Dr Guanjin (Brenda) Wang
PhD (PolyU, UTS), MIT and BITS

Guanjin (Brenda) Wang works as a lecturer in Information Technology. Before joining Murdoch University in November 2018, she obtained a joint Ph.D. degree from The Hong Kong Polytechnic University (PolyU) and University of Technology Sydney (UTS). It was a wonderful journey in which she became well prepared for being an independent researcher with a continuing scientific passion. Her current research focuses on artificial intelligence, machine learning, transfer learning, data mining and interdisciplinary solutions to real-world challenges. She has publications in top-tier journals and conferences, including IEEE TCYB, IEEE TFS, IEEE J-BHI, IEEE TSMC: Systems, IEEE TNSRE, Neurocomputing and IJCNN. She is currently a member of IEEE and ACS, Associate Fellow of AIDH and Fellow of HEA.

• ICT583 Data Science Applications
• ICT606 Machine Learning

AI and Machine Learning

• Learning from imperfect data, including imbalanced data problems, insufficient data problems, data heterogeneity problems, data uncertainty/imprecision problems, labeling problems, etc.
• Model interpretability

Interdisciplinary research, for example AI for Healthcare

• The related project applications include bladder cancer prognosis, prostate cancer diagnosis, dementia risk detection, quality of life prediction, epilepsy detection, etc.

Machine learning for disease risk analysis

Machine learning for cancer detection and prognosis

Machine learning for biosecurity-related issues

Machine learning for social media analysis

PhD students (co-supervising):

Bimal Philip Weerakody

Lixia Ma

The detailed publications can be found on Google Scholar