His research centres on Interactive XR Intelligence, a research agenda that examines how XR—including Augmented Reality (AR), Mixed Reality (MR), and Virtual Reality (VR)—can be integrated with artificial intelligence to enable richer interactions among people, intelligent agents, robots, and physical environments. This work treats XR not only as an immersive display technology, but also as an intelligent interface through which humans and AI systems can share perception, memory, intention, and action. He develops human-centred XR systems that enable spatial experiences to be captured, communicated, reconstructed, and revisited across different places and times.

A major theme of his research is XRMemory, which investigates how dynamic spatial experiences can be recorded, represented, compressed, reconstructed, and replayed as memory-like environments. His work explores semantic scene graphs, spatio-temporal representations, spatial data compression, and adaptive replay techniques that preserve not only the geometry and appearance of a place, but also its spatial context, embodied activity, object interactions, and environmental meaning. This research aims to support asynchronous experience sharing, XR telepresence, remote collaboration, training, and cultural experiences by allowing people to revisit or adapt recorded experiences across heterogeneous physical and virtual environments.

A second research direction is XR for Physical AI. In this work, XR provides embodied agents and robots with augmented perception, spatial memory, and shared world models for operating in complex real-world environments. He investigates how human intentions, object affordances, physical constraints, and agent actions can be represented and communicated through XR. The broader objective is to develop interfaces that help humans and intelligent agents understand one another, coordinate their actions, and collaborate safely and effectively within shared physical–digital spaces.

Building on these foundations, his research is expanding towards digital selves and autonomous agency. This direction explores personalised XR twins and digital agents that can retain contextual knowledge, represent the people they support, and assist with work, communication, and collaboration across realities. A central challenge is ensuring that these agents remain aligned with the intentions, preferences, and values of the individuals they represent while preserving meaningful human control.

Together, these research directions seek to connect perception, memory, action, and collaboration across physical and virtual worlds. His long-term goal is to create XR and AI systems that augment human capabilities beyond the conventional boundaries of space, time, and reality.