems, with a strong emphasis on human-centred computing. By leveraging the multimodal sensing capabilities of advanced mobile and wearable devices, his work seeks to understand user behaviours in VR/AR/MR environments and enable innovative applications and services.
Zhanna Sarsenbayeva
Zhanna Sarsenbayeva
The University of Sydney
Australia
Zhanna Sarsenbayeva is a Lecturer in the School of Computer Science at the University of Sydney. Previously, she held the position of Doreen Thomas Postdoctoral Research Fellow in the School of Computing and Information Systems at the University of Melbourne. Her research interests include Accessibility, Ubiquitous Computing and Human-Computer Interaction. She holds a PhD in Engineering from the School of Computing and Information Systems, University of Melbourne (Australia), an MSc in Computer Science and Engineering from the University of Oulu (Finland), and a BSc in Computer Science from University College London (UK).
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