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Fellow researchers
Useful links
Dr Guanjin (Brenda) Wang
PhD (PolyU, UTS), MIT and BITS
Lecturer in Information Technology
About me
Guanjin (Brenda) Wang is a lecturer in the Discipline of Information Technology, Mathematics and Statistics in the College of Science, Health, Engineering and Education. Prior to 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 continuous interest in a variety of research topics. Her current research focuses on artificial intelligence, machine learning, data mining, and health informatics.
Teaching area
- ICT583 Data Science Applications
- ICT602 Advanced Data Analysis
- BSC301 Applied Research Skills in ICT
- ICT521 IT Professional Practice
Research areas
AI and Machine Learning
Data Mining
Transfer Learning
Health Informatics
Professional and community service
IEEE Member, ACS Member, Fellow of HEA
Vice Chairperson in IEEE Western Australia Section – SMC Chapter committee (2019-current)
Treasurer in IEEE Western Australia Section – CIS/RAS Chapter committee (2018-current)
Doctoral and masters supervisions
PhD students (co-supervising):
Bimal Philip Weerakody
Lixia Ma
Publications
Journals
- Wang, G., Zhang, G., Choi, K., Lam, K., Lu, J., (2020), Output based transfer learning with least squares support vector machine and its application in bladder cancer prognosis, Neurocomputing: an international journal, 387, 28 April 2020, .
- Wang, G., Teoh, J., Lu, J., Choi, K., (2020), Least squares support vector machines with fast leave-one-out AUC optimization on imbalanced prostate cancer data, International Journal of Machine Learning and Cybernetics, Published 27 Feb 2020, , .
https://scholar.google.com/citations?user=rqn08ogAAAAJ&hl=en
