A Lancaster University Professor has been elected as a Fellow of a prestigious international computing organisation.
Professor Jun Liu, Chair of Digital Health at Lancaster University’s School of Computing and Communications, has been elected as a Fellow of the International Association for Pattern Recognition (IAPR).
IAPR Fellowships are awarded biennially and are highly selective. This year 15 Fellows were elected to the IAPR.
Professor Liu’s research spans artificial intelligence, computer vision, machine learning and digital health, with a particular focus on enabling AI systems to understand human actions, interactions, behaviour and intent from visual and other forms of data such as language and 3D body movement.
A major part of his work has made foundational contributions to human behaviour analysis and video understanding, including developing a series of influential benchmark datasets and methods for computer representing, modelling and recognising human actions and behaviours.
This research is relevant to a range of applications, including human-centred AI, intelligent healthcare and robotics.
His research has recently expanded towards large language models, and AI agents capable of reasoning, planning and taking actions. This includes investigating how AI models can understand and reason about human actions, behaviours and interactions, and how these capabilities can support intelligent agents and robotic systems that perceive, understand and interact with people and their environments.
He is interested in translating these advances into digital health, where AI-based understanding of human movement and behaviour can support health assessment and human-centred healthcare technologies.
Professor Liu said: “I am deeply honoured to be elected as an IAPR Fellow. IAPR is one of the leading international organisations in pattern recognition and artificial intelligence, so this recognition means a great deal to me. It is particularly meaningful to have my work on human behaviour analysis and video understanding recognised in this way. I am also very grateful to my students, collaborators and colleagues over the years, whose contributions have been an important part of this research journey.”