About me
Dr. Wang's broad research focus lies in AI, machine learning, and deep learning, with an interest in their interdisciplinary applications, such as medical machine learning and precision agriculture. She received a joint Ph.D. degree from The Hong Kong Polytechnic University (PolyU) and the University of Technology Sydney (UTS) in 2018 prior to joining Murdoch.
Her recent research focuses on developing cutting edge methods for learning from complex and imperfect data and learning environments and achieving model robustness and explainability. She has published high quality research papers in journals such as IEEE TCYB, IEEE TFS, IEEE SMC, and IEEE JBHI.
She has secured research funding as Chief Investigator from Google Research; the Western Australian Government’s Future Health Research and Innovation (FHRI) Fund through multiple schemes; the Department of Jobs, Tourism, Science and Innovation (JTSI); Healthway; the Australian Government’s Medical Research Future Fund (MRFF); the Hong Kong Innovation and Technology Fund; the German Academic Exchange Service (DAAD); and Murdoch University’s Vice Chancellor’s Grant, with total research funding of approximately AUD 2.2 million. She is also a Chief Investigator in the ARC Research Hub for Responsible AI for a Sustainable Grain Industry. Since 2021, she has served as a Chapter Chair within the IEEE Western Australia Section.
MU students who are interested in pursuing an honors or master's thesis project, and future students interested in pursuing a PhD, are encouraged to contact via email.