Autonomous learning – ARC Laureate project by Jie Lu

Autonomous learning for decision-making in complex situations

Australian Research Council Australian Laureate Fellowships are the most prestigious scientific awards for excellence in Australia, attracting and retaining world-class researchers and research leaders of international reputation.

Led by Distinguished Professor Jie Lu, this ARC Laureate Fellowship project advances autonomous machine learning to transform data‑driven decision‑making in complex, uncertain and dynamic environments. As the first UTS recipient of the prestigious ARC Laureate Fellowship, Professor Lu and her research team are developing novel theories, methodologies and algorithms to enable computational intelligence and machine learning from big data in massive, uncertain and dynamic situations.

Objectives

The Laureate project has the following objectives:

• To develop ground-breaking, internationally competitive basic and applied research on autonomous machine learning for decision-making.
• To forge strong links among national and international researchers, research communities and industries in machine learning and decision support systems.
• To enhance the scale and focus of machine learning-based decision-making research and its applications.
• To provide an excellent research training environment and exemplary mentorship to nurture early-career researchers (PhD students and postdocs) in Artificial Intelligence, particularly machine learning and decision support systems.