A/ProfJing Jiang

Dr Jing Jiang is an Associate Professor in the School of Computer Science and a core member of the Australian Artificial Intelligence Institute (AAII) at the University of Technology Sydney (UTS). She is an Australian Research Council (ARC) DECRA Fellow.

Her research focuses on collaborative learning and decision-making, with expertise in federated learning, reinforcement learning, and personalised AI. She develops methods that enable agents to learn collaboratively from distributed experience, adapt to heterogeneous and evolving environments, and make effective decisions under uncertainty. Her research also encompasses lifelong learning and meta-learning, with applications in personalised recommendation and long-term user wellbeing.

Dr Jiang has authored more than 100 publications in leading international conferences and journals, including NeurIPS, ICML, ICLR, AAAI, IJCAI, CVPR, KDD, and IEEE TPAMI, TNNLS, and TKDE. She has secured more than AU$2.5 million in research funding through ARC Discovery and Linkage Projects, a CSIRO/Data61 Collaborative Research Project, and industry-funded research projects.

She contributes actively to the international research community as an area chair, senior programme committee member, and reviewer for leading AI and machine learning conferences and journals. Her broader academic service includes conference programme leadership and organising roles. She was a recipient of the Australian International Postgraduate Research Scholarship (IPRS).