Stephen Tierney

Dr. Stephen Tierney is a Senior Lecturer in Business Analytics at the Sydney Business School, University of Sydney. His research focuses on machine learning, computer vision, image processing, and recommendation systems, with contributions to subspace clustering, data visualization, and image restoration. He advises two current PhD students: Pengqing SHI (on scalable graph neural networks) and Widhiyo SUDIYONO (on stock market prediction via deep learning).

Recent work includes policy-relevant studies on NSW teachers' pay trends and labor market skill dynamics. His publications span top-tier journals like Signal Processing and conferences such as IEEE CVPR, covering topics ranging from efficient subspace clustering algorithms to image fusion techniques in remote sensing.

• Key contributions include robust functional manifold clustering (2021) and low-rank sequential subspace clustering (2015).
• Interdisciplinary projects merge business analytics with technical domains like computer vision and signal processing.