Yang Lu

Dr. Yang Lu is a researcher affiliated with the Department of Computer Science at The University of Sydney. Their work spans data mining and knowledge discovery, business process management, machine learning, data management and data science, epidemiology, and public health. Dr. Lu's research focuses on advancing methodologies and applications within these areas, with an emphasis on interdisciplinary approaches. Their profile highlights contributions to discovery-driven research, particularly in the intersection of data science and public health.

Yang Lu is a researcher at The University of Sydney, specializing in process science, data science, information systems, and health informatics. Their work focuses on advancing process mining techniques to analyze event logs and extract meaningful insights from complex processes, particularly in healthcare settings. Lu's research includes developing deep learning methods for repairing missing activity labels, detecting process drifts, and identifying branching frequency changes in process models. They also explore predictive process monitoring to forecast clinical outcomes, such as ICU readmissions and mortality risks for patients with acute coronary syndrome. Additionally, Lu investigates AI bias and confounding risks in health feature engineering, aiming to improve clinical management through data-driven frameworks.