Rate My Professor Jun See

His research centers on deep multiplex modeling of human brain networks, with expertise in deep learning, statistical modeling, network science, time series, and connectomics, contributing to Sustainable Development Goal 3: Good Health and Well-being. Supervised by Associate Professor Chee-Ming Ting, Dr. Fuad Noman, and Professor Raphaël C.-W. Phan, his work advances understanding in these areas. See teaches FIT1043 Introduction to Data Science and FIT3152 Data Analytics. A key publication is 'Deep Multi-Graph Embedded Clustering for Community Detection in fMRI Functional Brain Networks Across Individuals' (2024), co-authored with C.-M. Ting, F. Noman, J. Y. Loo, Y. F. Tan, H. Ombao, and R. C.-W. Phan, published in the proceedings of the 2024 IEEE International Conference on Image Processing (ICIP), pages 2996-3002.