A/Prof Tony Huang is currently the Director of the Data Science and Innovation courses at the UTS Transdisciplinary School (TD School) and an Executive Committee member of the UTS Visualisation Institute. Prior to joining UTS, he led the Human-Data Interaction Program at the Swinburne Data Science Research Institute. His research expertise lies in human-computer interaction and human-centred responsible AI. His work focuses on the design and evaluation of data visualisations, user interfaces, and interaction techniques/technologies that integrate human intelligence with machine learning to deliver AI-powered, data-driven solutions supporting effective data exploration, communication, and decision-making.

Dr Huang holds a PhD degree in Computer Science, with training in Experimental Psychology and professional experience in Psychometrics. He is an author of over 150 publications including books entitled “Handbook of Human Centric Visualisation” and “Human Factors in Augmented Reality Environments”. Dr Huang’s research has been supported by Australian government funding agencies and commercial industry partners with a total value of over 3 million dollars including highly prestigious and competitive ARC Discovery and Linkage projects, and has achieved impact both in academia and in industry. He gives keynote/plenary speeches, invited talks and seminars at conferences and universities worldwide, and has been named among the Standford's top 2% scientists worldwide each year since 2020. 

Dr Huang leads a research team comprising PhD students, visiting scholars, and postdoctoral researchers engaged in a range of research and industry projects. The team focuses on: 1) Developing interactive visualisations/interfaces to facilitate human-data interaction, supporting business analytics in knowledge discovery and communication of analytical findings to stakeholders for informed decision-making. This work aims to strengthen the role of the human-in-the-loop in data analytics. 2) Combining traditional data-driven techniques, such as machine learning and statistical methods, with interactive visualisations for the design and development of methodologies and tools that integrate human creativity and innovation into sustainable data analytics practices. 3) Collaborating with industry partners on projects that deliver compelling visualisations, effective interactions, optimal analytical methods, and robust engineering solutions, transforming research insights into real-world impact across domains including health, biology, business, finance, social sciences, education, and manufacturing.

Dr Huang is currently Associate Editor of Behaviour and Information Technology Journal, and a co-chair of the award-winning technical committee on Visual Analytics and Communication for IEEE SMC Society. He was an Editorial Board Member of Journal of Computer Languages, Steering Committee Chair for International Conference on Information Visualisation, Associate Editor-in-Chief of Journal of Visual Languages and Computing and a guest editor for a number of SCI indexed journals. He is a grant proposal assessor for Natural Sciences and Engineering Research Council of Canada (NSERC), Dutch Research Council (NWO) and Australian Research Council (ARC), and an examiner of PhD theses for a number of top Australian universities. He has served as a conference chair, a program committee chair, or an organization chair for a number of international conferences and workshops. He was a general chair for the ACM Symposium on Spatial User Interaction (SUI) in 2023 and 2024. He is a general co-chair of the 19th IEEE Pacific Visualization Conference (PacificVis) and the 24th Australasian Data Science and Machine Learning Conference (AusDM), to be held in Sydney in 2026.