Dr. Jane Z Wang

Zhen Jane Wang received her B.Sc. degree from Tsinghua University, China, in 1996 and her M.Sc. and Ph.D. degrees from the University of Connecticut (UConn) in 2000 and 2002, respectively, all in electrical engineering. While at UConn, she received the annual Outstanding Engineering Doctoral Student Award. She has been a Research Associate at the University of Maryland, College Park. Since Aug. 2004 she has been with the ECE dept. at UBC, Canada, and she is currently Professor. She is an IEEE Fellow (2017), a Fellow of the Canadian Academy of Engineering (FCAE, 2018), and a member of the College of New Scholars, Artists and Scientists of the Royal Society of Canada (2017).

Current Research Focus

Dr. Wang’s work covers a broad research spectrum that is multidisciplinary in nature. She has invented powerful methodologies for a wide range of real-life problems, especially for anti-collusion digital media fingerprinting, brain connectivity network modeling, and deep learning-based medical image analytics. Her current work in the areas of digital media security and neurological data analytics has been acknowledged with international awards.

Example Project(s)

“Information Management and Security in Media-Sharing Networks”

Recent massive sharing and distribution of multimedia over networks creates a technological revolution to the entertainment and media industries and introduces the new concept of web-based social networking communities. However, it also poses new challenges to the efficient, scalable, reliable exchange of multimedia over networks. The objective is to establish a multimedia management and security framework to provide effective management, secure and reliable sharing of digital media in large-scale social networks via investigating both fundamental technologies and system design methodologies.

“Deep Learning for Medical Image Analysis”

During the last few years, deep learning, in particular convolutional networks, has rapidly become popular for medical image analysis, including classification, object detection, segmentation, registration, and other tasks. Wang’s group has been working on a wide range of AI medical problems. Examples include: (1) Skin image analysis, with focus on developing automated detection, segmentation, pattern recognition and computer-aided diagnosis based on skin vasculatures. (2) 2D/3D medical image registration, with focus on accurate 2D/3D registration of pre-operative 3-D data and intra- operative 2-D X-ray images (which is a key enabler for image-guided therapy). (3) MRI data analytics, with focus on 3D CNN based automatic diagnosis of Attention Deficit Hyperactivity Disorder using functional and structural MRI data.

Research Keywords

Statistical Signal Processing, Machine Learning, Biomedical Signal/Image Processing, Digital Media Security, Brain Data Analytics