Field of Research (FoR)
Dr. Jiyang Jiang is a researcher in neuroimaging and brain ageing. He is currently appointed as a Postdoctoral Research Fellow at Centre for Healthy Brain Ageing (2016-). Dr. Jiang completed a PhD in Psychiatry degree from UNSW (2016). He also hold a Master of Professional Engineering (USYD, 2010) and a Bachelor of Engineering (2008) degrees. He has broad research interests in neuroimaging and ageing brains, including brain strucutral and...view more
Dr. Jiyang Jiang is a researcher in neuroimaging and brain ageing. He is currently appointed as a Postdoctoral Research Fellow at Centre for Healthy Brain Ageing (2016-). Dr. Jiang completed a PhD in Psychiatry degree from UNSW (2016). He also hold a Master of Professional Engineering (USYD, 2010) and a Bachelor of Engineering (2008) degrees. He has broad research interests in neuroimaging and ageing brains, including brain strucutral and functional network characteristics in cognitive reserve, imaging neuroinflammation, and application of machine learning in neuroimage segmentations and disease prediction.
- PhD in Psychiatry (UNSW, 2016)
- Master of Professional Engineering in Telecommunications (USYD, 2010)
- B.Eng in Mechtronics (BISTU China, 2008)
- 2019 Dementia Centre for Research Collaboration (DCRC) Travel Grant
My Research Activities
Full publication list on Google Scholar
Full publication list on Scopus
- Using network science to understand cognitive reserve
- Regenerative neuroscience
- Using cutting-edge imaging techniques [e.g. free water corrected diffusion imaging, and 18-kDa translocator protein (TSPO) positron emission tomography (PET)] to understand the role of neuroinflammation in ageing brains
- Lesion segmentations using machine learning techniques (convolutional neural network, recurrent neural network)
Contributions to Research Community
- I published a software package for neuroimaging data post-processing, called CHeBA Neuroimaging Software (CNS). It can be downloaded from here. The software package provides scripts to process structural and functional MRI images (T1/T2FLAIR, DWI, fMRI, ASL, etc). One of the main modules is UBO Detector (see methodology paper) which is a machine learning-based, fully automated pipeline for the segmentation of white matter hyperintensities (WMH). TOolbox for Probabilistic MApping of Lesions (TOPMAL) is an extention of UBO Detector to map WMH lesions to strategic white matter fibre tracts to enable lesion symptom mapping studies (see TOPMAL paper). The software package has been downloaded 95 times by 69 international institutes since its first release in August 2017 (data accessed on Nov 2019).
Membership in Professional Organisations
- Member, Organization for Human Brain Mapping (2013-)
- Member, Society for Neuroscience (2016-)
- Member, International Society for Magnetic Resonance in Medicine (2017-)
- Member, Alzheimer's Association (2019-)
- Peer-reviewer for a number of scientific journals, including Neuroimage, Human Brain Mapping, Neurobiology of Aging, Neuroimage Clinical, Journal of Gerontology: Biological Sciences, Journal of Neurological Sciences, etc.
- Member of abstract review team for 2019 Alzheimer's Association International Conference (AAIC), invited by the Scientific Program Committee's Neuroimaging workgroup.
My Research Supervision
Areas of supervision
- Structural and functional neuroimaging
- Brain ageing and dementias
- Application of machine learning techniques to medical image processing
- 1 PhD as joint supervisor (equivalent to primary supervisor)
- 2 PhDs as secondary supervisor
- 2 Research Assistants