Rate My Professor Junbin Gao

Professor Junbin Gao serves as Professor of Big Data Analytics in the Discipline of Business Analytics at the University of Sydney Business School, where he has been appointed since 2016. Before this role, he was Professor of Computing in the School of Computing and Mathematics at Charles Sturt University from 2005 to 2016, following earlier positions as Senior Lecturer and Lecturer there starting from 2002. Gao obtained his Bachelor’s degree in Computational Mathematics from Huazhong University of Science and Technology in 1982 and his PhD from Dalian University of Technology in 1991. His early research focused on approximation theory and the application of multivariate spline functions in numerical solutions for partial differential equations. He later shifted to machine learning research, concentrating on kernel methods and graphical models. His current research specializations include deep learning, tensor analysis, spectral graph theory, hyperspectral image analysis, and biomedical image analysis.

Junbin Gao has earned notable recognition for his contributions, including Faculty Academic Awards for Excellence in Research from the Faculty of Business at Charles Sturt University in 2010, 2012, and 2015, and the 2014 Charles Sturt University Vice-Chancellor’s Award for Research Excellence. He has produced an extensive body of work, with over 650 publications listed on ResearchGate and significant citation impact. Key publications encompass "Laplacian regularized low-rank representation and its applications" (2015, cited 483 times), "Multiview spectral clustering via structured low-rank matrix factorization" (2018, cited 429 times), "Optimized graph convolution recurrent neural network for traffic prediction" (2020, cited 421 times), "Image segmentation for MR brain tumor detection using machine learning: a review" (2022, cited 391 times), and "Hierarchical graph convolution network for traffic forecasting" (2021, cited 303 times). These contributions have advanced fields such as spectral clustering, graph neural networks, traffic forecasting, and medical image analysis. Gao supervises PhD students and participates in teaching activities within business analytics.