Researcher

Dr Jiyang Jiang

Keywords

neuroimaging

functional neuroimaging

cognitive neuroscience

neurodegenerative diseases

cerebrovascular disease

magnetic resonance imaging

diffusion magnetic resonance imaging

Field of Research (FoR)

Radiology and Imaging

Artificial Intelligence and Image Processing

Image Processing

Central Nervous System

Mental Health

Biography

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.

My Qualifications

Education

PhD in Psychiatry (UNSW, 2016)
Master of Professional Engineering in Telecommunications (USYD, 2010)
B.Eng in Mechtronics (BISTU China, 2008)

My Awards

2019 Dementia Centre for Research Collaboration (DCRC) Travel Award
2015 Chinese Government Award for Outstanding Student Abroad, China Scholarship Council

My Research Activities

Publicaitons

Full publication list on Google Scholar

Full publication list on Scopus

Research Interests

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-reviewing

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.