Professor Xu Guandong is a distinguished figure in data science, artificial intelligence, and social computing. His innovative research has earned him many international acclaims. With a penchant for pushing the boundaries of knowledge, he is a trailblazer in applying disruptive technologies to drive research excellence and practise innovation across multi-disciplinary realms.

One of the resounding successes during his academic journey is securing funding of over AU$10 million from the prestigious Australia Research Council, government agencies, and dynamic industry partnerships. This investment reflects the profound impact of his research on both academic and practical domains.

Professor Xu's scholarly contributions are nothing short of prolific, with more than 240 papers published in leading international journals and revered conference proceedings. His work encompasses a wide spectrum of fields, including recommender systems, information retrieval, data-driven knowledge discovery, and social computing, and continues to garner increasing citations from the academic community. He was listed in the top 2% in the Stanford list of the world’s most-cited scientists for consecutive years.

Beyond his research, he also serves as the founding Editor-in-Chief of the Human-centric Intelligent Systems Journal (Springer) and the Assistant Editor-in-Chief of the World Wide Web Journal (Springer). His visionary role as the founding Steering Committee Chair of the International Conference of Behavioural and Social Computing further underscores his dedication to advancing these dynamic fields and nurturing the next generation of scholars.

In recognition of his profound contributions, he was elected as a Fellow of the Institution of Engineering and Technology (IET) in the United Kingdom and Fellow of the Australian Computer Society (ACS) in both 2021 and 2022. Professor Xu's journey is a testament to the transformative power of research and innovation, and his research output serves as an inspiration to all who seek to explore the frontiers of knowledge and catalyse change in the dynamic landscape of data science and artificial intelligence.