معرفی
Song Wang is a Senior Lecturer in the Department of Engineering at La Trobe University, Melbourne, Australia. She holds a B.Eng. from Xi'an Jiaotong University and a Ph.D. in Control Theory from the University of Melbourne. Her research focuses on biometric security, IoT security, and privacy-preserving authentication systems, with a particular emphasis on applying machine learning and deep learning to solve challenges in healthcare, cybersecurity, and multimedia security.
Dr. Wang's academic journey includes roles as a design engineer at NEC Australia (2000–2004) and as a Lecturer (2005–2008) before becoming a Senior Lecturer at La Trobe University (2009–present). Her work has explored cancellable biometrics, secure IoT authentication, and model inversion attacks in AI systems. She has collaborated extensively on projects involving medical imaging (e.g., Alzheimer’s disease prediction via structural MRI) and privacy-preserving frameworks for EEG and fingerprint authentication.
Her recent publications highlight advancements in graph convolutional networks for driver drowsiness detection, homomorphic encryption for biometric data, and lightweight authentication systems for resource-constrained IoT devices. These contributions underscore her expertise in bridging theoretical research with practical applications in cybersecurity and healthcare.
No scientific awards are explicitly mentioned in the provided materials. Her research has been supported by collaborations with institutions like the University of Melbourne and industry partners, though specific grants are not detailed.
