معرفی
Qian Li is a Lecturer in Computing at the School of Electrical Engineering, Computing and Mathematical Sciences (EECMS) at Curtin University, Australia. She holds a Ph.D. from the Chinese Academy of Sciences and M.Sc. degrees from Shandong University and the University of Luxembourg. Her research focuses on causal machine learning, topological data analysis, and optimal transport, with applications in computer vision, data science, and recommendation systems. She has published over 50 articles in top-tier venues like IEEE Transactions and ACM conferences.
Education
- Ph.D., Chinese Academy of Science (CAS)
- MSc (Research), Shandong University
- MSc (Research), University of Luxembourg
Research Interests
Dr. Li explores causal reasoning for machine learning, leveraging mathematical tools like Riemannian geometry and optimal transport to address challenges in robustness and interpretability. Her work spans causal inference, counterfactual fairness, and explainable AI, with applications in healthcare, energy, and commerce. Recent projects include causal-based recommendation systems and topological data analysis techniques.
Key Achievements
- Secured a $120k grant from China's National Natural Science Foundation (2020-2024).
- Lead researcher on AI-driven solar energy storage projects with UNSW and Providence Asset Group.
- Recipient of prestigious scholarships including Chinese National Graduate Scholarship (2016, top 1%).
Grants & Students
Current Ph.D. students include Xiangmeng Wang and Tri Dung Duong. She has supervised graduates like Yangyang Shu (Adelaide University Research Associate) and Jun Yin (UTS).
Labs & Teams
Leads research in causal AI and topological data analysis, collaborating with institutions like UTS and the University of Melbourne.
